以Web為基礎的語言測驗（Web-based language test）目前多為靜態網頁或是互動性低的動態網頁，如何提昇測驗系統的互動性，仍有待探討。目前已有學者利用自然語言處理技術來自動產生試題，並分析學生的作答錯誤。然而，相關研究仍多著重於字彙測驗與文法評量上。本研究針對聽力測驗，發展一套線上練習系統，並運用自然語言處理技術來自動產生聽力選擇題，以及分析學生的聽寫錯誤。我們分析語料庫中的詞彙，將發音相近的單字歸為一類，系統要產生聽力選擇題時，即從單字所屬的群組中，隨機挑選其他發音相近的單字當作誘答選項。而在分析聽寫錯誤方面，我們從語尾變化、拼字、拼音三種層次來分析學生的作答；系統批改完後，會按照學生的錯誤類型，提供不同種類的練習。本練習系統共有聽寫測驗、單字聽力選擇題、單字組聽力選擇題三種題型。系統可以輔助教師大量地編製試題與測驗，並輔助批改學生的作答。學生則可透過網路來接受測驗，並針對自己的弱點單字來作練習。 / Most Web-based language tests are presently static pages or dynamic pages with low interactivity. How to enhance the interactivity of the test systems is still under development. Today some researchers have utilized natural language processing techniques for automatic item generation and intelligent error analysis of students’ answers. However, most known research works put more emphases on vocabulary tests and grammar correction. In this paper, we propose a Web-based practice system for English dictation and listening cloze. We use natural language processing techniques to automatically generate multiple-choice item and analyze students’ dictation errors. First, we analyze the words in the corpus and group them based on the similarity of the phones. When the system generates multiple-choice items, it will search the matched cluster and randomly pick other words with similar phones. Second, we analyze students’ dictation from three aspects: inflected form, spelling errors and phoneme structures. After analyzing students’ answers, the system will provide different practice items according to the error types. Our practice system has three item types: one for dictation and two for multiple-choice listening cloze. The system can assist teachers in authoring items and grading the test results. Students can take the test through the Internet and practice on their weak words.