mlsanityData to 7 Oct 2026

IPA-CHILDES & G2P+: Feature-Rich Resources for Cross-Lingual Phonology and Phonemic Language Modeling

arXiv 2504.03036 ↗First posted 3 Apr 2025cs.CLcited by 6

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Abstract (arXiv)

In this paper, we introduce two resources: (i) G2P+, a tool for converting orthographic datasets to a consistent phonemic representation; and (ii) IPA CHILDES, a phonemic dataset of child-centered speech across 31 languages. Prior tools for grapheme-to-phoneme conversion result in phonemic vocabularies that are inconsistent with established phonemic inventories, an issue which G2P+ addresses by leveraging the inventories in the Phoible database. Using this tool, we augment CHILDES with phonemic transcriptions to produce IPA CHILDES. This new resource fills several gaps in existing phonemic datasets, which often lack multilingual coverage, spontaneous speech, and a focus on child-directed language. We demonstrate the utility of this dataset for phonological research by training phoneme language models on 11 languages and probing them for distinctive features, finding that the distributional properties of phonemes are sufficient to learn major class and place features cross-lingually.

Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). Builds on 34 of its 92 references that are in the map. First posted on arXiv 3 Apr 2025.

Builds on

34 of 92 references.

References · 34

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22 more
  1. 2022ByT5 model for massively multilingual grapheme-to-phoneme conversioncited by 49
  2. 2024Findings of the Second BabyLM Challenge: Sample-Efficient Pretraining on Developmentally Plausible Corporacited by 48
  3. 2021The Zero Resource Speech Challenge 2021: Spoken language modellingcited by 47
  4. 2023Analyzing Cognitive Plausibility of Subword Tokenizationcited by 30
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Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 2; 2026: 4.

6 papers.

  1. 2025BabyBabelLM: A Multilingual Benchmark of Developmentally Plausible Training Datacited by 9
  2. 2025BabyLM's First Words: Word Segmentation as a Phonological Probing Taskcited by 2
  3. 2026Evaluating Bias in Phoneme-Based Automatic Speech Recognition Systems: An Analysis of IPA Transcription Modelscited by 0
  4. 2026One Form to Transfer Them All: Pretraining Multilingual Language Models Beyond Native Orthographycited by 0
  5. 2026A retrospective analysis on the use of LLMs to study infant syntax learningcited by 0
  6. 2026Cross-Linguistic Effects in Bilingual Phoneme BabyLMscited by 0