隨著全球化趨勢的來臨，英語對於非英語系的國家來說愈來愈重要，而由於網際網路的蓬勃發展，使得數位學習也成為未來學習的新趨勢。近年來，有許多的研究以電腦輔助學習的特性來進行英語學習，但大部分的研究都著重在提升學習者在英語字彙、閱讀方面的能力，鮮少有相關研究針對學習者的文法觀念進行輔助學習。
本研究提出一個以剖析文法為基礎的英語文法輔助學習系統，其主要是以語法剖析來分析英文文章內的句型結構，進而輔助學習者學習英語文法，並從英文文章中，自動產生與該英語文法相對應的文法試題，供學習者作自我測驗並提供及時回饋。系統並提供自動出題系統直接透過文章來產生文法相關之試題，以利教學者能在教學課程中直接使用。透過實驗後之學習成就以及問卷分析，證實本研究所提出的英語文法輔助學習系統，可以提升學習者的英語文法能力和幫助教學者建立良好的文法試題。

The trend of globalization makes English speaking an essential communication skill for people in English as a Foreign Language (EFL) countries. At the same time, the vigorous development of Internet and e-learning technologies also make distant learning more realistic and popular. In recent years, many studies have made computer-aided English learning possible. However, most of the studies focus only on expanding vocabulary, but rarely on English grammar learning, to improve English reading and speaking ability.
This research establishes an English assistant learning system based on grammar parsing and automatic test item generation. The core operation of the system is to use grammar parsing to decode and analyze the structure of sentences in articles and to help users learning English grammar using automatically generated intermediate test items with real time responses. Additionally, this system equips an automatic item generation mechanism that generates test items for different grammar tests directly from articles or chapters in textbook, if used in schools by instructors. With higher learning achievements and positive results of surveys in several experiments, this English assistant learning system proves able to improve learner’s English grammar learning and provide quality test items for instructors as well.

Allen, J. (2003). Natural language processing: John Wiley and Sons Ltd.
Brown, H. (2001). Teaching by principles: An interactive approach to language pedagogy. Paper presented at the White Plains, NY: Longman.
Campbell, D., Stanley, J., & Gage, N. (1963). Experimental and quasi-experimental designs for research: Rand McNally Chicago.
Chen, C., & Chung, C. (2008). Personalized mobile English vocabulary learning system based on item response theory and learning memory cycle. Computers & Education, 51(2):624-645.
Chen, G., Chang, C., & Wang, C. (2008). Using adaptive e-news to improve undergraduate programming courses with hybrid format. Computers & Education, 51(1):239-251.
Chen, K., & Chen, H. (1993). A probabilistic chunker. Paper presented at the Proceedings of R.O.C. Computational Linguistics Conference.
Dorr, B. (2001). Review of Natural Language Processing in RA Wilson and FC Keil (Eds.), The MIT Encyclopedia of the Cognitive Sciences. Artificial Intelligence, 130(2):185-190.
Erb, R. (2009). Livemocha. The Charleston Advisor, 11(2):30-35.
Goeman, H. (2001). On parsing and condensing substrings of LR languages in linear time. Theoretical Computer Science, 267(1-2):746-746.
Hindle, D. (1983). User manual for Fidditch, a deterministic parser. Naval Research Laboratory Technical Memorandum, 7590-7142.
Hsu, M. (2008). A personalized English learning recommender system for ESL students. Expert systems with applications, 34(1):683-688.
Klein, D., & Manning, C. (2003). Accurate unlexicalized parsing. Paper presented at the Proceedings of the 41st Meeting of the Association for Computational Linguistics.
Lacina, J. (2004). Promoting Language Acquisitions: Technology and English Language Learners. Childhood Education, 81(2):113-116.
Lan, Y., Sung, Y., & Chang, K. (2009). Let us read together: Development and evaluation of a computer-assisted reciprocal early English reading system. Computers & Education, 53(4):1188-1198.
Lane, P., & Henderson, J. (2001). Incremental syntactic parsing of natural language corpora with simple synchrony networks. IEEE Transactions on Knowledge and Data Engineering, 13(2):219.
Manning, C., & Schutze, H. (2000). Foundations of statistical natural language processing: MIT Press.
Marcus, M., Marcinkiewicz, M., & Santorini, B. (1993). Building a large annotated corpus of English: The Penn Treebank. Computational linguistics, 19(2):330.
Rosenberg, M. (2001). E-learning: Strategies for delivering knowledge in the digital age. New York: McGraw-Hill.
Santorini, B. (1990). Part-of-speech tagging guidelines for the Penn Treebank Project. University of Pennsylvania, 3rd Revision, 2nd Printing.
Shishibori, M., Sangkon Lee, S., Oono, M., & Aoe, J. (2002). Improvement of the LR parsing table and its application to grammatical error correction. Information Sciences, 148(1-4):11-26.
Stanford Parser, http://nlp.stanford.edu/software/lex-parser.shtml
Tsou, W., Wang, W., & Tzeng, Y. (2006). Applying a multimedia storytelling website in foreign language learning. Computers & Education, 47(1):17-28.
TutorABC, http://www.tutorabc.com/index.asp?language=zh-tw
Urdan, T., & Weggen, C. (2000). Corporate e-learning: Exploring a new frontier. San Francisco: WR Hambrecht.
Wang, K., Huang, Y., Jeng, Y., & Wang, T. (2008). A blog-based dynamic learning map. Computers & Education, 51(1):262-278.
Wang, Y., Tseng, M., & Liao, H. (2009). Data mining for adaptive learning sequence in English language instruction. Expert systems with applications:36(4), 7681-7686.
Yang, K., Ho, T., Chien, L., & Lee, L. (1998). Statistics-based segment pattern lexicon-a new direction for Chinese language modeling. Paper presented at the INSTITUTE OF ELECTRICAL ENGINEERS INC (IEE).
施弼耀 (2006)，線上動態英語閱讀學習平台建置與使用接受度評估，屏東教育大學學報，24:521-554。
高翊群 (2007)，行動導覽服務使用者接受模式分析-創新擴散之觀點，大同大學資訊經營所碩士論文。
教育部學習資源網，http://siro.moe.edu.tw/fip/index.php。
郭韋狄、黃昭憲、賴敏華、劉昭麟、高照明 (2009)，適用於中學英文閱讀測驗短文分類的特徵比較，第十四屆人工智慧與應用研討會。
郭經華、衛友賢、陳孟彰 (2001)，運用多媒體技術於網路英語學習，資訊與教育雜誌，82:27-34。
梁維彬、蕭育丞、吳宗憲 (2009)，應用句型結構與部份樣本樹於對話行為之偵測，第二十一屆自然語言與語音處理研討會。
傅茹舷 (2009)，利用記憶週期更新與內文關係增進英文字彙的學習，國立成功大學工程科學所碩士論文。
喬德麗 (2000)，網際網路課體在空軍官校英語教學之應用研究，國立高雄師範大學英語學系碩士論文。
黃貝玲 (2001)，從線上學習的發展看企業線上訓練，電子化企業︰經理人報告，19:12-23。
張駿淵 (2009)，導入知識地圖於教學評量系統，國立成功大學工程科學所碩士論文。
數位學習國家型科技計畫，http://elnpweb.ncu.edu.tw/index.htm。
蔡佩樺 (2004)，多媒體對於國中英語聽力及閱讀理解之效益分析，國立高雄師範大學英語學系碩士論文。
劉顯親、張俊盛 (2005)，應用雙語語料庫及電腦化學習支援（2/3），行政院國家科學委員會專題研究計畫期中報告（NSC93-2524-S-007-001-）。