专为儿童语言发展研究打造的语法分析工具，提升亲子对话句法解析准确率。
CAIT: A Syntactic Parsing Toolkit for Child-Adult InTeractions
- 基于标准语料库训练专用依存句法分析器，适配儿童语言特点。
- 在儿童-成人互动数据上表现优于SpaCy、Stanza等通用工具。
- 开源配套词性标注与句法结构标注工具，助力语言习得研究。
CHILDES是语言习得研究的重要资源，但其句法结构的计算分析工具仍较匮乏。借助最新发布的带有标准通用依存（UD）标注的UD-English-CHILDES语料库，我们训练了一个专为CHILDES优化的先进依存句法分析器，更准确地捕捉儿童-成人互动中的句法模式，性能超过广泛使用的通用英文分析器（如SpaCy和Stanza）。同时，我们发布了词性标注器和话语级句法结构标注器，共同构成开源的儿童-成人互动句法分析工具包CAIT。通过细致的错误分析及一项追踪语言发展过程中句法结构分布的案例研究，证明该工具包可支持大规模、可复现的语言习得研究。
原文摘要 · Abstract (English)
CHILDES is a paramount resource for language acquisition studies -- yet computational tools for analyzing its syntactic structure remain limited. Leveraging the recent release of the UD-English-CHILDES treebank with gold-standard Universal Dependencies (UD) annotations, we train a state-of-the-art dependency parser specifically tailored to CHILDES. The parser more accurately captures syntactic patterns in child-adult interactions, outperforming widely used off-the-shelf English parsers, including SpaCy and Stanza. Alongside the parser, we also release a Part-of-Speech tagger and an utterance-level construction tagger, which together form the open-source Syntactic Parsing Toolkit for Child-Adult InTeractions (CAIT). Through a detailed error analysis and a case study tracking the distribution of syntactic constructions across developmental time in CHILDES, we demonstrate the practical utility of the toolkit for large-scale, reproducible research on language acquisition.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。