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| Title: | 多義詞詞性分辨模型的訓練資料準備與前處理: 以臺灣客語「个」為例
Preparation and Preprocessing of Training Data for Word Sense Disambiguation Model: A Case Study of Taiwan Hakka Polysemy GE |
| Authors: | 陳彥宏
Chen, Yanhong |
| Contributors: | 賴惠玲
Lai, Hui-Ling
陳彥宏
Chen, Yanhong |
| Keywords: | 臺灣客語
多義詞詞意分辨
深度學習
資料標記
Taiwan Hakka
Word sense disambiguation
Deep learning
Data annotation |
| Date: | 2023 |
| Issue Date: | 2023-06-02 11:33:41 (UTC+8) |
| Abstract: | Lai(2022)在訓練臺灣客家語料庫中「个」詞的多義詞詞意分辨模型時，參考了過去的「个」的研究(賴文英, 2012)來為此字的WSD模型訓練資料分類，但在實際的分類過程中，發現臺灣客語語料庫的詞類標記方式以及「个」的語法及語意複雜性導致標記人員難以順利執行原定的分類標準。本論文簡化了標記使用的資料分類標準，希望能使「个」詞的多義詞詞意分辨模型的訓練分類更為簡便，使機器學習更有效率。
When Lai (2022) trained the word sense disamguation model for morpheme GE in Taiwan Hakka Corpus, grammatical and functional classification of GE (賴文英, 2012) was adopted to construct its data annotation scheme. However, during the annotation process, the part of speech information of Taiwan Hakka Corpus and the syntactic and semantic complexity of GE let the annotaters find it difficult to abide by the original data annotation scheme. This research simplified the data annotation scheme, hoping to make the WSD data annotation process of GE easier, and therefore the WSD model training more efficient. |
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| Description: | 碩士
國立政治大學
語言學研究所
108555002 |
| Source URI: | http://thesis.lib.nccu.edu.tw/record/#G0108555002 |
| Data Type: | thesis |
| Appears in Collections: | [語言學研究所] 學位論文
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