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PERSPECTIVE article

Front. Lang. Sci., 12 September 2025

Sec. Language Processing

Volume 4 - 2025 | https://doi.org/10.3389/flang.2025.1662944

This article is part of the Research TopicBeyond Agreement: Theoretical and Experimental Approaches to Syntactic Feature Manipulation in Real TimeView all 4 articles

Agreement features in the nominal domain as classifiers: theoretical and experimental perspectives

  • Department of Languages and Literatures, Communication, Education and Society (DILL), University of Udine, Udine, Italy

Number and gender features are often assumed to differ in agreement processing, yet psycholinguistic evidence does not consistently support this distinction. This paper examines optional agreement in complex NPs (e.g., Italian Un centinaio di senatori si è dimesso / si sono dimessi, “A hundred senators has/have resigned”), where verbs may agree with either the singular head noun or the plural embedded noun. We argue that number and gender operate similarly as feature bundles, functioning like nominal classifiers. Crosslinguistic data show that optional agreement arises from nominal class valuation rather than from inherent gender/number differences. Psycholinguistic experiments further reveal that speakers' choices reflect structural prominence and processing ease, rather than morphological categorical distinctions. Our analysis unifies gender and number within a classifier-based framework, challenging traditional divisions and offering a streamlined account of agreement variability.

1 Introduction: theoretical perspectives on optional agreement in complex NP

The phenomenon of optional agreement in complex noun phrases (NPs) in (1) where verbs may alternatively agree with either the singular head noun or the plural embedded noun—has been analyzed.

(1) Un centinaioi di senatorik    si sono dimessik/ è dimessoi

A hundred of senators     cl.refl are resigned.pl/ is resigned.sg

“A hundred senators have resigned.”    Italian

The verbal agreement can target either the numeral item/quantifier or the noun embedded under the preposition di (of) that bears a θ role interpretation and the agreement operation involves both number (2) and gender (3) features.

Number Agreement

(2) Una dozzinai di tifosik    hannok/hai cercato di aggredirmi

a dozen  of fans     have/has tried of attack.inf.cl.1sg

“A dozen fans tried to attack me”    Italian

Gender + Number Agreement

(3) 30 axuz-im   me-ha-maskoret holxim /holexet le-sxardira.

30 percent-m.pl of-def-salary.f.sg go.m.pl /goes.f.sg to-rent

“30% of the salary goes to (paying the) rent.”    Hebrew (Danon, 2013)

Optional agreement with embedded NPs represents a rich area of syntactic investigation, we will focus on two recent analyses which involve distinct but complementary theoretical frameworks: the work by Lorusso and Franco (2017) and Manzini and Franco (2019). While both approaches adopt a minimalist, probe-goal agreement system following Chomsky's (2001) feature valuation framework, they differ fundamentally in their theoretical emphasis and analytical focus, offering complementary perspectives on this syntactic variation that have significantly advanced our understanding of agreement phenomena.

Lorusso and Franco (2017) present a primarily syntactic account that emphasizes crosslinguistic variation in agreement patterns through a parametric approach. Their framework identifies three clear typological groups among languages:

• Head-only agreement languages (e.g., French, German), where agreement is strictly with the head noun:

(4) Une meute de loups a/*ont attaqué la ferme.

a. pack of wolves.m.pl has/*have attacked the farm

“A pack of wolves has attacked the farm.” French

(5) Ein Rudel Wölfe hat/*haben einen Bauernhof angegriffen.

a.n pack wolves has/have a farm attacked

“A pack of wolves has attacked a farm.” German

In these languages, the prepositional phrase (PP) acts as a strong phase barrier, completely blocking agreement relations with the embedded NP.

• Embedded-only agreement languages (e.g., Sardinian, Occitan), where agreement must target the embedded noun:

(6) Unu muntoni de pippius *est/funt andaus a iscola.

a.m lot of children.m.pl *is/are gone.m.pl to school

“A lot of children have gone to school.” Sardinian

(7) Una ardada de lops *ataquèt/ataquèron la bòria.

a.f pack of wolves *attacked.3sg/attacked.3pl the farm

“A pack of wolves attacked the farm.” Occitan

Here the PP is syntactically transparent, forcing agreement with the θ-marked NP.

• Optional agreement languages (e.g., Italian, Spanish), where both agreement patterns are grammatical:

(8) Un centinaio di senatori   è/sono dimesso/i.

a.m hundred of senators.m.pl is/are resigned.m.sg/m.pl

“A hundred senators have resigned.”

(9) Una parte dei ragazzi   arriverà/arriveranno tardi.

a.f part of.the.m.pl boys will.arrive.3sg/will.arrive.3pl late

“Some of the boys will arrive late.”

Lorusso and Franco analyse this variation through a parametric approach building on Rezac (2008)'s Case Opacity Constraint, proposing that languages differ in whether they treat PPs as opaque phases for agreement relations.

In contrast, Manzini and Franco (2019) develop a more abstract syntactic theory centered on labeling operations within the Minimalist Program (Chomsky, 2000, 2001). Their framework explains intra-linguistic optionality through a unified labeling algorithm where agreement paths depend on whether the PP projects a syntactic label and we have singular agreement with the head nouns un centinaio (10) or the P fails to label its projection, allowing the embedded NP (senatori) to control agreement (11): the Agreement of Structural Obliques Parameter (ASOP).

(10) [DP [QP un centinaio] [PP di [NP senatori]]] ha votato

[DP [QP a hundred] [PP of [NP senators]]] has voted

“A hundred senators have voted.”

(11) [DP [NP un [NP sacco [PP di [NP senatori]]]] hanno votato

[DP [NP a [NP hundred [PP of [NP senators]]]] have voted

“A hundred senators have voted.”

The key theoretical differences between these approaches are significant:

• While Lorusso and Franco emphasize parametric variation tied to PP phasehood across languages, Manzini and Franco focus on labeling-driven optionality within individual grammars.

• Lorusso and Franco's account is more descriptively oriented, while Manzini and Franco's model is more abstract and theoretically unified.

However, both frameworks crucially converge on analyzing number and gender alike rather than distinct grammatical categories. This represents an important theoretical unification, dissolving the traditional dichotomy between “syntactic” number features and “lexical” gender features. In summary, while Lorusso and Franco's parameter-based account provides robust predictions for crosslinguistic variation, Manzini and Franco's labeling model offers a more principled explanation for intra-linguistic optionality. Together, these frameworks advance our understanding of agreement variation by revealing how different syntactic configurations/parameters can license alternative agreement relations while maintaining a unified grammatical architecture. Their complementary perspectives demonstrate how the same core phenomena can be insightfully analyzed through both comparative parametric and abstract derivational approaches within modern syntactic theory. But are these accounts compatible with psycholinguistic data and grammatical feature hierarchy? Do gender and number work alike in this respect? While in Section 2 we will review some psycholinguistic data about how optional number agreement with embedded NPs is parsed, in Section 3 we will see how gender features are processed. Section 4 will be devoted to discussion on the main proposal of this paper, the fact that number and gender work alike, namely as classifiers. The classifier analogy will be supported by parallels with Bantu noun class systems (Franco et al., 2015), where similar agreement alternations occur based on the classificatory properties of nominal morphology.

2 Number agreement with complex NPS

The processing of number features in complex noun phrases (NPs) presents a unique window into how the human language faculty resolves syntactic and semantic conflicts during real-time comprehension. When speakers encounter phrases like una dozzina di tifosi (“a dozen fans”) in (2), they must rapidly compute agreement relations between the verb and either the singular head noun (dozzina) or the plural embedded noun (tifosi). This computation engages multiple cognitive systems, including syntactic feature-checking, semantic integration, and working memory resources, as evidenced by behavioral and neurocognitive studies. The variability in agreement patterns across languages—from strictly head-oriented (e.g., French, German) to flexible (e.g., Italian, Spanish)—further reveals how the grammatical system prioritizes structural vs. notional features during processing.

A central debate in psycholinguistics concerns whether number agreement is primarily governed by syntactic hierarchy (i.e., the structural position of the controller) or by semantic notional plurality (i.e., the conceptual “plurality” of the referent), mediated by the semantics of the controller.

Foppolo et al. (2023) tested acceptability judgments with different head types (46 participants): container nouns like scatola “box,” collective nouns like corteo “procession,” quantifier/measure phrases like un centinaio “a hundred,” and singular and plural fillers. General preferences for singular agreement (i.e., agreement with the head) were observed, but differences in the acceptance of plural verb forms were crucial, as shown in Figure 1.

Figure 1
Box plot illustrating ratings for plural verbs across five categories: singular, container, collective, quantifier, and plural. Ratings range from one to seven, with medians increasing from singular to plural.

Figure 1. Acceptance rate for plural verbs with different head types from Foppolo et al. (2023, p. 12).

Foppolo et al. (2023) found that Italian speakers often prefer singular agreement (ha) with container nouns like scatola (“box”) in a sentence like the one in (12), as the head noun is syntactically dominant. However, plural agreement (hanno) becomes marginally acceptable when the focus shifts to the plurality of the individual chocolates (Foppolo et al., 2023). This suggests that while syntax initially constrains agreement, semantic factors can override it—particularly in languages like Italian, where number morphology is robust.

As for collective nouns, plural agreement is favored with embedded NPs, as they inherently denote multiplicity (13). Finally, group nouns (e.g., branco “pack”) prefer singular agreement, as they emphasize unity (14), though plural agreement is more tolerated than with container nouns.

(12) Una scatola   di cioccolatini ha/   ?hanno avvelenato la vittima.

(13) Un centinaio di senatori si sono dimessi/*?si è dimesso.

a hundred of senators have resigned/*?has resigned

(14) Un branco di lupi ha/??hanno attaccato la fattoria.

a pack of wolves has/??have attacked the farm

This divide aligns with the measure (quantifiers) vs. referent (containers) interpretation (Landman, 2004). In an eye-tracking experiment using the same stimuli, Foppolo et al. (2023) show that speakers process quantifier-headed NPs faster when verbs agree with the embedded plural noun, whereas container-headed NPs elicit quicker responses with singular agreement.

From a psycholinguistic perspective, the optional agreement found in Italian and Spanish requires maintaining both the head and the embedded NP in memory until disambiguation (De Vincenzi, 1999). This aligns with Faussart et al.'s (1999) finding that plural agreement increases reading times in French (where it is ungrammatical) but not in Spanish. In languages where agreement with the head noun is preferred, it reduces cognitive load, as the parser need not evaluate embedded NPs. Conversely, languages with mandatory embedded agreement simplify parsing by eliminating competition, though this may come into conflict with notional plurality (Lorusso and Franco, 2017). The next section is devoted to describing gender agreement in complex NPs.

3 The processing of gender agreement in complex NPs: insights from psycholinguistic and neurolinguistic studies

The processing of gender agreement mismatch in complex noun phrases (NPs) is found in configurations where the head noun and embedded noun differ in gender but not in number. Unlike number agreement, where plural marking often correlates with semantic plurality, grammatical gender is largely arbitrary in many languages, making its processing a purer test of syntactic vs. semantic influences on agreement resolution.

The examination of gender agreement in structures like Italian una parte del bottino è stata/è stato trafugato/a (“a part of the loot has been stolen.FEM/MASC”) reveals distinct patterns of cognitive processing that differ from number agreement in crucial ways. Grammatical gender, unlike number, often lacks transparent semantic motivation in Indo-European languages. In Italian, for example, the gender of inanimate nouns is lexically specified and must be retrieved from memory:

(15) Una parte (FEM)  del bottino (MASC)  è stata trafugata/ stato trafugata.

a.f part     of.the.m loot    is been.f stolen.f/ been.m stolen.

“A part of the loot has been stolen.”

This arbitrary assignment means that gender agreement cannot rely on conceptual cues in the same way number agreement can, making it a stronger test case for purely syntactic accounts of agreement processing. Psycholinguistic studies using acceptability judgments and forced-choice tasks reveal systematic asymmetries in gender agreement resolution:

• Head preference: speakers overwhelmingly prefer gender agreement with the head noun when possible (Mazzaggio et al., 2020). This preference is stronger than for number agreement, suggesting that gender is more tightly bound to syntactic structure.

• Default masculine: when agreement with the embedded noun occurs, masculine gender is more readily accepted than feminine, reflecting its status as the default gender in Italian (Harris, 1991), as in (16):

(16) Una folla (FEM) di turisti (MASC)   è arrivata / ?? sono arrivati.

a.f crowd of tourists.m      is arrived.f/ ?? are arrived.m

“A crowd of tourists has arrived.”

• Animacy effects: gender mismatches involving animate nouns (where biological sex could conceptually override grammatical gender) show more flexibility than inanimate pairs (Mazzaggio et al., 2020).

Crucially, Mazzaggio et al. (2020) found that once more, variation depends on the measure expressed by the head/controller. They found a preference for embedded agreement to be higher with nouns denoting a quantification (poco di = Eng. little of ) than with nouns denoting a container or other referential element (lago, montagna = Eng. literally lake, mountain, used in the sense of a lot). The items on the right of the scale in Figure 2 are prototypical examples of approximate quantifiers (e.g., poco di) and led participants to accept embedded agreement more than items on the left of the scale, which are prototypical examples of collective nouns (e.g., lago, montagna).

Figure 2
Bar chart displaying the mean values for various categories labeled with ”Embedded“ suffix. The x-axis lists category names like Massa, Partita, Montagna, and others. The y-axis represents the mean, ranging from zero to six. Error bars indicate variability, with values increasing from left to right, peaking at the categories ”Mucchio_Embedded“ and ”Sacco_Embedded.“

Figure 2. Sentence judgement task's mean scores for embedded agreement divided by the item in the head in Mazzaggio et al. (2020, p. 12).

To conclude this session, we can argue that characteristics of the controller and other semantic features intervene in the acceptability judgement for both number and gender, suggesting that they work alike in determining the preferred route of agreement in complex NPs. The next section is devoted to entertaining this hypothesis, which goes against the idea that number and gender are computed separately.

4 Discussion. Gender and number as nominal classifiers: a unified account of agreement variation

The study of morphosyntactic features such as person, number, and gender has long intrigued linguists and psycholinguists alike. In foundational work, Greenberg (1963) proposed a typological feature hierarchy: Person > Number > Gender. This implicational model, supported by cross-linguistic evidence from around 30 languages, suggested that the presence of a lower feature (like gender) in a language implies the presence of higher features (number and person). This hierarchy reflects not only typological generalizations but also points to a potential cognitive and processing hierarchy within the human linguistic system.

Within syntactic theory, particularly in Chomsky's (2000, 2001) minimalist framework, morphosyntactic features are conceptualized as bundled φ-features. These features, which include person, number, and gender, are not treated as separate units within syntactic computation. Instead, they form a single bundle that undergoes feature checking through the formal operation known as Agree. The Agree operation ensures that features are copied from a controller (goal) to a dependent (probe), as in subject-verb agreement.

However, while this theoretical unification implies that all φ-features are processed uniformly, psycholinguistic evidence has not fully aligned with this view [see Lorusso (2018) for a review]. Numerous experimental studies reveal nuanced differences in how these features are processed during real-time language comprehension. In particular, person is consistently found to have a distinct status both in syntax and processing, while number and gender yield more ambiguous results.

Research by Di Domenico and De Vincenzi (1995) and De Vincenzi (1999) using cross-modal priming in Italian found that number features facilitated processing more than gender. Participants showed significant priming when disambiguating pronouns based on number, but not on gender. Carminati (2005) further supported this in a self-paced reading task, where number cues were more effective than gender in resolving referential ambiguities. She formulated the Feature Strength Hypothesis—the idea that cognitively stronger features are more efficient at disambiguation. Theoretically, this aligns with models positing number as syntactically prominent, projecting independently, while gender is lexically encoded and thus accessed later.

However, ERP studies complicate this picture: electrophysiological research (Acuña-Fariña, 2009; Barber and Carreiras, 2005; Hagoort and Brown, 1999), using ERP measures such as LAN, N400, and P600, have not found strong distinctions between number and gender violations. Most studies report similar neural signatures for both across languages and agreement configurations. This convergence aligns with Chomsky's view: number and gender are part of a bundled feature set. Another option, inspired by the role of the semantics of the head of complex NPs (Sections 2 and 3) and following Manzini and Savoia (2005, 2011), is that both features stem from nominal class morphology. In Italian, for example, the morphological markers for number and gender are not uniquely associated with one meaning, and can vary depending on context and class. Italian inflectional endings (e.g., -o sing.masc., -a sing.fem., -i plur.masc., -e plur.fem.) do not neatly map onto gender or number. Inflectional classes and genders are not isomorphic (Franco et al., 2015) in Italian: nouns with different inflections –a and –o may belong to the same gender.

(17) Il        poet-a

themasc.sing    poet (masculine)

(18) La       man-o

thefem.sing    hand (femenine)

This syncretism resembles the noun class systems in Bantu languages. Thus, number and gender can be viewed as semantic markers within a broader inflectional paradigm rather than as independent cognitive primitives. Gender markers in Italian, in fact, are not completely meaningful; they work like mensural classifiers in Bantu languages. So while number can be seen as a nominal sortal classifier (Franco et al., 2015), gender identifies mensural classifiers akin to Bantu noun classes:

• Sortal classifiers (e.g., plural -i in Italian) individuate discrete entities, trigger embedded agreement, and favor plural agreement when introduced by a quantifier in complex NPs (Section 2, Foppolo et al., 2023).

• Mensural classifiers (e.g., singular -o/a) denote units vs. containers, favoring head agreement.

The fact that gender may represent different noun classes is confirmed by the data in (19), where the same nouns imply different semantic classes depending on the gender inflection. For example, the strategy in (19.c) is common in Italian to denote fruit trees (masculine) vs. fruit units (feminine).

(19) Masculine     Femenine

a.  il tavol-o     la tavol-a

Desk/table     table/board/chart

b.  il legn-o     la legn- a

wood (material)    firewood

c.  il mandorl-o     la mandorl-a

almond tree     almond fruit

Like gender markers in Indo-European languages, classifiers are grammatical elements that must agree with the noun. Several visual-world eye-tracking studies using arrays of pictured objects show that classifier-language speakers, upon hearing the classifier, quickly look at classifier-consistent referents (e.g., animals when presented with the animal classifiers in Mandarin; Huettig et al., 2010). This finding aligns with speakers of Indo-European languages, who show a preference for gender-consistent referents over gender-inconsistent ones as soon as the gender marker is heard (Dahan et al., 2000, among others).

Event-related potential (ERP) studies provide another route to identify a similarity between gender markers and classifier processing (Mueller et al., 2005). When the classifier mismatched a noun, it elicited N400s, suggesting that semantic information is relevant; but P600s were also found when classifier-noun mismatches were embedded in sentential contexts, as happens with gender (and number; Barber and Carreiras, 2005).

This perspective fundamentally challenges traditional grammatical distinctions by revealing the shared structural behavior and classificatory function of these features in agreement systems. The data demonstrate that what have been conventionally treated as distinct grammatical categories—with number considered “syntactic” and gender “lexical”—actually function in parallel ways when properly understood as elements of a nominal classification system. This is also confirmed by the effect on the optionality of gender and number preferred agreement with complex NPs, where the semantics of the head influence the general acceptance rate and the processing of agreement morphology.

Both gender and number participate in identical agreement mechanics. Optionality with complex NPs is allowed by the two possible configurations of the labeling algorithm described in the Agreement of Structural Obliques Parameter of Manzini and Franco (2019), determining which set of features projects and controls agreement. When the prepositional phrase projects as a phase, the head noun's classifiers dominate; when it doesn't, the embedded noun's classifiers become accessible. One or the other labeling mechanism is influenced by the noun class of the controller, and marginally by the embedded NP, in complex NPs. This identical treatment of gender and number within the syntax provides strong theoretical support for their unified analysis.

The consistency across different languages indicates that the unified classifier analysis reflects a fundamental property of how nominal features operate in natural language, rather than being an idiosyncratic property of any single grammatical system.

The classifier analogy thus offers significant explanatory advantages over traditional approaches that separate gender and number. It accounts for:

1. the identical structural behavior of both features in agreement alternations;

2. the parallel sensitivity to both hierarchical and interpretive influences;

3. the psycholinguistic evidence showing similar processing of gender and number violations and the role of the noun class of the controller in the processing of optional agreement with complex NPs.

By reconceptualizing both gender and number as nominal classification devices—differing in their specific semantic correlates but identical in their grammatical operation—we achieve a more parsimonious and empirically adequate account of agreement phenomena. This approach eliminates artificial distinctions while capturing the genuine systematicity of how nominal features govern syntactic relationships. Future research should explore how this unified perspective might extend to other domains of feature agreement and to a broader range of languages with richer nominal classification systems.

Data availability statement

The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author.

Ethics statement

Ethical approval was not required for the study involving humans in accordance with the local legislation and institutional requirements. Written informed consent to participate in this study was not required from the participants or the participants' legal guardians/next of kin in accordance with the national legislation and the institutional requirements.

Author contributions

PL: Conceptualization, Investigation, Resources, Validation, Visualization Writing – original draft, Writing – review & editing.

Funding

The author(s) declare that no financial support was received for the research and/or publication of this article.

Acknowledgments

I would like to express my gratitude to Rita Manzini, Leonardo Savoia, Ludovico Franco, e Francesca Foppolo for their inspiring world.

Conflict of interest

The author declares that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Generative AI statement

The author(s) declare that no Gen AI was used in the creation of this manuscript.

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Keywords: optional agreement, classifiers, nominal phrase, complex NPs, gender feature, number feature, feature bundles

Citation: Lorusso P (2025) Agreement features in the nominal domain as classifiers: theoretical and experimental perspectives. Front. Lang. Sci. 4:1662944. doi: 10.3389/flang.2025.1662944

Received: 09 July 2025; Accepted: 11 August 2025;
Published: 12 September 2025.

Edited by:

Arthur Stepanov, University of Nova Gorica, Slovenia

Reviewed by:

Greta Mazzaggio, University of Florence, Italy

Copyright © 2025 Lorusso. 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) and the copyright owner(s) 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: Paolo Lorusso, cGFvbG8ubG9ydXNzb0B1bml1ZC5pdA==

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.