Abstract
This article presents neurolinguistic data on word stress perception in Cairene Arabic, in comparison to previous results on German and Turkish. The main goal is to investigate how central properties of stress systems such as predictability of stress and metrical structure are reflected in the prosodic processing of words. Cairene Arabic is a language with a regular foot-based word stress system, leading to highly predictable placement of word stress. An ERP study on Cairene Arabic is reported, in which a stress violation paradigm is used to investigate the factors predictability of stress and foot structure. The results of the experiment show that for Cairene Arabic the internal structure of prosodic words in terms of feet determines prosodic processing. This structure effect is complemented by a frequency effect for stress patterns.
Introduction
Recent crosslinguistic studies on word stress perception revealed a correlation between the predictability of stress positions in a native language and the sensitivity to stress properties in second languages. In a series of studies utilizing a stress sequence recall paradigm, Dupoux, Peperkamp and colleagues found that speakers of a language with predictable word stress have difficulties to store stress information in abstract phonological representations when learning an L2 with lexical stress (e.g., Dupoux et al., , , , ; Peperkamp and Dupoux, ; Peperkamp et al., ). Within a continuum of predictability ranging from predictable without exceptions to non-predictable, grades of stress-“deafness” were identified as a function of the number of exceptions from a predictable stress position. Speakers of a language with invariable stress (e.g., French) are less sensitive to stress information than speakers of a language with variable stress (e.g., Spanish). Furthermore, the more variable stress positions in a language are the more likely it is that stress information has to be lexically specified. In more recent studies, Peperkamp et al. () suggest the crucial factor for stress sensitivity to be the amount of exceptional stress in a given language. The fewer cases of exceptional stress the more likely that speakers show reduced sensitivity to stress information.
So far, investigations of language specific stress representations have mainly addressed the influence of fixed vs. variable stress. The question arises what kind of stress representation has to be assumed for languages with variable stress that are said to be predictable by means of metrical structure, i.e., by predictable parsing routines of syllables into feet. In metrical theory (e.g., Hayes, ) it is assumed that strong and weak syllables are grouped to either trochaic or iambic feet in which trochaic feet bear stress on the first syllable and iambic feet on the second syllable. Cairene Arabic is a trochaic and quantity-sensitive language in which bimoraic feet (consisting of either one heavy or two light syllables) are built from the left edge of a phonological word and in which the rightmost of these feet bears main stress (see Section Metrical Properties of Cairene Arabic for details, and also Hayes, ; Watson, ). Cairene Arabic is quantity-sensitive in the sense that heavy syllables build monosyllabic feet and light syllables bisyllabic ones. The position of stress varies according to the weight of the syllables and the number of feet. Thus, in contrast to languages with a fixed stress position (like final stress in Turkish; e.g., Kaisse, 1985) stress in Cairene Arabic is predictable by structure.
In order to test the effects of predictability and metrical structure, we performed a study measuring EEGs [and calculating event-related potentials (ERPs)] while native speakers of Cairene Arabic listened to correctly and incorrectly stressed words. Such a stress manipulation paradigm in an ERP study has also been applied in studies of German (Domahs et al., ), a language with word stress depending on metrical structure, and Turkish (Domahs et al., ) with mostly predictable stress. The results of both studies provide starting points to compare stress processing in a language with predictable stress (Turkish) and a language with non-predictable stress guided by metrical structure (German) with Cairene Arabic, in which stress is assumed to be predictable as well as guided by structure. This selection of languages allows us to investigate whether the representation and processing of stress in Cairene Arabic depends mainly on the presence or absence of lexical stress specifications, on metrical structure of words or on both.
Previous ERP studies on word stress processing
For German and Turkish word stress perception, a series of ERP experiments was performed in which participants were confronted with correctly and incorrectly stressed words of their native language (Knaus et al., ; Domahs et al., , ).
The measurement of event-related potentials is suitable to investigate the online processing of certain language structures or manipulations in comparison to another condition. ERPs that are obtained via averaging processes over stimuli of the same kind and over participants are negative or positive going deflections time-locked to the stimulus onset and reflecting certain cognitive processes.
In ERP experiments on German or Turkish stress perception, trisyllabic monomorphemic words were presented auditorily, once with the correct stress pattern, and twice with the incorrect ones. The participants' task was to decide whether stress was assigned to the appropriate syllable by pressing either a “yes” or a “no” response button. The visual presentation of the target words, which immediately preceded the auditory input, helped to avoid lexical search effects, and in consequence, facilitated the decision by reducing efforts in lexical retrieval. Furthermore, the visual presentation triggered an expectation that was either met or violated in the auditory stimuli. The studies on Turkish and German demonstrated particular ERP findings, which will be summarized briefly in the following two sections.
Turkish
Turkish is a language with a clear default pattern: default stress is, according to many descriptions, realized on the word-final syllable (e.g., Lewis, 1967/2000; Sezer, ; Hayes, ; Kornfilt, ; Inkelas, ; Kabak and Vogel, , ; Inkelas and Orgun, ; Göksel and Kerslake, ). The regular word-final stress pattern is quantity-insensitive, and long vowels do not attract main stress.
For the study on Turkish prosodic processing (reported in Domahs et al., ), a set of words with predictable final stress (e.g., mıknaˈtız; “magnet”) and with exceptional lexical stress on the penultimate syllable (e.g., tiˈyatro; “theater”) was presented with either correct stress or manipulated stress on each of the other two syllables (e.g., *ˈmıknatız or *mıkˈnatız for words with correct final stress and *ˈtiyatro or *tiyaˈtro for words with correct prefinal stress). Comparisons of stress violations with correct stress conditions revealed that incorrect penultimate stress (e.g., *mıkˈnatız) evoked a positivity (between 850 and 1100 ms), while no such component occurred for the perception of items with incorrect final stress (= default stress) in words with lexical penultimate stress (e.g., *tiyaˈtro).
Such positivity effects in evaluation tasks have been suggested to reflect sensitivity to a deviant structure with an amplitude being correlated with the degree of abnormality (e.g., Picton, ; Coulson et al., ): The less likely a metrical structure the more pronounced the positivity effect. In the literature, this task-related component has been labeled P300 (e.g., Picton, ; Coulson et al., ), P600 (e.g., Marie et al., ; Schmidt-Kassow et al., 2011a,b) or LPC (e.g., Rugg and Nagy, ). The P300 reflects decision-making processes where the reduction of the amplitude indicate that stimulus information is not clear enough. Thus, this component reflects indirectly the grammaticality in stimulus categorization (e.g., Niewenhuis et al., ).
The different ERP results for deviating stress patterns in Turkish is depicted in Figure 1. In words with correct final stress (Figure 1A), both violations produce a late positivity if compared with the correct condition. The latency of the positivity, however, differs due to the fact that the position of stressed syllables, which are decisive for the identification of stress patterns, varies. In contrast to Figures 1A,B depicts a positivity effect for violations with initial stress in words with canonical penultimate stress, but no positivity effect for violations involving final stress. The asymmetrical patterning of positivity effects for the two word sets suggests that Turkish participants are sensitive to lexical stress patterns but insensitive to default stress, because violations with lexical stress patterns are perceived as less likely in contrast to violations with the default stress. Thus, our findings support and complement findings by Peperkamp et al. () for languages with predictable stress.
Figure 1
In addition to the P300 effect, an N400 effect, a negative going deflection around 250 and 500 ms post-stimulus onset, was obtained for violations with final stress. This effect was interpreted to reflect brain responses to an unexpected stimulus that produce higher costs in lexical retrieval (for a review of the N400 component see Kutas and Federmeier,
German
German monomorphemic words allow for final, penultimate, or antepenultimate stress. Which pattern to occur cannot be adequately predicted by means of stress rules. Though the stress position itself is considered not predictable, the underlying prosodic structure can be determined mostly on the basis of the weight of the final syllable. In most accounts of German phonological words, trochees are built in a right-to-left manner (Eisenberg,
The experiment on German word stress evaluation (reported in Domahs et al.,
Figure 2

Grand-average curves of correctly and incorrectly stressed German words (see also Domahs et al.,
In the present paper, we examine a third type of language, Cairene Arabic, with a predictable and foot based stress system. Strictly bimoraic feet are built from left to right and the rightmost foot receives main stress (see below Section Metrical Properties of Cairene Arabic). Hence, Cairene Arabic is situated between the Turkish and German system by having predictable word stress like Turkish, but varying positions of word stress due to quantity sensitive foot formation like German. The main goal was to see whether speakers of Cairene Arabic are insensitive to the very predictable stress positions in their language (as Turkish participants have been shown to be insensitive to the predictable stress pattern), or whether asymmetrical ERP results occur along the lines of metrical structure (stress derivation that change the structure produce P300 effects and those that maintain structure not). To test this, trisyllabic words with penultimate and final stress were compared in two conditions each: (i) penultimate words with one foot [e.g., va(ˈnil)Fja; “vanilla”; in the following word type 1] and with two feet [e.g., (mus)F(ˈtaʃ)Ffa; “hospital”; in the following word type 2] and (ii) finally stressed words with a bisyllabic initial foot and a monosyllabic final foot [e.g., (vi.ta)F(ˈmi:n)F; in the following word type 3] and with two monosyllabic feet [e.g., ki(ris)F(ˈta:l)F“crystal”; in the following word type 4]. If structure licenses stress positions, we should find that deviating stress realized on a strong syllable of a foot produces less pronounced positivities compared to deviating stress on a weak syllable (for instance, incorrect antepenultimate stress in words of the structure (mus)F(ˈtaʃ)Ffa should evoke less pronounced effects compared to incorrect antepenultimate stress in words of the structure va(ˈnil)Fja).
Before we continue to present the experiment on Cairene Arabic we would like to introduce the main characteristics of the Cairene Arabic stress system.
Metrical properties of Cairene Arabic
The Cairene Arabic dialect of Arabic is the most widely spoken language in Egypt. Half of the population speaks the Cairene Arabic dialect as its first language. Note that Cairene Arabic is a spoken language (though also written forms exist), while the literary language of Egypt is Standard Arabic (Woidich,
Cairene Arabic is not only the most widely spoken dialect in Egypt, it is also the best described Arabic dialect, particularly as regards its metrical structure. In the literature, pre-generative (Harrell,
(1)
final stress
[gaˈto:] “cake”, [vitaˈmi:n] “vitamin”, [kirisˈta:l] “cristal”
penultimate stress
[ˈbe:tak] “your house”, [vaˈnilja] “vanilla”, [musˈta ʃ fa] “hospital”
antepenultimate stress
[ˈkazino] “casino”, [sanˈtimitir] “centimeter”
The syllable in Cairene Arabic consists obligatorily of a single onset consonant followed by a short or long vowel. The coda maximally includes two consonants, but only one consonant in word-medial position. Syllable weight is important for the foot formation in Cairene Arabic because feet consist of minimally and maximally two moras, a unit proposed to define syllable weight (e.g., Hyman,
(2) Rules for Cairene Arabic stress
word final consonants are extrametrical: C → <C> / ___]word
foot construction: Build up bimoraic trochaic feet from left to right
No degenerate feet!
word layer construction: Group feet into a right-headed word constituent
(End Rule Right)
We also note that there are other types of evidence for the bimoraic trochee in this language although secondary stress corresponding to a foot not carrying word stress has been reported to be absent (Watson,
| (3) | full form | hypocoristic |
| Fahd | ˈdo.do | |
| Karim | ˈKi.ki | |
| Shaimaa | ˈʃo.ʃo | |
| Mostafa | ˈSˁa.sˁa |
The present study is designed to investigate whether the foot structure as proposed in metrical analyses of Cairene Arabic are psychologically real and used during the processing of lexical words.
ERP experiment on Cairene Arabic
The method used in the present ERP-experiment was adopted from the ones on German and Turkish reported in Domahs et al. (
Cairene Arabic
The aim of the present experiment is to test whether (i) native speakers of Cairene Arabic are sensitive to stress manipulations and (ii) whether the processing of stress manipulations is influenced by foot structure. For this purpose, participants were presented with correctly and incorrectly stressed trisyllabic words differing in syllable and foot structure.
Participants
Twenty-three right-handed native speakers of Cairene Arabic (20 men) were recruited for participation at the University Marburg, all of which having normal or corrected-to-normal vision and no hearing deficits. The participants' age ranged from 26 to 45 (mean age 32). All participants were born and raised monolingually in and around Cairo in Egypt, all from the Cairene Arabic dialect region. The participants' language skills comprised of second language knowledge of English, German, French, or Spanish. All participants stated to have been raised monolingually with Cairene Arabic as ambient language, and had been in Germany for 36 month in mean before participation, ranging from 1 month up to 7 years. Participants were instructed in Cairene Arabic to ensure that participants are well informed. Each participant was paid for his/her contribution. The data sets of three participants had to be excluded due to missing responses, left-handedness or excessive movement artifacts.
Note that a balanced proportion of women and men could not be obtained due to the fact that participation would have required removing the headscarf.
Material
In order to be able to investigate whether the foot structure constrains the processing of stress shifts, we investigated four word types that different in foot structure, as summarized in Table 1. Words with structure 1 and 2 are canonically stressed on the penultimate syllable and consist of heavy penultimate syllables with either long or short vowels followed by a consonant (for the sake of clarity only rhyme structures are illustrated, i.e., a structure CVC is mentioned as VC) and the first syllable is either footed or not, words with structure 3 and 4 are canonically stressed on the final syllable and contain super heavy final syllables. In structure 3, the first two syllables constitute a bisyllabic foot while in structure 4 the heavy penult constitutes a monosyllabic foot.
Table 1
| Structure | Conditions | Examples | |
|---|---|---|---|
| 1 | Correct PU stress | va.ˈnil.ja | “vanilla” |
| V(VC)V | Incorrect APU stress | *ˈva.nil.ja | |
| Incorrect final stress | *va.nil.ˈja | ||
| 2 | Correct PU stress | mus.ˈtaʃ.fa | “hospital” |
| (VC)(VC)V | Incorrect APU stress | *ˈmus.taʃ.fa | |
| Incorrect final stress | *mus.taʃ.ˈfa | ||
| 3 | Correct final stress | vi.ta.ˈmi:n | “vitamin” |
| (V.V)(VVC) | Incorrect APU stress | *ˈvi.ta.mi:n | |
| Incorrect PU stress | *vi.ˈta.mi:n | ||
| 4 | Correct finals stress | ki.ris.ˈta:l | “crystal” |
| V(VC)(VVC) | Incorrect APU stress | *ˈki.ris.ta:l | |
| Incorrect PU stress | *ki.ˈris.ta:l |
Conditions and material.
In words with canonical penultimate stress (structure 1 and 2), the question is whether stress moved from penultimate syllable to antepenultimate syllable produce less pronounced P300 effects when the antepenultimate syllable is head of a foot (structure 2) in comparison to unfooted (structure 1). In words with canonical final stress (structure 3 and 4), either the antepenultimate syllable (structure 3) or the penultimate syllable (structure 4) is the head of a foot and therefore a potential landing site for stress. Though the existence of secondary stress is disputed in Cairene Arabic, the question arises whether words are exhaustively parsed into feet and whether heads of feet are stressable in contrast to weak syllables of feet.
For each type of trisyllabic words, a set of 15 monomorphemic items (as given in Appendix) was selected and recorded by a female native speaker of Cairene Arabic in a sound-proof booth (44 kHz, 16 bit, mono). Each word was realized in the correct and in the two incorrect conditions (see Table 1). In order to ensure that incorrect stresses were not produced in an exaggerated manner, correct and incorrect words with the same stress pattern were recorded in a randomized list. The phonetic parameters of duration, intensity, and F0 of each stress pattern were compared between correct and incorrect conditions (e.g., between correct kirisˈta:l and incorrect *vanilˈja, see Table 2 with mean values for each stress patterns) showing that incorrect and correct stress realizations of a certain stress pattern differ significantly only with respect to duration because correct and incorrect conditions differ in syllable structure (e.g., kirisˈta:l ends in a super heavy syllable while *vanilˈja does not; for the statistical analyses of phonetic parameters see Table 2). But crucially, correct and incorrect versions of each stress pattern do not differ regarding F0 and intensity.
Table 2
| Stress pattern | Condition | Parameter | 1st syllable | 2nd syllable | 3rd syllable |
|---|---|---|---|---|---|
| Antepenultimate stress | Correct (filler items) | F0 | 238 (8.7) | 204 (6.0) | 168 (29.9) |
| Duration | 226 (55) | 196 (33) | 278 (55) | ||
| Intensity | 53.3 (3.3) | 51.2 (4) | 39.4 (3.7) | ||
| Incorrect | F0 | 238 (11.0) | 199 (9.3) | 180 (25.6) | |
| Duration | 279 (80) | 233 (51) | 300 (64) | ||
| Intensity | 53.3 (5) | 47.4 (5.5) | 39.5 (4.2) | ||
| Penultimate stress | Correct | F0 | 216 (5.6) | 228 (9.6) | 189 (15.5) |
| Duration | 265 (68) | 358 (67) | 339 (52) | ||
| Intensity | 49.1 (4.9) | 55.7 (3.6) | 41.6 (3.2) | ||
| Incorrect | F0 | 219 (11.3) | 231 (7.5) | 183 (25.9) | |
| Duration | 216 (62) | 425 (62) | 386 (81) | ||
| Intensity | 51.2 (6.5) | 51.8 (4.7) | 40.1 (3.9) | ||
| Final stress | Correct | F0 | 221 (8.0) | 218 (5.2) | 214 (7.2) |
| Duration | 172 (57) | 255 (68) | 629 (73) | ||
| Intensity | 52 (4.5) | 52 (5.9) | 48.6 (3.5) | ||
| Incorrect | F0 | 218 (9) | 216 (5) | 215 (5.9) | |
| Duration | 224 (78) | 232 (63) | 539 (77) | ||
| Intensity | 50.7 (5.3) | 49.7 (5.7) | 48.4 (3.4) | ||
| REPEATED MEASURES ANOVA | |||||
| Antepenultimate stress | F0 | F(1, 19) = 2.49; p > 0. 13 | |||
| Duration | F(1, 19) = 15.4; p < 0.001*** | ||||
| Intensity | F(1, 19) = 3.2; p > 0.08 | ||||
| Penultimate stress | F0 | F(1, 29) < 1 | |||
| Duration | F(1, 29) = 11.0; p < 0.003** | ||||
| Intensity | F(1, 29) < 1 | ||||
| Final stress | F0 | F(1, 29) = 2.3; p > 0.14 | |||
| Duration | F(1, 29) = 8.4; p < 0.008** | ||||
| Intensity | F(1, 29) < 1 | ||||
Mean values (SD in parentheses) of phonetic parameters fundamental frequency (F0 in Hz), duration (ms), and intensity (dB) as well as repeated measures ANOVAs on the factor correctness (correct vs. incorrect) per stress pattern.
Significant results are indicated by <*>
Significant results at 1% level are indicated by <**> and at 0.1-level by <***>.
Furthermore, the stimuli were not spoken in isolation but embedded in the following carrier sentence:
(3) howa lazem ye?ool vitami:n delwa?ti “He has to say Vitamin now!”
The carrier sentence was identical for each critical stimulus and included the stimulus in a citation-like context bearing nuclear stress. The carrier sentence avoids a list reading and a pitch fall at the end of the critical words.
Each of the 15 items per word condition was presented in the correct and in the two incorrect conditions. To increase the number of items per condition, each version of a stimulus was presented twice. Thus, the total number of critical items was 4 (word types) × 15 (individual items) × 3 (stress patterns) × 2 (repetitions) resulting in 360 tokens. In addition, 80 trials including words with correct antepenultimate stress were included as filler. This was done to ensure that each stress pattern occurred in correct and incorrect conditions, and that the number of correctly and incorrectly stressed words was balanced.
Procedure
Participants were seated in front of a computer screen in a sound-proof room. In each trial they were confronted with the visual presentation of an experimental item followed by the auditory presentation of the same item. The participants' task was to decide as accurately as possible whether the auditory stimuli were correctly stressed or not by pressing a response key of a push-button box. The task required the participants to activate internal stress representations (from the written input) and to compare these representations with stress information in the auditory presentation.
Each trial started with a fixation cross that appeared for 500 ms. An experimental item was then presented visually for 900 ms, followed by a blank screen for 250 ms before the auditory presentation of the stimulus started. The mean duration of the sentences was 3.9 seconds. Throughout the auditory presentation, the participants were asked to fixate on a cross in the center of the screen to avoid eye movement artifacts while listening. After the offset of each sentence, a question mark appeared on the screen and remained there until a yes or no button was pressed with a timeout of 2000 ms. Responses were given after the appearance of the question mark, but not immediately while listening to the critical items, to avoid movement artifacts. The assignment of thumbs to the yes and no buttons was counterbalanced across participants. During the answering period and the following intertrial interval of 3000 ms, the participants were allowed to blink and to rest their eyes. The experiment was controlled by the Presentation software (Version 15; Neurobehavioral Systems).
The stimuli appeared in eight experimental blocks consisting of 55 stimuli each, preceded by a short practice phase. Experimental and filler items were presented in pseudo-randomized order, each word appearing only once within each block. The order of blocks was varied for each participant to avoid sequence effects. The entire duration of the experimental session was approximately 60 min.
Data acquisition and analyses
(a) Behavioral Data
During each trial accuracy and reaction time data were measured. For statistical analyses, only the accuracies of judgments were calculated because response latencies were measured after the offset of the sentences with a delay of approximately 880 ms. The accuracy scores were calculated for each participant and condition and for each stimulus and condition.
In two repeated measures ANOVAs, the factors foot structure (two different structures) and stress position (antepenultimate, penultimate, and final) were analyzed in a 2 × 3 design for words with canonical penultimate and canonical final stress separately. We calculated two separate ANOVAs due to the fact that the structure conditions for words with either penultimate or final stress vary systematically.
(b) ERP Data
An electroencephalogram (EEG) was recorded from overall 24 Ag/AgCl electrodes via a BrainVision (Brain Products) amplifier. Four electrodes measured the electro-oculogram (EOG), i.e., horizontal and vertical eye movements. The reference electrode was placed at the left mastoid. EEGs were re-referenced off-line to both mastoids. The C2 electrode served as ground. The head electrodes were mounted on an elastic cap (Easy Cap). EEG and EOG were recorded with a sampling rate of 500 Hz and filtered offline with a 0.3 to 20 Hz bandpass filter. All electrode impedances were kept below 5 kΩ. Prior to data analysis, all individual EEG recordings were automatically and manually scanned for artifacts from eye or body movements and muscle artifacts. In total, 7.5% of the data with an amplitude change of more than 40 μV had to be excluded from analysis.
Averages were calculated per participant and condition starting from the onset of the auditory stimulus up to 1500 ms. For words with correct penultimate or final stress, incorrect conditions were compared with correct conditions. In analogy to earlier studies (Domahs et al.,
Furthermore, violations with penultimate and final stress evoked a biphasic pattern consisting of a negativity followed by a positivity, while violations with antepenultimate stress evoked only a positivity. This lack of a negativity is due to the fact that the positivity occurs within the negativity time-window. Table 3 provides an overview of time-windows per word type and incorrect stress condition. For each time window, a general analysis of variance with repeated measures (ANOVA) was calculated for words with canonical penultimate and canonical final stress separately over the factors foot structure (the two different foot structures per correct stress pattern; structure 1 and 2 are compared for words with canonical penultimate stress and structure 3 and 4 for words with canonical final stress) correctness (correct vs. incorrect) and region (frontal, central, parietal). Region is defined as a three-level factor with the values frontal (including F3, Fz, F4), central (including C3, Cz, C4), and parietal (including P3, Pz, P4).
Table 3
| Stress condition | Structure | Violation type | Time-windows | |
|---|---|---|---|---|
| Negativity effect | Positivity effect | |||
| Correct penultimate stress | 1 | Antepenultimate stress | – | 350–600 ms |
| V(ˈVC)V | Final stress | 400–550 ms | 800–1150 ms | |
| 2 | Antepenultimate stress | – | 350–600 ms | |
| (VC)(ˈVC)V | Final stress | 400–550 ms | 800–1150 ms | |
| Correct final stress | 3 | Antepenultimate stress | – | 300–650 ms |
| (V.V)(ˈVVC) | Penultimate stress | 400–480 ms | 550–850 ms | |
| 4 | Antepenultimate stress | – | 300–650 ms | |
| V(VC)(ˈVVC) | Penultimate stress | 400–480 ms | 550–850 ms | |
Time-windows for statistical analyses.
For each word type, the correct conditions with two different foot structures are compared to each incorrect condition. Time windows are given for negativity and positivity effects.
Results
(a) Behavioral Data
In the analyses of accuracy scores, the aim was to investigate whether specific conditions were more error-prone than others. A repeated measures ANOVA of arcus-sinus transformed accuracy scores was calculated over the factors foot structure (two different structures) and stress position (antepenult, penult, and final stress) for the two sets of words with either canonical penultimate or final stress, and pairwise t-tests comparing correct with incorrect stress and both incorrect conditions per word set. Figure 3 depicts the mean accuracy scores for all conditions.
Figure 3

Mean accuracy in percent for each word type and condition.
Generally, speakers of Cairene Arabic are accurate with their judgments for more than 80% in each condition. This finding suggests that they are in principle sensitive to the presented stress manipulations. However, the accuracy for all conditions differs slightly, and as is illustrated in Figure 3, the mean accuracy for conditions with incorrect antepenultimate stress is lower compared to other conditions. Repeated measures ANOVAs and paired t-tests are calculated for words with canonical penultimate and final stress separately (see Table 4).
Table 4
| Analysis | Results | |
|---|---|---|
| ANOVA FOR WORDS WITH CANONICAL PENULTIMATE STRESS | ||
| Foot structure | F(1, 19) = 5.45; p < 0.04*; pes.223 | |
| Stress position | F(2, 38) = 7.59; p < 0.005**: pes.285 | |
| Interaction of foot structure × stress position | F(2, 38) = 8.06; p < 0.004**; pes.298 | |
| PAIRWISE t-TESTS | ||
| Word type 1 V(ˈVC)V | Correct vs. antepenultimate stress | t(19) = −0.25; p > 0.80 |
| Correct vs. final stress | t(19) = −2.26; p < 0.04 | |
| Antepenultimate vs. final stress | t(19) = −3.56; p < 0.003** | |
| Word type 2 (VC)(ˈVC)V | Correct vs. antepenultimate stress | t(19) = −1.79; p > 0.08 |
| Correct vs. final stress | t(19) = −2.38; p < 0.03 | |
| Antepenultimate vs. final stress | t(19) = −7.78; p < 0.001*** | |
| ANOVA FOR WORDS WITH CANONICAL FINAL STRESS | ||
| Foot structure | F(1, 19) < 1 | |
| Stress position | F(2, 38) = 5.36; p < 0.02*; pes = 0.22 | |
| Interaction of foot structure × stress position | F(2, 38) = 6.72; p < 0.004**; pes = 0.261 | |
| PAIRWISE t-TESTS | ||
| Word type 3 (V.V)(ˈV:C) | Correct vs. antepenultimate stress | t(19) = −1.96; p > 0.06 |
| Correct vs. penultimate stress | t(19) = 1.02; p > 0.32 | |
| Antepenultimate vs. penultimate stress | t(19) = −5.14; p < 0.001*** | |
| Word type 4 V(VC)(ˈV:C) | Correct vs. antepenultimate stress | t(19) = −2.53; p < 0.02 |
| Correct vs. penultimate stress | t(19) = −0.95; p > 0.35 | |
| Antepenultimate vs. penultimate stress | t(19) = −2.89; p < 0.01 | |
Statistical analyses of behavioral data.
Repeated measures ANOVA for the two sets of words with canonical penultimate and final stress separately over the factors foot structure and stress position as well as pairwise t-tests for comparisons of correct with each of the two incorrect stress conditions and of both incorrect conditions. According to Bonferroni correction, the level of significance for paired t-tests is below 0.008. Significant results are indicated by < * >. Effect sizes are given by partial Eta-squared values (pes).
Analyses for words with correct penultimate stress yield a main effect for the factors foot structure and stress position as well as an interaction of both factors. Post-hoc t-tests comparing mean accuracies of the correct condition with each incorrect condition and of both incorrect conditions revealed a significant difference between two incorrect conditions. This holds for both word types with canonical penultimate stress.
Analyses for words with correct final stress yield a main effect for the factor stress position and an interaction of the factors foot structure and stress position. Post-hoc t-tests revealed a significant difference between mean accuracy for incorrect antepenultimate stress and incorrect penultimate stress in words of the structure (V.V)(V:C) but not in words of the structure V(VC)(V:C). Overall, the analyses suggest that conditions with incorrect antepenultimate stress are more error-prone than correct conditions and other incorrect stress conditions. This could be interpreted as an uncertainty toward words containing incorrect antepenultimate stress. Note that accuracies for correct words with antepenultimate stressed (filler condition) scored high with 98% correct responses.
(b) ERP Data
For the analyses of mean voltage changes induced by stress manipulations, we calculated for each set of words with either canonical penultimate or final stress whether each of the two incorrect conditions differ significantly from the correct condition and whether the foot structure influences the processing of incorrectly stressed words. Figure 4 shows the grand averages at midline electrodes for the four word types. Generally, we observed positivity effects for stress deviations involving antepenultimate stress and a biphasic ERP pattern for violations with penultimate or final stress. As noted in Section Data Acquisition and Analyses, effects for violations with antepenultimate stress occur in earlier time-windows compared to effects for violations with penultimate or final stress. Therefore, mean voltage changes for the processing of separate stress deviations were analyzed in different time windows. Appendix provides an overview of statistical analyses. In the following, the results are presented for each set of words with either penultimate or final stress separately.
Figure 4

Grand Averages of event-related potentials (ERPs) measured at midline electrodes for words with canonical penultimate stress with Structure 1 (a) and 2 (b) and canonical final stress with Structure 3 (c) and Structure 4 (d). Correct conditions (solid lines) are plotted against the incorrect conditions with antepenultimate stress (dashed lines) and with penultimate/final stress (dotted lines). The light gray bars indicate time-windows for positivity effects evoked by words with incorrect antepenultimate stress and the darker gray bars for positivity effects evoked by words with incorrect penultimate and final stress.
Words with canonical penultimate stress. Violations with antepenultimate stress (dashed line in Figures 4A,B) produced a positivity effect between 350 and 600 ms in the two word types with canonical penultimate stress. A main effect for the factors correctness and region and an interaction for foot structure × correctness × region occurred. Post-hoc analyses confirm significant differences between correct and incorrect antepenultimate stress in each region and for each structure (see Table A2A).
Violations with final stress in words with canonical penultimate stress (dotted line in Figures 4A,B) evoked a biphasic ERP pattern consisting of a negativity effect between 400 and 550 ms and a positivity effect between 800 and 1150 ms. For the negativity, repeated measures ANOVAs revealed a main effect for the factors correctness and region and an interaction for region × foot structure for which post-hoc analyses exhibited no significant structure effects in the three regions (see Table A2B). For the positivity effect, a main effect for the factors correctness and region and a three-way interaction was obtained. Post-hoc analyses show that mean voltages differ significantly between correct and final stress in parietal region for words of the structure V(VC)V, and in centro-parietal region for words of the structure (VC)(VC)V (see Table A2C).
Words with canonical final stress. For violations with antepenultimate stress (dashed lines in Figures 4C,D), positivity effects occurred between 300 and 650 ms in both word types with canonical final stress. Repeated measures ANOVAs over the factors foot structure, correctness and region revealed a main effect for the factor correctness and an interaction for correctness × region and correctness × foot structure. Post-hoc analyses showed a difference between correct final stress and incorrect antepenultimate stress in each region and each foot structure (see Table A2D).
Violations with penultimate stress (dotted lines in Figures 4C,D) led to a negativity effect between 400 and 480 ms and to a positivity effect between 550 and 850 ms only in the context of word type 3 with the structure (V.V)(V:C), but not for word type 4 with a strong penultimate syllable V(VC)(V:C). For the negativity effect, a main effect for all three factors but no interaction was found (see Table A2E), and for the positivity a main effect for the factors correctness and region and an interaction between correctness × region as well as correctness × foot structure. Post-hoc analyses suggest that an overall effect of correctness is restricted to frontal regions only and that a difference between correct and incorrect penultimate stress occurs only for words of the structure (V.V) (V:C) (see Table A2F).
Figure 5 depicts mean amplitudes of respective peaks of positivity effects for correct and incorrect conditions measured at parietal electrodes (P3, Pz, P4). Except for incorrect penultimate stress in words with the structure 4 (V.(VC)(V:C); circled in Figure 5), the amplitude of positivity effects is significantly more pronounced in incorrect compared to correct conditions.
Figure 5

Mean amplitudes and standard errors in microvolt for positivity effects of correct and incorrect conditions measured at parietal electrodes. The label pu1 denotes conditions of word type 1, pu2 conditions of word type 2, u1 conditions of word type 3 and u2 conditions of word type 4. The circle indicates the conditions for which the comparison was not significant.
Discussion
The current study aims at investigating whether speakers of Cairene Arabic are (like speakers of Turkish) partly insensitive to stress manipulations because stress in Cairene Arabic is predictable (as hypothesized in the Stress-“Deafness” account, i.e., Dupoux et al.,
In our ERP study utilizing a stress violation paradigm, violations of words with correct penultimate stress produced a positivity effect or a biphasic effect irrespective of prosodic structure: violations with antepenultimate stress evoked a positivity between 350 and 600 ms and violations with final stress a negativity between 400 and 550 ms and a positivity between 800 and 1150 ms. In contrast, for words with correct final stress asymmetrical results for different word structures are found: violations with antepenultimate stress evoked a positivity effect between 300 and 650 ms in both word types 3 and 4 and violations with penultimate stress a negativity between 400 and 480 ms, but a positivity only in word type 3 with the structure (V.V)(V:C) (between 550 and 850 ms).
We interpret the occurrence of positivity effects in different time-windows to reflect a task-related process that has been shown to reflect how easy it is for participants to decide how to classify a stress violation. We interpret these positivity effects as instances of the P3b family (Picton,
Generally, the findings of the experiment reported in Section ERP Experiment on Cairene Arabic show that stress deviations in Cairene Arabic words produce brain responses reflecting the participants' sensitivity to most violations. Their brain responses are similar to those obtained in previous experiments on German and Turkish. In the following, the results for specific word structures will be discussed in comparison to previous results.
Are speakers of Cairene Arabic insensitive to stress manipulations?
In Section Previous ERP Studies on Word Stress Processing, results reported for speakers of Turkish showed that Turkish participants had difficulties judging incorrect stress patterns if the default stress pattern was applied to words with lexical stress, while violations of words with canonical default stress produced enhanced positivity effects (Domahs et al.,
In words with the structure 4 [V(VC)(V:C); e.g., ki.(rís)(ˈta:l)] with canonical final stress in Cairene Arabic, a lack of a positivity effect occurs for incorrect penultimate stress. We argue that the absence of a positivity cannot be explained by the factor predictability in the sense that penultimate stress is the default stress. In words like ki.(rís)(ˈta:l) final stress is the only predicted stress pattern. The most reasonable explanation is related to the metrical structure of phonological words in Cairene Arabic as discussed in the following section.
The role of the metrical structure in stress processing
Related to the findings on German word stress processing (as summarized in Section Previous ERP Studies on Word Stress Processing), the second question was to test whether word stress processing in Cairene Arabic is guided by the internal foot structure of phonological words. In Table 5, the structures of correct forms are compared with those of incorrect forms.
Table 5
| Canonical Structure | Structure violation | Restructuring of feet | Occurrence of P3 |
|---|---|---|---|
| 1 V(ˈVC)V | *(ˈV)(VC)V | Yes | Yes |
| *V(VC)(ˈV) | Yes | Yes | |
| 2 (VC)(ˈVC)V | *(ˈVC)(VC)V | No | Yes |
| *(VC)(VC)(ˈV) | Yes | Yes | |
| 3 (V.V)(ˈVVC) | *(ˈV.V)(VVC) | No | Yes |
| *V(ˈV)(VVC) | Yes | Yes | |
| 4 V(VC)(ˈVVC) | *(ˈV)(VC)(VVC) | Yes | Yes |
| *V(ˈVC)(VVC) | No | No |
Overview of metrical structures in correctly and incorrectly stressed forms and the occurrence of P3 effects as reflections of task-specific evaluation-to-expectation processes.
In Table 5 it can be seen that in words exhibiting more than one foot (structures 2–4) violations occur that do not involve restructuring of feet, i.e., neither regrouping of syllables into feet nor creating feet from unparsed syllables. The results from the experiment on German (Domahs et al.,
The question arises whether the effect patterns found in the study on Cairene Arabic can be interpreted along the same lines as the results found for German. We suggest that structure plays a role in Cairene Arabic stress processing when certain conditions are met: first the structure is maintained and second the incorrect stress pattern involved is a likely pattern in terms of frequency. Thus, we hypothesize that metrical structure is not the only factor influencing stress perception, but also the frequency asymmetries between different stress patterns. To strengthen this hypothesis we report the results of a frequency count on stress patterns in loan words.
An analysis of stress patterns in loan words in Cairene Arabic by El Shanawany (
Taken together, the occurrence or absence of P3 effects in Cairene Arabic seems to be guided by the metrical structure and by the frequency distribution of the different stress positions, i.e., whether a certain pattern is exceptional or not. Therefore, we suggest that the participants' performance and sensitivity to word stress violations lie in between those observed for Turkish and German participants. Comparable to Turkish, exceptional stress patterns evoke a P3 effect when used incorrectly, and comparable to German, metrical structure plays a role. In contrast to Turkish, Cairene Arabic exhibits no default pattern, and in contrast to German word stress shows a stronger orientation toward the right edge of words.
Negativity effect: error-detection mechanism or violation of lexical expectancy?
In Section Results, it was reported that violations involving penultimate and final stress evoked a biphasic ERP pattern. The discussion so far has mainly focused on the interpretation of the positivity effect. As regards the negativity effect in similar experiments, different interpretations have been proposed in the literature. In the study on German word stress processing (Domahs et al.,
In the study on Turkish word stress processing (Domahs et al.,
For Cairene Arabic, in contrast, it is not very likely that the negativity effects reflect deviations from lexical expectations. There are no indications that stress positions need to be lexically specified in Cairene Arabic. Furthermore, the components occur earlier than in the Turkish experiment (between 400 and 480 ms or 400–550 ms instead of 500–750 ms in Turkish). In previous studies on metrical processing (e.g., Koelsch et al.,
Conclusion
The present behavioral and electrophysiological results on stress perception in Cairene Arabic show that speakers of this language are sensitive to stress information because they perform accurately in a stress evaluation task and produce ERP components indicating their ability to evaluate and categorize the likeliness of a certain stress pattern. Thus, psycholinguistic accounts of stress perception like the Stress “Deafness” account (i.e., Dupoux et al.,
Rather, our data support linguistic theories proposed for the Cairene Arabic word stress system as outlined in Section Metrical Properties of Cairene Arabic. In particular it was shown that prosodic structure, and metrical feet in particular, determines stress perception. This was evident for the processing of incorrect penultimate stress evoking a late positivity effect only if a light penult was stressed, but not when it was heavy. However, this structure effects cannot be generalized to incorrect antepenultimate stress which was easily categorized as unlikely irrespective of weight and its position within feet. To account for this result, it has been suggested that the frequency of stress patterns influences the processing of word stress in Cairene Arabic as a second factor. This hypothesis is supported by a corpus analysis of loan words. Effects of stress perception in Cairene Arabic lie therefore in between those obtained for German and Turkish.
Together with previous findings on stress perception in German and Turkish the present data complement the results by Dupoux, Peperkamp and colleagues that stress sensitivity is a function of predictability of stress. Our results suggest that the metrical structure in foot-based systems (i.e., German, Cairene Arabic), the lexical status of stress patterns in languages with default and lexical (exceptional) stress (i.e., Turkish), and the frequency of certain patterns also influences stress perception.
Conflict of interest statement
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Statements
Acknowledgments
The research presented here was funded by the German Science Foundation grant WI853/7-2 to Richard Wiese and Ulrike Domahs. We are grateful to the participants from Cairo, Egypt, and to Karen Bohn and Janine Kleinhans for their help in collecting the data. Last but not least we would like to thank the reviewers for their valuable comments.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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Appendix
Table A1

List of critical items.
Appendix 2: overview over statistical results
Generalized repeated measures ANOVAs of mean voltage changes over the factors Foot Structure (the two structures per canonical stress pattern), Correctness (correct vs. incorrect stress condition) and Region (frontal, central, parietal electrodes) and post-hoc analyses of interactions with Bonferroni correction. Effect sizes are given in generalized eta-squared values (ges). Tables A2A–A2F provide summaries for separate comparisons of correct and incorrect conditions. U is the abbreviation for final stress, PU for penultimate stress and APU for antepenultimate stress. 1 and 2 refers to different foot structures.
Table A2
| (A) PU1/PU2 correct vs. incorrect APU stress/positivity in time-window 350 to 600 ms | |||||
|---|---|---|---|---|---|
| PU1: CV(CVC)CV | |||||
| PU2: (CVC)(CVC)CV | |||||
| DFn | DFd | F | p | ges | |
| Main effects | |||||
| Region | 2 | 38 | 6.273 | 0.004 | 0.033 |
| Correctness | 1 | 19 | 23.785 | 0.000 | 0.195 |
| Foot structure | 1 | 19 | 0.113 | 0.740 | 0.001 |
| Interactions | |||||
| Region:Correctness | 2 | 38 | 5.596 | 0.007 | 0.005 |
| Region:Foot structure | 2 | 38 | 0.332 | 0.720 | 0.000 |
| Correctness:Foot structure | 1 | 19 | 0.090 | 0.768 | 0.000 |
| Region:Correctness:Foot structure | 2 | 38 | 5.737 | 0.007 | 0.005 |
| Post-Hoc Analyses (p-Values Bonferroni-Corrected) | |||||
| Region:Correctness | |||||
| Frontal | 1 | 19 | 28.27 | 0.000 | 0.286 |
| Central | 1 | 19 | 26.08 | 0.000 | 0.288 |
| Parietal | 1 | 19 | 13.02 | 0.006 | 0.288 |
| Region:Correctness:Foot structure | |||||
| Foot Structure 1 frontal | 1 | 19 | 39.04 | 0.000 | 0.327 |
| Foot Structure 1 central | 1 | 19 | 18.26 | 0.001 | 0.18 |
| Foot Structure 1 parietal | 1 | 19 | 8.003 | 0.032 | 0.074 |
| Foot Structure 2 frontal | 1 | 19 | 10.58 | 0.013 | 0.158 |
| Foot Structure 2 central | 1 | 19 | 23.01 | 0.000 | 0.33 |
| Foot Structure 2 parietal | 1 | 19 | 12.2 | 0.007 | 0.197 |
| (B) PU1/PU2 correct vs. incorrect U stress/negativity in time-window 400 to 550 ms | |||||
| PU1: CV(CVC)CV | |||||
| PU2: (CVC)(CVC)CV | |||||
| DFn | DFd | F | p | ges | |
| Main effect | |||||
| Region | 2 | 38 | 6.540 | 0.004 | 0.040 |
| Correctness | 1 | 19 | 8.998 | 0.007 | 0.083 |
| Foot structure | 1 | 19 | 0.053 | 0.821 | 0.000 |
| Interactions | |||||
| Region:Correctness | 2 | 38 | 2.947 | 0.065 | 0.003 |
| Region:Foot structure | 2 | 38 | 5.072 | 0.011 | 0.007 |
| Correctness:Foot structure | 1 | 19 | 3.895 | 0.063 | 0.018 |
| Region:Correctness:Foot structure | 2 | 38 | 0.482 | 0.621 | 0.000 |
| Post-Hoc Analyses (p-Values Bonferroni-Corrected) | |||||
| Region:Foot structure | |||||
| Frontal | 1 | 19 | 2.066 | 0.501 | 0.023 |
| Central | 1 | 19 | <1 | 0 | |
| Partietal | 1 | 19 | <1 | 0.006 | |
| (C) PU1/PU2 correct vs. incorrect U stress/positivity in time-window 800 to 1150 ms | |||||
| PU1: CV(CVC)CV | |||||
| PU2: (CVC)(CVC)CV | |||||
| DFn | DFd | F | p | ges | |
| Main effects | |||||
| Region | 2 | 38 | 27.595 | 0.000 | 0.167 |
| Correctness | 1 | 19 | 9.265 | 0.007 | 0.043 |
| Foot structure | 1 | 19 | 0.169 | 0.686 | 0.001 |
| Interactions | |||||
| Region:Correctness | 2 | 38 | 35.409 | 0.000 | 0.031 |
| Region:Foot structure | 2 | 38 | 4.527 | 0.017 | 0.003 |
| Correctness:Foot structure | 1 | 19 | 3.057 | 0.097 | 0.012 |
| Region:Correctness:Foot structure | 2 | 38 | 7.326 | 0.002 | 0.004 |
| Post-Hoc Analyses (p-Values Bonferroni-Corrected) | |||||
| Region:Correctness:Word structure | |||||
| Foot Structure 1 frontal | 1 | 19 | 3.47 | 0.234 | 0.05 |
| Foot Structure 1 central | 1 | 19 | 3.724 | 0.206 | 0.037 |
| Foot Structure 1 parietal | 1 | 19 | 15.4 | 0.003 | 0.136 |
| Foot Structure 2 frontal | 1 | 19 | 3.063 | 0.289 | 0.029 |
| Foot Structure 2 central | 1 | 19 | 12.3 | 0.007 | 0.092 |
| Foot Structure 2 parietal | 1 | 19 | 18.1 | 0.001 | 0.135 |
| (D) U1/U2 correct vs. incorrect APU stress/positivity in time-window 300 to 650 ms | |||||
| U1: (CV.CV)(CVVC) | |||||
| U2: CV(CVC)(CVVC) | |||||
| DFn | DFd | F | p | ges | |
| Main effects | |||||
| Region | 2 | 38 | 2.618 | 0.086 | 0.013 |
| Correctness | 1 | 19 | 70.228 | 0.000 | 0.270 |
| Foot structure | 1 | 19 | 0.955 | 0.341 | 0.004 |
| Interactions | |||||
| Region:Correctness | 2 | 38 | 7.630 | 0.002 | 0.007 |
| Region:Foot structure | 2 | 38 | 2.048 | 0.143 | 0.002 |
| Correctness:Structure | 1 | 19 | 4.480 | 0.048 | 0.012 |
| Region:Correctnes:Foot structure | 2 | 38 | 0.140 | 0.870 | 0.000 |
| Post-Hoc Analyses (p-Values Bonferroni-Corrected) | |||||
| Region:Correctness | |||||
| Frontal | 1 | 19 | 59.07 | 0.000 | 0.359 |
| Central | 1 | 19 | 79 | 0.000 | 0.368 |
| Parietal | 1 | 19 | 45.26 | 0.000 | 0.205 |
| Correctness:Foot Structure | |||||
| Foot Structure 1 | 1 | 19 | 74.58 | 0.000 | 0.465 |
| Foot Structure 2 | 1 | 19 | 27.41 | 0.000 | 0.182 |
| (E) U1/U2 correct vs. incorrect APU stress/negativity in time-window 400 to 480 ms | |||||
| U1: (CV.CV)(CVVC) | |||||
| U2: CV(CVC)(CVVC) | |||||
| Main effects | DFn | DFd | F | p | ges |
| Region | 2 | 38 | 8.026 | 0.001 | 0.034 |
| Correctness | 1 | 19 | 6.957 | 0.016 | 0.060 |
| Foot structure | 1 | 19 | 5.002 | 0.038 | 0.013 |
| (E) U1/U2 correct vs. incorrect APU stress/negativity in time-window 400 to 480 ms | |||||
| U1: (CV.CV)(CVVC) | |||||
| U2: CV(CVC)(CVVC) | |||||
| Interactions | |||||
| Region:Correctness | 2 | 38 | 0.479 | 0.623 | 0.001 |
| Region:Foot structure | 2 | 38 | 0.048 | 0.953 | 0.000 |
| Correctness:Foot structure | 1 | 19 | 2.082 | 0.165 | 0.006 |
| Region:Correctness:Foot structure | 2 | 38 | 1.192 | 0.315 | 0.000 |
| (F) U1/U2 correct vs. incorrect PU stress/positivity in time-window 550 to 850 ms | |||||
| U1: (CV.CV)(CVVC) | |||||
| U2: CV(CVC)(CVVC) | |||||
| DFn | DFd | F | p | ges | |
| Main effects | |||||
| Region | 2 | 38 | 4.073 | 0.025 | 0.027 |
| Correctness | 1 | 19 | 4.552 | 0.046 | 0.041 |
| Foot structure | 1 | 19 | 0.094 | 0.763 | 0.000 |
| Interactions | |||||
| Region:Correctness | 2 | 38 | 4.250 | 0.022 | 0.005 |
| Region:Foot structure | 2 | 38 | 2.567 | 0.090 | 0.003 |
| Correctness:Foot structure | 1 | 19 | 7.909 | 0.011 | 0.011 |
| Region:Correctness:Foot structure | 2 | 38 | 2.749 | 0.077 | 0.001 |
| Post-Hoc Analyses (p-Values Bonferroni-Corrected) | |||||
| Region:Correctness | |||||
| Frontal | 1 | 19 | 6.423 | 0.061 | 0.107 |
| Central | 1 | 19 | 4.325 | 0.154 | 0.05 |
| Parietal | 1 | 19 | 1.673 | 0.634 | 0.012 |
| Correctness:Word structure | |||||
| Foot Structure 1 | 1 | 19 | 8.73 | 0.016 | 0.112 |
| Foot Structure 2 | 1 | 19 | 1.031 | 0.645 | 0.012 |
Conditions and material.
Summary
Keywords
metrical structure, word stress perception, Cairene Arabic, Turkish, German, P300 effect, predictability
Citation
Domahs U, Knaus JA, El Shanawany H and Wiese R (2014) The role of predictability and structure in word stress processing: an ERP study on Cairene Arabic and a cross-linguistic comparison. Front. Psychol. 5:1151. doi: 10.3389/fpsyg.2014.01151
Received
03 February 2014
Accepted
23 September 2014
Published
21 October 2014
Volume
5 - 2014
Edited by
Hubert Truckenbrodt, Centre for General Linguistics (ZAS), Germany
Reviewed by
Pia Knoeferle, Bielefeld University, Germany; Marie Lallier, Basque Center on Cognition Brain and Language, Spain; Gerrit Kentner, Goethe-Universität Frankfurt, Germany
Copyright
© 2014 Domahs, Knaus, El Shanawany and Wiese.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Ulrike Domahs, Institut für Deutsche Sprache und Literatur, University of Cologne, Gronewaldstraße 2, 50931 Cologne, Germany e-mail: udomahs@uni-koeln.de
This article was submitted to Language Sciences, a section of the journal Frontiers in Psychology.
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