IPA-CHILDES & G2P+：面向跨语音系学与音位语言建模的高特征丰富度资源
IPA-CHILDES & G2P+: Feature-Rich Resources for Cross-Lingual Phonology and Phonemic Language Modeling
AI总结：
该研究推出G2P+音位转换工具和31语儿童语音音位数据集IPA CHILDES，填补现有数据集多语言、自发语、儿童导向语的空白，验证了音位分布特性可跨语言学习音系区别特征。
摘要：
本文介绍两类资源：（1）G2P+，一款将正字法数据集转换为统一音位表示的工具；（2）IPA CHILDES，涵盖31种语言的儿童导向语音的音位数据集。现有字素转音位工具生成的音位词表与已确立的音位库存不一致，G2P+通过利用Phoible数据库中的音位库存解决了这一问题。我们使用该工具为CHILDES补充音位转写，生成了IPA CHILDES。现有音位数据集通常缺乏多语言覆盖、自发语音内容以及对儿童导向语言的关注，这一新资源填补了其中的多项空白。我们通过在11种语言上训练音位语言模型并探测其区别特征，验证了该数据集在音系学研究中的实用性，发现音位的分布特性足以跨语言学习主要类别特征与发音部位特征。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
