English
Related papers

Related papers: CAIT: A Syntactic Parsing Toolkit for Child-Adult …

200 papers

We present a syntactic dependency treebank for naturalistic child and child-directed speech in English (MacWhinney, 2000). Our annotations largely followed the guidelines of the Universal Dependencies project (UD (Zeman et al., 2022)), with…

Computation and Language · Computer Science 2022-09-29 Zoey Liu , Emily Prud'hommeaux

CHILDES is a widely used resource of transcribed child and child-directed speech. This paper introduces UD-English-CHILDES, the first officially released Universal Dependencies (UD) treebank. It is derived from previously…

Computation and Language · Computer Science 2025-06-19 Xiulin Yang , Zhuoxuan Ju , Lanni Bu , Zoey Liu , Nathan Schneider

Child-directed speech (CDS) is a particular type of speech that adults use when addressing young children. Its properties also change as a function of extralinguistic factors, such as age of the child being addressed. Access to large…

Computation and Language · Computer Science 2024-05-14 Okko Räsänen , Daniil Kocharov

We describe a cross-lingual adaptation method based on syntactic parse trees obtained from the Universal Dependencies (UD), which are consistent across languages, to develop classifiers in low-resource languages. The idea of UD parsing is…

Computation and Language · Computer Science 2020-03-31 Nasrin Taghizadeh , Heshaam Faili

Syntactic parsing is a highly linguistic processing task whose parser requires training on treebanks from the expensive human annotation. As it is unlikely to obtain a treebank for every human language, in this work, we propose an effective…

Computation and Language · Computer Science 2021-04-26 Kailai Sun , Zuchao Li , Hai Zhao

The patterns in which the syntax of different languages converges and diverges are often used to inform work on cross-lingual transfer. Nevertheless, little empirical work has been done on quantifying the prevalence of different syntactic…

Computation and Language · Computer Science 2020-07-14 Dmitry Nikolaev , Ofir Arviv , Taelin Karidi , Neta Kenneth , Veronika Mitnik , Lilja Maria Saeboe , Omri Abend

We introduce quantitative metrics for child language acquisition to evaluate language models. Our focus is on the formal syntactic and functional discourse properties of determiners in English, which young children acquire early and…

Computation and Language · Computer Science 2026-05-28 Héctor Javier Vázquez Martínez , Charles Yang

Syntactic dependencies can be predicted with high accuracy, and are useful for both machine-learned and pattern-based information extraction tasks. However, their utility can be improved. These syntactic dependencies are designed to…

Computation and Language · Computer Science 2020-06-05 Aryeh Tiktinsky , Yoav Goldberg , Reut Tsarfaty

Seminal work by Huebner et al. (2021) showed that language models (LMs) trained on English Child-Directed Language (CDL) can reach similar syntactic abilities as LMs trained on much larger amounts of adult-directed written text, suggesting…

Computation and Language · Computer Science 2025-12-02 Francesca Padovani , Jaap Jumelet , Yevgen Matusevych , Arianna Bisazza

Children's acquisition of filler-gap dependencies has been argued by some to depend on innate grammatical knowledge, while others suggest that the distributional evidence available in child-directed speech suffices. Unfortunately, the…

Computation and Language · Computer Science 2026-05-29 Zhenghao Herbert Zhou , William Dai , Maya Viswanathan , Simon Charlow , R. Thomas McCoy , Robert Frank

Accurately quantifying children's social interaction behavior is part of understanding their cognitive and emotional development, as well as mental health conditions. Kids-SIT is a web-based tool designed to computationally analyze…

Human-Computer Interaction · Computer Science 2026-05-19 Rituja Pardhi , Matthias Norden , William Saakyan , Nadine Vietmeier , Simone Kirst , Isabel Dziobek , Julia Asbrand , Hanna Drimalla

While numerous attempts have been made to jointly parse syntax and semantics, high performance in one domain typically comes at the price of performance in the other. This trade-off contradicts the large body of research focusing on the…

Computation and Language · Computer Science 2021-04-13 Elias Stengel-Eskin , Kenton Murray , Sheng Zhang , Aaron Steven White , Benjamin Van Durme

Low-resource machine translation requires methods that differ from those used for high-resource languages. This paper proposes a novel in-context learning approach to support low-resource machine translation of the Coptic language to…

Computation and Language · Computer Science 2026-05-28 Abhishek Purushothama , Emma Thronson , Alexia Guo , Amir Zeldes

This work develops a probabilistic child language acquisition model to learn a range of linguistic phenonmena, most notably long-range syntactic dependencies of the sort found in object wh-questions, among other constructions. The model is…

Computation and Language · Computer Science 2025-03-18 Louis Mahon , Mark Johnson , Mark Steedman

Parsing (also called syntax analysis) techniques cover a substantial portion of any undergraduate Compiler Design course. We present ParseIT, a tool to help students understand the parsing techniques through question-answering. ParseIT…

Programming Languages · Computer Science 2017-02-03 Amey Karkare , Nimisha Agarwal

We examine the syntactic properties of BabyLM corpus, and age-groups within CHILDES. While we find that CHILDES does not exhibit strong syntactic differentiation by age, we show that the syntactic knowledge about the training data can be…

Computation and Language · Computer Science 2025-11-12 Arzu Burcu Güven , Anna Rogers , Rob van der Goot

This paper proposes a methodology for constructing such corpora of child directed speech (CDS) paired with sentential logical forms, and uses this method to create two such corpora, in English and Hebrew. The approach enforces a…

Computation and Language · Computer Science 2024-03-18 Ida Szubert , Omri Abend , Nathan Schneider , Samuel Gibbon , Louis Mahon , Sharon Goldwater , Mark Steedman

To acquire language, children need rich language input. However, many parents find it difficult to provide children with sufficient language input, which risks delaying their language development. To aid these parents, we design Captivate!,…

Human-Computer Interaction · Computer Science 2022-02-15 Taeahn Kwon , Minkyung Jeong , Eon-Suk Ko , Youngki Lee

Current syntactic theory limits the range of grammatical variation so severely that the logical problem of grammar learning is trivial. Yet, children exhibit characteristic stages in syntactic development at least through their sixth year.…

cmp-lg · Computer Science 2008-02-03 Robert Frank

We introduce the Treebank of Learner English (TLE), the first publicly available syntactic treebank for English as a Second Language (ESL). The TLE provides manually annotated POS tags and Universal Dependency (UD) trees for 5,124 sentences…

Computation and Language · Computer Science 2016-06-09 Yevgeni Berzak , Jessica Kenney , Carolyn Spadine , Jing Xian Wang , Lucia Lam , Keiko Sophie Mori , Sebastian Garza , Boris Katz
‹ Prev 1 2 3 10 Next ›