تقرير
EthioMT: Parallel Corpus for Low-resource Ethiopian Languages
| العنوان: | EthioMT: Parallel Corpus for Low-resource Ethiopian Languages |
|---|---|
| المؤلفون: | Tonja, Atnafu Lambebo, Kolesnikova, Olga, Gelbukh, Alexander, Kalita, Jugal |
| سنة النشر: | 2024 |
| المجموعة: | Computer Science |
| مصطلحات موضوعية: | Computer Science - Computation and Language |
| الوصف: | Recent research in natural language processing (NLP) has achieved impressive performance in tasks such as machine translation (MT), news classification, and question-answering in high-resource languages. However, the performance of MT leaves much to be desired for low-resource languages. This is due to the smaller size of available parallel corpora in these languages, if such corpora are available at all. NLP in Ethiopian languages suffers from the same issues due to the unavailability of publicly accessible datasets for NLP tasks, including MT. To help the research community and foster research for Ethiopian languages, we introduce EthioMT -- a new parallel corpus for 15 languages. We also create a new benchmark by collecting a dataset for better-researched languages in Ethiopia. We evaluate the newly collected corpus and the benchmark dataset for 23 Ethiopian languages using transformer and fine-tuning approaches. Comment: Accepted at The Fifth workshop on Resources for African Indigenous Languages (RAIL) 2024 ( LREC-COLING 2024) |
| نوع الوثيقة: | Working Paper |
| الوصول الحر: | http://arxiv.org/abs/2403.19365Test |
| رقم الانضمام: | edsarx.2403.19365 |
| قاعدة البيانات: | arXiv |
| الوصف غير متاح. |