結合多種文脈資訊建置電腦輔助同義詞學習系統

Computer-Assisted Near-Synonym Learning Using Multiple Contextual Knowledge Sources

許凱翔(Kai-Hsiang Hsu)

指導教授 ： 禹良治

元智大學/資訊學院/資訊管理學系/碩士(2011年)

https://doi.org/10.6838/YZU.2011.00269

摘要

電腦輔助語言學習(Computer-Assisted Language Learning, CALL)是個相當熱門的主題，應用電腦在字彙學習也已有相當多的研究，其中同義詞(Near-synonym)更是第二外語學習中相當困難的部分，同義詞即為意思非常相近，但是用法卻不盡相同的字詞，若非母語學習者，學習第二外語的同義詞是非常不容易的，為了降低學習的困難性，本論文希望藉由電腦來輔助第二外語學習者，在同義詞的學習上，更有效率。
本論文設計了一個同義詞學習系統，搭配七個同義詞集合以及兩種使用文脈資訊的方法：點式交互資訊(Pointwise Mutual Information, PMI)與N連詞(N-gram)模型，輔助學習者學習同義詞間的差異，以及遇到不同上下文時，同義詞的選用。為了測試系統對學習者是否有幫助，本研究收集30位受測者，經過前測與後測的實驗後，結果顯示系統對於導正學習者的錯誤認知上，是明顯有效的。

關鍵字

電腦輔助語言學習 ； 同義詞 ； 點式交互資訊 ； N連詞

並列摘要

Computer-assisted language learning (CALL) is an emerging research topic in recent years. Previous studies have investigated the use of computers for vocabulary learning. Near-synonym sets represent groups of words with similar meaning. Although the words in a near-synonym set have similar meaning, they may have different usages in different contexts. Such subtle difference is a major barrier for second language learner in learning near-synonyms. To this end, this paper builds a computer-assisted near-synonym learning system that can provide contextual information for near-synonyms. The contextual information includes pointwise mutual information (PMI) and n-grams. The experimental results show that the propose system can assist students to learn different usages of near-synonyms.

並列關鍵字

CALL ； Near-synonym ； PMI ； n-gram

參考文獻

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