Morphosyntactic Analysis for CHILDES

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F25%3APPFAV2ZX" target="_blank" >RIV/00216208:11320/25:PPFAV2ZX - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.48550/arXiv.2407.12389" target="_blank" >http://dx.doi.org/10.48550/arXiv.2407.12389</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.48550/arXiv.2407.12389" target="_blank" >10.48550/arXiv.2407.12389</a>

Result language

angličtina

Original language name

Morphosyntactic Analysis for CHILDES

Original language description

Language development researchers are interested in comparing the process of language learning across languages. Unfortunately, it has been difficult to construct a consistent quantitative framework for such comparisons. However, recent advances in AI (Artificial Intelligence) and ML (Machine Learning) are providing new methods for ASR (automatic speech recognition) and NLP (natural language processing) that can be brought to bear on this problem. Using the Batchalign2 program (Liu et al., 2023), we have been transcribing and linking data for the CHILDES database and have applied the UD (Universal Dependencies) framework to provide a consistent and comparable morphosyntactic analysis for 27 languages. These new resources open possibilities for deeper crosslinguistic study of language learning.

Czech name

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Czech description

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Type

J_ost - Miscellaneous article in a specialist periodical

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

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Continuities

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Publication year

2024

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Language Development Research

ISSN

2771-7976

e-ISSN

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Volume of the periodical

2

Issue of the periodical within the volume

1

Country of publishing house

US - UNITED STATES

Number of pages

22

Pages from-to

1-22

UT code for WoS article

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EID of the result in the Scopus database

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