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arXiv · 2609.27558

ThaiTrees: Thai Syntactic Dependency Trees Across Domains

Attapol T. Rutherford·Papatchol Thientong
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Abstract

Studying syntactic patterns in naturally occurring language requires a large parsed corpus, but manual annotation is costly and difficult to scale. Thai has a manually annotated dependency treebank for training and evaluating parsers, but lacks a large automatically parsed corpus for quantitative syntactic research. We present ThaiTrees, a 342M-token corpus drawn from news, Wikipedia, spoken transcripts, and social media. We develop a reproducible pipeline for cleaning, processing, and parsing Thai text under the Universal Dependencies framework. The resulting corpus makes grammatical relations searchable and supports the study of syntactic distributions. We release a frequency lexicon and CoNLL-U parses in machine-readable formats suitable for both AI-assisted and conventional programmatic analysis.

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Attapol T. Rutherford, Papatchol Thientong. 2026-09-23. ThaiTrees: Thai Syntactic Dependency Trees Across Domains. https://arxiv.org/abs/2609.27558

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