Chinese-Mongolian Bilingual Dictionary Dataset
While bilingual dictionaries between source and target languages can signiffcantly enhance translation performance in large language models (LLMs) by providing critical lexical alignment signals. Notably, no publicly available word-level triples exist for Chinese, Mongolian, and theirlatinized counterparts. To address this accessibility challenge, we create a new dataset that contains 30, 000 ⟨Chinese, Mongolian, Mongolian(latin)⟩ word-level triple data. More speciffcally,We ffrst leverage cross-lingual word induction to extract a Chinese-Mongolian bilingual dictionary from a large-scale and readily available Chinese-Mongolian comparable corpus. Then,with the help of ffve Mongolian language experts, we conduct quality assessment, manual proofreading, and latin transcription of the extracted dictionary to generate the triple dataset. Theopen-source release of this dataset advances Chinese-Mongolian cross-lingual information processing research while establishing a replicable framework for constructing bilingual dictionariesin other low-resource language contexts.
Authors
- Yingli Shen (ORCID: https://orcid.org/0009-0002-5384-316X)
- Liang-Chih Yu (ORCID: https://orcid.org/0000-0003-1443-4347)
- Xiaoke Qi (ORCID: https://orcid.org/0000-0003-2776-3297)
- Xiaobing Zhao
Publication Details
- Journal
- Data Intelligence
- Published
- 2025-03-01
- DOI
- https://doi.org/10.3724/2096-7004.di.2025.0013
- Primary Topic
- Natural Language Processing Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Office for Philosophy and Social Sciences