以共現資訊為基礎增進中學英漢翻譯試題與解答之詞彙對列 (Using Co-Occurrence Information to Improve Chinese-English Word Alignment in Translation Test Items for High School Students) [In Chinese]

本文探討我國中學程度翻譯試題的中文試題與英文解答的詞彙對列問題。我們先利用漢 英字典作為基礎,找尋互為翻譯的漢英詞對;然後利用未被對列的剩餘詞彙之間的共現 關係,以五種過去在文獻中探索過的計分方式,來尋找與界定更多的互譯詞彙組合。在 超過 17,000 道試題為基礎的測試中,我們以人工檢視計分機制給予高分的部分對列詞 彙的正確性。實驗結果顯示,進一步利用未對列詞彙的方法,可以把對列成果的 F measure 從 76.9%提高到 83.7%。 Abstract We study the word alignment between the Chinese problems and the English answers for the English-Chinese translation tests at the high school level in Taiwan. After applying a dictionary-based approach, we attempted to take advantage of the information about co-occurrence of unaligned words to find more translation pairs. We explored five scoring methods that were previously proposed in the literature. We ran our experiments with more than 17,000 test items, and checked the aligned word pairs that were assigned high scores. Experimental results showed that we could improve the F measure for the alignment task from 76.9% to 83.7% with the best performing scoring method.