| dc.contributor | 英文系 | - |
| dc.creator (作者) | 賴惠玲; 劉吉軒 | - |
| dc.creator (作者) | Lai, Huei-Ling; Liu, Jyi-Shane | - |
| dc.creator (作者) | Hsu, Hsiao-Ling; Lin, Chia-Hung; Chen, Yanhong | - |
| dc.date (日期) | 2021-11 | - |
| dc.date.accessioned | 28-Jun-2022 14:03:36 (UTC+8) | - |
| dc.date.available | 28-Jun-2022 14:03:36 (UTC+8) | - |
| dc.date.issued (上傳時間) | 28-Jun-2022 14:03:36 (UTC+8) | - |
| dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/140455 | - |
| dc.description.abstract (摘要) | This research aims to explore an optimal model for automatic word sense disambiguation for highly polysemous markers BUN, TUNG and LAU in Taiwan Hakka, a low-resource language. The performance of word sense disambiguation tasks is carried out by examining DNN, BiLSTM and CNN models under different window spans. The results show that the CNN model can achieve the best performance with a multiple sliding window of L2R2+ L3R3 and L5R5 | - |
| dc.format.extent | 603667 bytes | - |
| dc.format.mimetype | application/pdf | - |
| dc.relation (關聯) | Proceedings of the 35th Pacific Asia Conference on Language, Information and Computation, Shanghai International Studies University, pp.592~602 | - |
| dc.subject (關鍵詞) | polysemy, word sense disambiguation, Taiwan Hakka, neural network models, CNN | - |
| dc.title (題名) | Supervised Word Sense Disambiguation on Taiwan Hakka Polysemy with Neural Network Models: A Case Study of BUN, TUNG and LAU | - |
| dc.type (資料類型) | conference | - |
