臺灣博碩士論文加值系統

在語言學習過程中，字彙的累積是最基礎且往往也是影響學習效率最大的一環。而字彙的增加最有效的方式，不外乎是經常性地閱讀以增加自己接觸各式單字的機會；可是要如何在閱讀過程中將生字消化吸收呢？通常傳統的方式會透過字典查詢字義，再不斷地背誦來逹成目標；然而這樣單調的方式十分地沒有效率，也因此有許多的語言學習研究者開發出許多不同於此的方式來加強語言學習者在單字上的學習。
本研究的目的在開發一個不同以往的系統來幫助語言學習者增加字彙；我們希望利用視學感官的刺激來加深使用者對某個生字（尤其是具體的實物）的印象。此系統利用網路上的資源來取得我們所需的資訊，例如，透過Google Image Search來查詢某個生字相關圖片；然而，由於網路的多樣性，搜尋結果權重最高的影像不一定符合我們文章中的解釋。因此我們的系統必須設法解決這樣的問題。
由於生字的字義必須以單字在文章中的解釋為主，因此本系統在設計時設法取得文章中具關鍵代表性的單字作為搭配，再利用這些搭配字與單字一起搜尋，以期能將搜尋結果限制在更精確的範圍內，在論文中我們描述了兩種取得搭配字的策略。
透過我們的系統來查詢單字時，使用者可以有不同於傳統方式的體驗。這將有助加強使用者的印象以幫助記憶單字。

In language learning, vocabulary acquisition is basic and dominates the efficiency of the language learning. The most efficient way to increase the vocabulary is through reading which can help learner to assimilate large amounts of words. However, how does a learner understand an unfamiliar word while in reading? Traditional way is to consult a dictionary to get the meaning and then recite it frequently. The monotonous way is not very efficient. Hence, many researchers develop different methods to help users on vocabulary acquisition.
The purpose of this thesis is to develop a system different from traditional way to help users increase their vocabulary. We want to utilize the stimulation of visual sensory to impress the users about words, especially in tangible nouns. The system uses the resources on Internet to obtain the needed information, for example, getting related images about a word through Google Image Search. However, due to the diversity of documents on Internet, the search results with topmost ranks may not match the interpretation of the queried word in the page. Therefore, our system is designed to solve this problem.
The meaning of a word in context should be related to the content. Thus, our system wants to extract the representative words in the context. These words are treated as collocation of the queried word and they are combined with the queried word to form a new request to the search engine. We think this way can control the search results under related scopes. In our thesis, we describe two strategies to obtain collocations.
Through our system, users will have experiences different from traditional way on consulting vocabulary. This is helpful to impress users and to vocabulary learning.

Contents I
List of Figures II
List of Tables III
Chapter 1. Introduction 1
1.1. Motivation 1
1.2. Visual Memory 2
1.3. Research Issues 3
1.4. Organization of this Thesis 4
Chapter 2. Language Learning Resources 5
2.1. Corpus 5
2.2. WordNet 6
Chapter 3. A Perceptual Dictionary using Image Search 7
3.1. URL Banner 8
3.2. Get users’ query 9
3.3. Vocabulary Information Block 12
Chapter 4. System Architecture 15
4.1. System Framework 15
4.2. Image Search Strategies 18
Chapter 5. Tools Used in Implementation 31
5.1. AJAX 31
5.2. Regular Expression 32
Chapter 6. Conclusion and Future Works 34
6.1. Conclusion 34
6.2. Future Works 35
Reference 36

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