運用語言與統計分析解釋文法錯誤｜國立清華大學博碩士論文庫

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研究生：	侯芙堤 Hou, Fu-Ti
論文名稱：	運用語言與統計分析解釋文法錯誤 Explaining Grammatical Error Correction Through Linguistic and Statistical Analysis
指導教授：	張俊盛 Chang, Jason S.
口試委員:	陳浩然 Chen, Hao-Jan 張智星 Jang, Jyh-Shing 楊謦瑜 Yang, Ching-Yu
學位類別：	碩士 Master
系所名稱：	電機資訊學院 - 資訊系統與應用研究所 Institute of Information Systems and Applications
論文出版年：	2021
畢業學年度：	109
語文別：	英文
論文頁數：	58
中文關鍵詞：	文法改錯、文法錯誤標注、修正回饋
外文關鍵詞：	Grammatical Error Correction, Grammatical Error Annotation, Corrective Feedback
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本論文針對一組 <錯誤句子，改正句子> 提出為不同類型文法錯誤產生解釋的方法。我們的做法是，將輸入的每組平行句子，與一系列的規則做對應，從中提取錯誤類型和引發錯誤的字詞。我們的方法需要分析不同類型的錯誤，設計規則來提取引發錯誤的字詞，以及建立中間挖空的解釋模板。在執行階段時，輸入的平行句子會一一對應規則，來提取解釋模板所需要的元素，並填入模板的空格中產生解釋。我們實作上述方法，產生文法改錯的解釋，並提出雛型系統ExplainInDepth。這個系統產生的解釋包含：錯誤類型、問題詞（亦即引發錯誤的字詞），以及一段簡短的改錯描述。我們以常見錯誤詞典和學習者語料庫的資料作為輸入，將輸出的解釋由人工評估，結果顯示這個系統能為文法改錯產生不錯的解釋。

This thesis introduces a method for generating an explanation to a given <erroneous, corrected> sentence pair in order to explain various types of grammatical errors. In our approach, the sentence pair is matched against a set of rules to classify the error type and to identify the error-causing word. The method involves analyzing various types of errors, designing rules to retrieve error-causing words, and writing explanation templates with slots. At run-time, the sentence pair is matched against a set of rules, and explanation slot elements are retrieved to fill the templates in order to generate explanations. We present ExplainInDepth, a prototype system that implements the method to provide explanatory feedback, including error type, problem word (i.e., error-causing word), and a short description. Explanations for a set of sentence pairs from a dictionary of common errors and a learner corpus are evaluated manually and the results show that the proposed prototype generates reasonably good explanations for GEC.

Abstract    i
摘要    ii
誌謝辭    iii
Contents    iv
List of Figures    vi
List of Tables    viii
Introduction    1
Related Work    5
Method    7
1     Problem Statement..........................7
2     Learning to Identify Problem Words for Different Error Types..........................9
2.1     Analyzing Errors and Identifying Problem Words..........................9
2.2     Constructing Template Set for Each Error Type..........................13
3     Filling Templates at Run-Time..........................19
3.1     Retrieving Template Parameters from Input Pair..........................19
3.2     Generating Template Parameters for Lexical Errors..........................21
3.3     Generating Template Parameters for Pattern Errors..........................23
3.4     Generating Template Parameters for Determiner Errors..........................25
3.5     Generating Template Parameters for Noun Errors..........................27
3.6     Generating Template Parameters for Verb Errors..........................29
Experiments and Evaluation..........................31
1     Datasets..........................31
2    Experimental Setup..........................34
3    Evaluation and Discussion..........................36
3.1     Selecting Sentence Pair for Each Type..........................36
3.2     Evaluation Metrics..........................38
3.3     Evaluating Problem Word..........................39
3.4     Evaluation Results..........................43
3.5     Discussion..........................46
Conclusion and Future Work    51
References    52
Appendix    55
                                

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