ThaiTrees: Thai Syntactic Dependency Trees Across Domains
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 an...
| Authors | Attapol T. Rutherford, Papatchol Thientong |
|---|---|
| Primary category | cs.CL |
| Published | 23 September 2026 |
| Last updated at source | 23 September 2026 |
Connected in the knowledge graph
- wannaphong/ThaiTreesDataset · cited by
- nlp-chula/ThaiTreesDataset · cited by
Models and datasets referencing this paper
- nlp-chula/ThaiTreesDataset
- wannaphong/ThaiTreesDataset
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