政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/145037

政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/145037

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政大機構典藏 > 外國語文學院 > 語言學研究所 > 學位論文 > Item 140.119/145037

請使用永久網址來引用或連結此文件: https://nccur.lib.nccu.edu.tw/handle/140.119/145037

題名:	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
作者:	陳彥宏 Chen, Yanhong
貢獻者:	賴惠玲 Lai, Hui-Ling 陳彥宏 Chen, Yanhong
關鍵詞:	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
日期:	2023
上傳時間:	2023-06-02 11:33:41 (UTC+8)
摘要:	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.
參考文獻:	朱德熙. (2001). 說“的＂. 中國語文, 12. 收錄於朱德熙選集 (pp.258 - 289). 長春: 東北師範大學出版社. (原文出版於1961) 朱德熙. (2001). 關於〈說“的＂〉. 中國語文, 1. 收錄於朱德熙選集 (pp.290 - 307). 長春: 東北師範大學出版社. (原文出版於1966) 朱德熙. (2001). 北京話、廣州話、文水話和福州話里的“的＂字. 方言, 3. 收錄於朱德熙選集 (pp.308 - 316). 長春: 東北師範大學出版社. (原文出版於1980) 江敏華. (2006). 東勢客家話「同」與「分」的語法特徵及二者之間的關係. [Grammatical Characteristics of tung and bun in Dongshi Hakka and the Relatedness of the Two Markers]. 語言暨語言學, 7(2), 339-364. 賴文英. (2012). 客語的指示代詞. 臺灣: 客家委員會Retrieved from https://www.hakka.gov.tw/Content/Content?NodeID=624&PageID=36503 賴惠玲. (2019). 建置臺灣客語語料庫勞務採購案第一期程第三次報告-期末成果報告書. 臺灣: 客家委員會賴惠玲. (2021). 建置臺灣客語語料庫勞務採購案第二期程第三次報告-期末成果報告書. 臺灣: 客家委員會 Graves, A., Mohamed, A.-r., & Hinton, G. (2013). Speech recognition with deep recurrent neural networks. Paper presented at the 2013 IEEE international conference on acoustics, speech and signal processing. Huang, H.-c. (2014). Semantic Extensions and the Convergence of the Beneficiary Role: A Case Study of ＂Bun＂ and ＂Lau＂ in Hakka. Concentric： Studies in Linguistics, 40(1), 65-94. doi:10.6241/concentric.ling.40.1.03 Huang, H.-c. (2015). Relating Causative and Passive" Bun" Constructions in Hakka. 清華學報, 45(2), 167-200. Kim, Y. (2014, oct). Convolutional Neural Networks for Sentence Classification, Paper presented at the Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP). Lai, H.-L. (2001). On Hakka BUN: A case of polygrammaticalization. LANGUAGE AND LINGUISTICS, 2(2), 137-153. Lai, H.-L. (2004). The Syntactic Grounding and Conceptualization of Hakka BUN and LAU. Lai, H.-L. (2015). Profiling Hakka ＂Bun＂ Causative Constructions. [剖析客語「分」致使構式]. 語言暨語言學, 16(3), 369-395. doi:10.1177/1606822x15569164 Lai, H.-L. (2022). Pattern generalizations of Taiwan Hakka polysemy, applications to Taiwan Hakka corpus construction, and their implications to the extant research. (MOST 108-2410-H-004-050-MY3). Taipei, Taiwan: Department of English Literature, National Chengchi University Retrieved from https://www.grb.gov.tw/search/planDetail?id=13786774 Lai, H.-L., Hsu, H.-L., Liu, J.-S., Lin, C.-H., & Chen, Y. (2021a). Supervised Word Sense Disambiguation on Polysemy with Neural Network Models: A Case Study of BUN in Taiwan Hakka. International Journal of Asian Language Processing, 30(03), 2050011. Lai, H.-L., Hsu, H.-L., Liu, J.-S., Lin, C.-H., & Chen, Y. (2021b). Supervised Word Sense Disambiguation on Taiwan Hakka Polysemy with Neural Network Models: A Case Study of BUN, TUNG and LAU. Paper presented at the Proceedings of the 35th Pacific Asia Conference on Language, Information and Computation. Mikolov, T., Chen, K., Corrado, G., & Dean, J. (2013). Efficient estimation of word representations in vector space. arXiv preprint arXiv:1301.3781. Mikolov, T., Yih, W.-t., & Zweig, G. (2013). Linguistic regularities in continuous space word representations. Paper presented at the Proceedings of the 2013 conference of the north american chapter of the association for computational linguistics: Human language technologies. Tseng, Y.-C. (2012). An optimality theoretic analysis of the distribution of Hakka prepositions DI, DO, BUN, LAU, TUNG, ZIONG. Concentric： Studies in Linguistics, 38(2), 171-209.
描述:	碩士國立政治大學語言學研究所 108555002
資料來源:	http://thesis.lib.nccu.edu.tw/record/#G0108555002
資料類型:	thesis
顯示於類別:	[語言學研究所] 學位論文

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