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A Language-agnostic Model of Child Language Acquisition

What it is about

The authors port Abend et al.'s semantic-bootstrapping learner from English to Hebrew. The learner sees one child-directed utterance at a time, paired with a logical form, and learns a CCG lexicon with EM over Dirichlet-process counts. The Hebrew data are from the CHILDES Hagar corpus (3,295 utterances), converted from UD annotation. The English Adam corpus (5,320 utterances) is the control. The learner gets word order right in both languages: SVO is favoured in both, faster and more clearly in English. Word meanings are right for the top 50 words in both (100%), while syntactic category agrees for 76% in English and 46% in Hebrew. With two distractor logical forms, Hebrew fails to settle on SVO. The gap is explained by richer morphology (more unseen word forms), and by copula-less Hebrew sentences: 73.9% of Hagar utterances are under three words, against 15.2% in Adam.

Ideas

For Mova

I1 is a measure in 7. Syntax and in world. I2 is a learning-order rule for world. I3 goes into 7. Syntax (copula-less predication) and Nouns, adjectives, pronouns and numerals for the nominal clause.

Cite

The paper itself, not this card. BibTeX from the library's record of the work. arXiv 2408.12254

@misc{mahon2024language,
  title = {{A Language-agnostic Model of Child Language Acquisition}},
  author = {Mahon, Louis and Abend, Omri and Berger, Uri and Demuth, Katherine and Johnson, Mark and Steedman, Mark},
  year = {2024},
  eprint = {2408.12254},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2408.12254}
}

References

23 references, 2 of them with a card of ours. ↗ leads to the work, «find» searches for one we have no id for yet.

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