skip to main content
US FlagAn official website of the United States government
dot gov icon
Official websites use .gov
A .gov website belongs to an official government organization in the United States.
https lock icon
Secure .gov websites use HTTPS
A lock ( lock ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.


This content will become publicly available on March 10, 2026

Title: The antipassive and verbal projections
Abstract This paper presents and analyzes antipassive constructions in the Mayan language Kaqchikel. Through various syntactic tests, we show that antipassive constructions differ from both active transitive and Agent Focus structures in that they do not syntactically project a DP-sized object. Thus, we should think of antipassives as a type of unergative. When an object seems to disappear or become less important in an antipassive, this is not a special feature of antipassives – it is simply what happens in any intransitive structure. In other words, the ‘suppression’ or ‘demotion’ of thematic object is not an inherent characteristic of the construction but rather a byproduct of its intransitive nature. To better understand how transitive and intransitive constructions function cross-linguistically, we propose a novel framework for categorizing the functional heads v and Voice. We show that the external argument behaves differently in transitive versus intransitive clauses, appearing in different structural positions, which is backed up by evidence from causatives in Kaqchikel and scope patterns in other languages. While transitive and passive structures include a Voice projection, Agent Focus and antipassive structures do not. We compare our analysis to previous work on antipassives and explore what our findings might mean for understanding antipassives in other languages.  more » « less
Award ID(s):
2116344
PAR ID:
10584209
Author(s) / Creator(s):
;
Publisher / Repository:
Cambridge University Press
Date Published:
Journal Name:
Journal of linguistics
ISSN:
0022-2267
Page Range / eLocation ID:
1 to 34
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
More Like this
  1. Bonial, Claire; Bonn, Julia; Hwang, Jena D (Ed.)
    We evaluate the ability of large language models (LLMs) to provide PropBank semantic role label annotations across different realizations of the same verbs in transitive, intransitive, and middle voice constructions. In order to assess the meta-linguistic capabilities of LLMs as well as their ability to glean such capabilities through in-context learning, we evaluate the models in a zero-shot setting, in a setting where it is given three examples of another verb used in transitive, intransitive, and middle voice constructions, and finally in a setting where it is given the examples as well as the correct sense and roleset information. We find that zero-shot knowledge of PropBank annotation is almost nonexistent. The largest model evaluated, GPT-4, achieves the best performance in the setting where it is given both examples and the correct roleset in the prompt, demonstrating that larger models can ascertain some meta-linguistic capabilities through in-context learning. However, even in this setting, which is simpler than the task of a human in PropBank annotation, the model achieves only 48% accuracy in marking numbered arguments correctly. To ensure transparency and reproducibility, we publicly release our dataset and model responses. 
    more » « less
  2. null (Ed.)
    We investigate how Multilingual BERT (mBERT) encodes grammar by examining how the high-order grammatical feature of morphosyntactic alignment (how different languages define what counts as a “subject”) is manifested across the embedding spaces of different languages. To understand if and how morphosyntactic alignment affects contextual embedding spaces, we train classifiers to recover the subjecthood of mBERT embeddings in transitive sentences (which do not contain overt information about morphosyntactic alignment) and then evaluate them zero-shot on intransitive sentences (where subjecthood classification depends on alignment), within and across languages. We find that the resulting classifier distributions reflect the morphosyntactic alignment of their training languages. Our results demonstrate that mBERT representations are influenced by high-level grammatical features that are not manifested in any one input sentence, and that this is robust across languages. Further examining the characteristics that our classifiers rely on, we find that features such as passive voice, animacy and case strongly correlate with classification decisions, suggesting that mBERT does not encode subjecthood purely syntactically, but that subjecthood embedding is continuous and dependent on semantic and discourse factors, as is proposed in much of the functional linguistics literature. Together, these results provide insight into how grammatical features manifest in contextual embedding spaces, at a level of abstraction not covered by previous work. 
    more » « less
  3. This paper investigates the homophony/polysemy between a morphological agentive marker and a contrastive focus marker in Sümi, a Tibeto-Burman language of Northeast India. Both are realized by a phrasal suffix -no that attaches to grammatical subjects, but the interpretation of the suffix varies by clause type. The present study examines whether transitive and intransitive subjects in contrastive focus receive any special prosodic marking that is recognizable to native listeners. The study has implications for understanding the development of agentive/focus marking in Sümi, as well as other languages of the Himalayas, and in New Guinea and Australia where similar homophony/polysemy between agentive and focus markers has been found. 
    more » « less
  4. The transitive closure of a graph is a new graph where every vertex is directly connected to all vertices to which it had a path in the original graph. Transitive closures are useful for reachability and relationship querying. Finding the transitive closure can be computationally expensive and requires a large memory footprint as the output is typically larger than the input. Some of the original research on transitive closures assumed that graphs were dense and used dense adjacency matrices. We have since learned that many real-world networks are extremely sparse, and the existing methods do not scale. In this work, we introduce a new algorithm called Anti-section Transitive Closure (ATC) for finding the transitive closure of a graph. We present a new parallel edges operation – anti-sections – for finding new edges to reachable vertices. ATC scales to massively multithreaded systems such as NVIDIA’s GPU with tens of thousands of threads. We show that the anti-section operation shares some traits with the triangle counting intersection operation in graph analysis. Lastly, we view the transitive closure problem as a dynamic graph problem requiring edge insertions. By doing this, our memory footprint is smaller. We also show a method for creating the batches in parallel using two different techniques: dual-round and hash. Using these techniques and the Hornet dynamic graph data structure, we show our new algorithm on an NVIDIA Titan V GPU. We compare with other packages such as NetworkX, SEI-GBTL, SuiteSparse, and cuSparse. 
    more » « less
  5. Asking questions is a fundamental aspect of human nature. Languages all around the world encode interrogative constructions. It is therefore incumbent upon semanticists to capture the meaning of questions. However, achieving this goal faces a challenge under a truth conditional approach to meaning, since questions cannot easily be assigned a truth value. Moreover, it is not sufficient to focus only on the questions themselves; one must also determine what counts as a felicitous and informative answer, and how this relates to a speaker's intention in posing a question in a discourse context. How then do semanticists approach an investigation of questions? In this article, we present the core issues inherent to question‐answer dynamics, review the main approaches to question‐answer meaning, highlight how questions are situated in a discourse context, and explore extensions of questions that highlight the connection between semantics, pragmatics, and human reasoning. 
    more » « less