Syntactic Constraints Research Articles

On relative word length and transposed-word effects.

It is harder to decide that a sequence of words is ungrammatical when the ungrammaticality is created by transposing two words in a correct sentence (e.g., he wants green these apples), and it is harder to judge that two ungrammatical word sequences are different when the difference is created by transposing two words (e.g., green want these he apples-green these want he apples). In two experiments, we manipulated the relative length of the transposed words such that these words were either the same length (e.g., then you see can it) or different lengths (e.g., then you create can it). The same-length and different-length conditions were matched for syntactic category and word frequency. In Experiment 1 (speeded grammatical decision) we found no evidence for a modulation of transposed-word effects as a function of the relative length of the transposed words. We surmised that this might be due to top-down constraints being the main driving force behind the effects found in the grammatical decision task. However, this was also the case in Experiment 2 (same-different matching with ungrammatical sequences of words) where syntactic constraints were minimized. Given that skilled readers can read sentences composed of words of the same length, our results confirm that word length information alone is not used to encode the order of words in a sequence of words, and especially concerning the order of adjacent words in foveal/parafoveal vision. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

That-trace effects in Najdi Arabic L2 learners of English

Abstract The current study is a partial replication of Kim and Goodall (2024), who tested competing predictions of two prominent accounts of that-trace effects, which are argued to emerge due to either syntactic constraints or considerations of the production system. To tease apart these possibilities, Kim and Goodall examine L2 sensitivity to that-trace effects, as the two accounts implicitly have different expectations regarding L2 performance. Their results showed a non-native pattern of acceptability judgments for Korean and Spanish learners of English, whose L1s do not display that-trace effects, which are argued to support a production-based account. The current study extends their experiment to Nadji Arabic L2 learners of English, whose L1 critically exhibits that-trace effects, allowing us to probe whether previous findings can be accounted for by processing difficulties or L1 background. Our results indicated that despite L2 learners’ native-like sensitivity at the group level, lower proficiency was associated with non-native-like subject extraction effects, in line with Kim and Goodall’s results. Overall, findings from an acceptability judgment task suggest that L2 sensitivity to that-trace effects does not involve transfer of a syntactic constraint, but is something that develops with proficiency, more in line with a production-based account.

Covariation in processing: grammar vs. context

In addition to referential uses, pronouns can have covarying interpretations, i.e., exhibit the behavior of a bound variable. The grammatical mechanism(s) behind such readings have been subject to longstanding debates: Some authors argue for a fairly flexible but unified semantic mechanism that is not tied closely to syntactic configurations. Others distinguish a core class of bona fidebinding with tight syntactic constraints from other mechanisms that give rise to ultimately parallel effects, but do so more indirectly. Psycholinguistic work has started to uncover the processing mechanisms involved in evaluating dependencies between covarying pronouns and (candidate) antecedents. Moulton and Han (2018) leverage the processing perspective to try to shed light on the theoretical question of what grammatical mechanism is at play for a given covarying pronoun. They argue that so-called Gender Mismatch Effects only arise for cases of bona fide binding, supporting the existence of distinct grammatical mechanisms. However, Kush and Eik (2019), looking at another construction involving the relevant other covariation mechanisms, do find Gender Mismatch Effects. These authors suggest that various contextual factors can make a covarying interpretation harder to obtain, and they propose adjustments to Moulton and Han’s stimuli that they think should lead to fast Gender Mismatch Effects even when no bona fide binding is involved. A series of self-paced reading experiments replicate the results from Moulton and Han, and then extend the paradigm to variations along the lines suggested by Kush and Eik. The adjustment of contextual factors indeed results in Gender Mismatch Effects for both environments. We discuss how the processing evidence informs the theoretical issues.  

Insertional code-switching as interactional resource in Mandarin–English bilingual conversation

Aims and Objectives: This study investigates the interactional relevance of insertional code-switching, that is, insertion of other-language words/phrases, in Mandarin–English bilingual conversation. It focuses on a next speaker’s (dis)alignment with an insertion in an adjacency pair and its import to the ongoing interaction. Methodology: This study adopts the framework of conversation analysis, which seeks to describe the underlying organization of talk-in-interaction. It features analyses warranted by techniques and signals in conversation that are demonstrably relevant to conversation participants. Data and Analysis: The data come from CallFriend Mandarin Corpus. Speakers are native speakers of Mandarin Chinese who resided in the United States at the time of recording. First, all instances of insertional code-switching were extracted with the extended context, filtering out those not occurring in an adjacency pair. Next, sequential analysis was conducted to examine the interactional import of a next speaker’s alignment and disalignment, respectively, when insertional code-switching occurs in an adjacency pair. Findings: This study discovers that a next speaker’s alignment with an insertion is sequentially preferred over disalignment. When different language choice over the same word occurs, speakers orient to it as problematic and then repair it, such that, alignment is achieved. Disalignment is used to claim the current speaker’s more authoritative status in the matter concerned. Originality: A large bulk of literature on insertional code-switching has focused on its syntactic constraints and semantic conditions; its interactional functions in bilingual conversation have not received as much attention. This study reveals that insertional code-switching works as an extra resource for bilingual speakers to achieve interactional alignment. Significance: This study challenges the view that insertional code-switching is not sequentially implicative by showing that it does place sequential constraints on the next speaker. It further argues that such sequential implicativeness can be exploited to establish finely calibrated alignment and index epistemic status.

Neural Networks as Cognitive Models of the Processing of Syntactic Constraints.

Languages are governed by syntactic constraints-structural rules that determine which sentences are grammatical in the language. In English, one such constraint is subject-verb agreement, which dictates that the number of a verb must match the number of its corresponding subject: "the dogs run", but "the dog runs". While this constraint appears to be simple, in practice speakers make agreement errors, particularly when a noun phrase near the verb differs in number from the subject (for example, a speaker might produce the ungrammatical sentence "the key to the cabinets are rusty"). This phenomenon, referred to as agreement attraction, is sensitive to a wide range of properties of the sentence; no single existing model is able to generate predictions for the wide variety of materials studied in the human experimental literature. We explore the viability of neural network language models-broad-coverage systems trained to predict the next word in a corpus-as a framework for addressing this limitation. We analyze the agreement errors made by Long Short-Term Memory (LSTM) networks and compare them to those of humans. The models successfully simulate certain results, such as the so-called number asymmetry and the difference between attraction strength in grammatical and ungrammatical sentences, but failed to simulate others, such as the effect of syntactic distance or notional (conceptual) number. We further evaluate networks trained with explicit syntactic supervision, and find that this form of supervision does not always lead to more human-like syntactic behavior. Finally, we show that the corpus used to train a network significantly affects the pattern of agreement errors produced by the network, and discuss the strengths and limitations of neural networks as a tool for understanding human syntactic processing.

Semantic accessibility and interference in pronoun resolution

The general view in syntactic literature is that binding constraints can make antecedents syntactically inaccessible. However, several studies showed that antecedents which are ruled out by syntactic binding constraints still influence online processing of anaphora in some stages, suggesting that a cue-based retrieval mechanism plays a role during anaphora resolution. As in the syntactic literature, in semantic accounts like Discourse Representation Theory (DRT), formal constraints are formulated in terms of accessibility of the antecedent. We explore the discourse inaccessibility postulated in DRT by looking at its role in pronoun resolution of inter-sentential anaphoric relations in four off-line and two eye-tracking experiments. The results of the eye-tracking experiments suggest that accessibility has an effect on pronoun resolution from early on. The study quantifies evidence of inaccessible antecedents affecting pronoun resolution and shows that almost all evidence points to the conclusion that discourse-inaccessible antecedents are ruled out for pronoun resolution in processing. The only potential counter-example to this claim is also detected, but remains only as anecdotal evidence even after combining data from both eye-tracking studies. The findings in the study show that accessibility plays a significant role in the processing of pronoun resolution in a way which is potentially challenging for the cue-based retrieval mechanism. The paper argues that discourse accessibility can help expand the theories of retrieval beyond the syntactic and sentence-level domain and provides a window into the study of interference in discourse.

On the syntax and semantics of sluicing in Mandarin Chinese

Abstract This article investigates the syntax of sluicing in Mandarin Chinese, including the syntactic constraints on predicates that might appear in sluicing, the reclassification of wh-phrases, the syntactic status of shi ‘be’ and you ‘have,’ and the syntactic derivation of typical sluicing and pseudo-sluicing. This article argues that there are both pseudo-sluicing and typical sluicing in Chinese, with each involving different structures and derivations and requiring different analysis.

A Review on Semantic and Syntactic Constraints of VV Reduplication in Mandarin Chinese: Retrospections and Development

A Review on Semantic and Syntactic Constraints of VV Reduplication in Mandarin Chinese: Retrospections and Development

The interpretation of overt subject pronominals in Turkish

This study explores the interpretation of co-indexation between overt subject pronominals, specifically o and kendisi, with quantified/wh-word antecedents among native Turkish speakers. The research employs a task designed to elicit responses that either force a bound or disjoint interpretation within biased contexts. The findings reveal that o and kendisi are not interchangeable within the same context. A closer examination unveils that the interpretation of o is governed by certain syntactic constraints, although target-deviant interpretations are observed. In contrast, kendisi is more likely to be interpreted as a bound pronoun, even though both bound and disjoint interpretations are syntactically accessible. This shows that the constraint governing the binding of overt subject pronominals to quantified/wh-word antecedents, known as the Overt Pronoun Constraint, is operative for o but not for kendisi. The distinction in the behavior of these pronominals can be attributed to the diffrences in their syntactic configurations: o is costly configured than kendisi, hence displaying asymmetry across quantified/wh-word antecedents. Since the binding relations of kendisi is similar to pro, it is more prone to binding by the matrix subject.

Dependency-based BERT for Chinese Event Argument Extraction

Existing event extraction methods independently identify and classify each argument role separately, ignoring the interdependence between different parameter roles. Further, these methods rely on simple vectors to represent word embeddings. By embedding explicit syntactic constraints in the attention mechanism, we address these shortcomings by using dependency syntax to guide the text modeling. Specifically, we use dependency syntax to guide the BERT model for Chinese event argument role extraction, which mainly consists of three stages. First, the self-attention method guided by a dependency syntactic parsing tree is embedded in the Transformer computing framework of the BERT model. In addition to obtaining a deep two-way linguistic representation of a word according to its context information, this method also expresses the long-distance syntactic dependency relationships between words based on context information. Secondly, the designed conditional layer normalization method is applied to the event argument extraction model in order to integrate the semantic information of trigger words into the text, thereby improving the accuracy of the argument role extraction. Lastly, conditional random fields (CRFs) are used to determine the optimal sequence of labels at the sentence level based on the dependence relationships between adjacent labels. According to the experimental results, the constructed model outperforms several strong baselines in the Chinese event argument extraction task on the ACE2005 dataset and the iFLYTEKA.I.2020 dataset.

L’alternance entre le sujet nul et pronominal en roumain dans une perspective romane

This article focuses on the differences in the comprehension and the production of null and pronominal subjects in Romanian. It shows the importance of an empirical approach (experiments and corpus investigation) for the study of syntactic alternations, such us the null pronominal subject alternation in prodrop Romance languages, which cannot be described by the classical categorical syntactic constraints (cf. grammatical vs. agrammatical dychotomy), but rather by soft constraints, that reflect the preferences of the speakers for one structure or the other. This research allows us to observe (micro)variations within prodrop Romance languages. It also shows that an adequate analysis of such an alternation should be based on a multifactorial analysis, that takes into account factors from various linguistic levels (in particular syntax and discourse).

Back to the format: A survey on SOS for probabilistic processes

In probabilistic process algebras the classic qualitative description of process behaviour is enriched with quantitative information on it, usually modelled in terms of probabilistic weights and/or distributions over the qualitative behaviour. In this setting, we use behavioural equivalences to check whether two processes show exactly the same behaviour, and, if this is not the case, we can use behavioural metrics to measure the distance between them. Compositional reasoning requires that equivalence, or closeness, of behaviour of two processes are not destroyed when language operators are applied on top of them in order to build larger processes. Formally, the equivalence must be a congruence, and the metric must be uniformly continuous, with respect to language operators. Instead of verifying these compositional properties by hand, operator-by-operator, it is much more convenient to prove them for a class of operators once for all, and to check that the operators one is dealing with are in that class. This is achieved by means of SOS specification formats: they consist in a set of syntactical constraints characterising a class of operators on the patterns of SOS rules, that define the operational semantics of languages. With this survey, we aim to collect and describe the specification formats that have been proposed in the literature to guarantee the compositional properties of (variants of) bisimulation equivalences and bisimulation metrics in the probabilistic setting.

Graph Convolutional Network with Interactive Memory Fusion for Aspect-based Sentiment Analysis

Aspect-based sentiment analysis (ABSA) aims to predict the sentiment polarity of a specified aspect in a sentence. Graph neural networks (GNN) based on dependency trees have been shown to be effective for ABSA by explicitly modeling the connection between aspect and opinion terms and exploiting local semantic and syntactic information in the sentence. However, most previous works have overlooked the use of global dependency information. In this paper, we propose a novel Graph Convolutional Network (GCN) with an Interactive Memory Fusion (IMF) mechanism (IMF-GCN) that incorporates both global and local structural information for aspect-based sentiment classification. The IMF mechanism efficiently fuses global and local structural dependency information by assigning different weights to global and local dependency modules. Syntactic constraints are also imposed to prevent the graph convolution propagation unrelated to the target words, further improving the model’s performance. The evaluation metrics used in the paper are accuracy and macro-average F1 scores, and the proposed approach achieves optimal results on three datasets with F1 scores of 79.60%, 82.19%, and 77.75%, which outperform the baseline model.

The discourse functions of grammatical constructions explain an enduring syntactic puzzle

Each grammatical construction serves a function, such as conveying that part an utterance is at-issue or is backgrounded. When multiple constructions combine to produce an utterance, their functions must be compatible. This preregistered study (N = 680) addresses the enigmatic case of “syntactic island constraints”: Long-distance dependency constructions (LDDs) do not combine equally well with all base constructions. While widely presumed to require unlearned syntactic constraints, we test the idea that it is infelicitous to make an element both prominent (via an LDD construction) and backgrounded (via the base construction). Using 10 base constructions of English (144 base stimuli), results confirm two independent measures of backgroundedness strongly correlate with acceptability ratings on each of three LDD constructions. Results indicate that “island” constraints arise from a clash between the functions of the constructions being combined.

WASP—A Web Application to Support Syntactically and Semantically Correct SNOMED CT Postcoordination

Expressive clinical terminologies are of utmost importance for achieving a semantically interoperable data exchange and reuse in healthcare. SNOMED CT, widely respected as the most comprehensive terminology in medicine, provides formal concept definitions based on description logic which not only allows for advanced querying of SNOMED-CT-coded data but also for flexibly augmenting its 350,000 concepts by allowing a controlled combination of these. This ability for postcoordination largely increases the expressivity of the terminology but correlates with an intrinsic complexity. Complicated by the current lack of tooling support, postcoordination is widely either ignored or applied in an error-prone way. To help facilitate the adoption of postcoordination, we implemented a web application that guides users through the creation of postcoordinated expressions (PCEs) while ensuring adherence to syntactic and semantic constraints. Our approach was largely facilitated by making use of the extensive SNOMED CT specifications as well as advanced HL7 FHIR Terminology Services. Qualitative evaluations confirmed the usability of the developed application and the correctness of the PCEs created with it.

The Tigrinya zɨ- prefix

Abstract Head-final languages are not expected to display verbal prefixes. However, in Tigrinya—a consistent SOV Ethio-Semitic language—the “relative marker” is a prefix that precedes the subordinate verb. Taking an antisymmetric and LCA approach to head-finality, I challenge the idea that what have been traditionally called prefixes in head-final languages have an intrinsic “prefixal morphological property”. Instead, I argue that prefixes are elements that are subject to specific syntactic constraints that result in them appearing in front of verbs. I therefore propose a new syntactic analysis of relative clauses in Tigrinya that explains not only the appearance of the prefix zɨ- on the left of the subordinate verb, but also its occurrence on both the verb and the auxiliary in periphrastic verbal forms expressing progressive aspect: I suggest that zɨ- is a marker of successive-cyclic movement.

Same or different? Subject realization in the majority and the heritage language of Polish-German bilingual children

Abstract The paper examines the extent to which bilingual children select lexical noun phrases and null and overt pronouns as referring expressions in their majority language German and their heritage language Polish. Both languages are similar regarding the availability of lexical noun phrases but differ in terms of the distribution of null and overt pronominal forms. Our focus lies on discourse contexts with a subject antecedent in the preceding clause, which require only light processing for both speaker and hearer due to the high accessibility of the intended subject referent. Drawing on experimental data from a picture story retelling task (MAIN) to investigate the distribution of referring expressions in the two languages compared to age-matched monolingual control groups, our results reveal that bilingual children are sensitive to crosslinguistic differences in the syntactic and discourse-pragmatic constraints that regulate the distribution of null and overt subjects in Polish and German, depending on the mode of speech (narrative or dialogic). Furthermore, there are no significant differences between the bilingual and monolingual children, irrespective of language and age group. Thus, our study cannot confirm findings of previous studies concerning the tendency of bilingual children to be either overspecific or underspecific in subject reference production.

Pragmatic and syntactic constraints on French causal connectives: An evaluation of native and non-native speakers’ sensitivity

When writing a text, the choice between seemingly equivalent connectives, such as but and however, is not arbitrary: aside from preferences linked to the register or modality of the utterance, there are often pragmatic or syntactic constraints that limit the choice to only one particular connective. For French, theoretical approaches have extensively discussed the syntactic and pragmatic constraints that allow only either parce que (‘because’) or puisque (‘since’). However, experimental findings regarding the actual sensitivity of French speakers to these constraints remain inconclusive. In the current study, we examine the sensitivity of different speaker groups to the constraints associated with the use of parce que and puisque. In a controlled offline-task, we systematically evaluate the sensitivity of a crowd-sourced heterogeneous group of native speakers (Experiment 1) and a group of non-native speakers (Experiment 2). Results show that native speakers are more sensitive to syntactic constraints whereas pragmatic constraints are more equivocal. Non-native speakers, however, are not sensitive to either of these constraints. In addition, the pragmatically complex connective puisque is extremely problematic for non-native speakers, as even the mapping of a seemingly equivalent connective of their L1 did not warrant a good mastery of its pragmatic functions.

Named Entity Recognition Networks Based on Syntactically Constrained Attention

The task of named entity recognition can be transformed into a machine reading comprehension task by associating the query and its context, which contains entity information, with the encoding layer. In this process, the model learns a priori knowledge about the entity, from the query, to achieve good results. However, as the length of the context and query increases, the model struggles with an increasing number of less relevant words, which can distract it from the task. Although attention mechanisms can help the model understand contextual semantic relations, without explicit constraint information, attention may be allocated to less task-relevant words, leading to a bias in the model’s understanding of the context. To address this problem, we propose a new model, the syntactic constraint-based dual-context aggregation network, which uses syntactic information to guide query and context modeling. By incorporating syntactic constraint information into the attention mechanism, the model can better determine the relevance of each word in the context of the task, and selectively focus on the relevant parts of the context. This enhances the model’s ability to read and understand the context, ultimately improving its performance in named entity recognition tasks. Extensive experiments on three datasets, ACE2004, ACE2005, and GENIA, show that this method achieves superior performance when compared to previous methods.

Multiple constraints modulate the processing of Chinese reflexives in discourse

This study investigates the real-time processing of Chinese reflexives ziji and ta-ziji in discourse when multiple constraints are involved. Our primary goal is to examine the time course of syntactic and non-syntactic constraints in reflexive resolution. The Syntactic Filter Hypothesis argues that syntactic cues are prioritized at the early stages of processing, in contrast to the Multiple Constraints Hypothesis which posits that at this stage all streams of information can be recruited. The results of two self-paced reading experiments show that in neutral contexts where no antecedent is discourse-prominent, syntactic locality and verb semantics immediately impact real-time processing of ziji and ta-ziji. Crucially, participants’ processing patterns are also influenced at an early stage by the discourse topical status of the non-local antecedents. Overall, these findings suggest that syntax, verb semantics, and discourse prominence all play important roles at an early stage.