1 |
Dependency locality as an explanatory principle for word order
|
|
|
|
In: Prof. Levy (2022)
|
|
BASE
|
|
Show details
|
|
2 |
A Systematic Assessment of Syntactic Generalization in Neural Language Models
|
|
|
|
In: Association for Computational Linguistics (2021)
|
|
BASE
|
|
Show details
|
|
3 |
Hierarchical Representation in Neural Language Models: Suppression and Recovery of Expectations
|
|
|
|
In: Association for Computational Linguistics (2021)
|
|
BASE
|
|
Show details
|
|
4 |
Cognitive Science Honors the Memory of Jeffrey Elman
|
|
|
|
In: MIT Press (2021)
|
|
BASE
|
|
Show details
|
|
5 |
SyntaxGym: An Online Platform for Targeted Evaluation of Language Models
|
|
|
|
In: Association for Computational Linguistics (2021)
|
|
BASE
|
|
Show details
|
|
6 |
Neural language models as psycholinguistic subjects: Representations of syntactic state
|
|
|
|
In: Association for Computational Linguistics (2021)
|
|
BASE
|
|
Show details
|
|
7 |
Structural Supervision Improves Learning of Non-Local Grammatical Dependencies
|
|
|
|
In: Association for Computational Linguistics (2021)
|
|
BASE
|
|
Show details
|
|
8 |
Maze Made Easy: Better and easier measurement of incremental processing difficulty
|
|
|
|
In: Other repository (2021)
|
|
BASE
|
|
Show details
|
|
9 |
Child-directed Listening: How Caregiver Inference Enables Children's Early Verbal Communication ...
|
|
|
|
Abstract:
How do adults understand children's speech? Children's productions over the course of language development often bear little resemblance to typical adult pronunciations, yet caregivers nonetheless reliably recover meaning from them. Here, we employ a suite of Bayesian models of spoken word recognition to understand how adults overcome the noisiness of child language, showing that communicative success between children and adults relies heavily on adult inferential processes. By evaluating competing models on phonetically-annotated corpora, we show that adults' recovered meanings are best predicted by prior expectations fitted specifically to the child language environment, rather than to typical adult-adult language. After quantifying the contribution of this "child-directed listening" over developmental time, we discuss the consequences for theories of language acquisition, as well as the implications for commonly-used methods for assessing children's linguistic proficiency. ... : 13 pages, 3 figures, 2 tables. Edit #1 fixes formatting on table 1 (fitting it onto a single page) and reports correct contents for table 1 (previous version reported ants, not bits) ...
|
|
Keyword:
Computation and Language cs.CL; FOS Computer and information sciences
|
|
URL: https://dx.doi.org/10.48550/arxiv.2102.03462 https://arxiv.org/abs/2102.03462
|
|
BASE
|
|
Hide details
|
|
10 |
Child-directed Listening: How Caregiver Inference Enables Children's Early Verbal Communication.
|
|
|
|
BASE
|
|
Show details
|
|
11 |
Do domain-general executive resources play a role in linguistic prediction? Re-evaluation of the evidence and a path forward
|
|
|
|
In: Prof. Fedorenko (2021)
|
|
BASE
|
|
Show details
|
|
12 |
Pronoun interpretation in Mandarin Chinese follows principles of Bayesian inference
|
|
|
|
In: PLoS (2021)
|
|
BASE
|
|
Show details
|
|
13 |
Assessing Language Proficiency from Eye Movements in Reading
|
|
|
|
In: Association for Computational Linguistics (2021)
|
|
BASE
|
|
Show details
|
|
14 |
Implicit Gender Bias in Linguistic Descriptions for Expected Events: The Cases of the 2016 United States and 2017 United Kingdom Elections
|
|
|
|
In: Sage (2021)
|
|
BASE
|
|
Show details
|
|
15 |
Language Learning and Processing in People and Machines
|
|
|
|
In: Association for Computational Linguistics (2021)
|
|
BASE
|
|
Show details
|
|
16 |
Lossy‐Context Surprisal: An Information‐Theoretic Model of Memory Effects in Sentence Processing
|
|
|
|
In: Wiley (2021)
|
|
BASE
|
|
Show details
|
|
17 |
A Targeted Assessment of Incremental Processing in Neural LanguageModels and Humans ...
|
|
|
|
BASE
|
|
Show details
|
|
18 |
A Rate–Distortion view of human pragmatic reasoning
|
|
|
|
In: Proceedings of the Society for Computation in Linguistics (2021)
|
|
BASE
|
|
Show details
|
|
20 |
Implicit Gender Bias in Linguistic Descriptions for Expected Events: The Cases of the 2016 United States and 2017 United Kingdom Elections ...
|
|
|
|
BASE
|
|
Show details
|
|
|
|