We proposed the Sign Code Reordering approach (SCR) for reordering the intermediate sign codes (ISC) to Sign code script (SCS) generation. SCR uses language structure matching techniques to reduce complicated grammar ...
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ISBN:
(纸本)9780889866713
We proposed the Sign Code Reordering approach (SCR) for reordering the intermediate sign codes (ISC) to Sign code script (SCS) generation. SCR uses language structure matching techniques to reduce complicated grammar rules, provide efficient results. SCR comprises three steps: extraction, reordering and integration. The distinction between source and target language in both grammar and vocabulary is concerned in each processing step to ensure the accuracy of reordering. SCR focuses on accurate and acceptable reordering that are not conforming to the original structure. SCR was designed to capture linguistic differences such as phrase, sentence and multi-sentence structures, no matter how long the input sentence is. The SCR prototype system was implemented and tested to reorder a number ISCs. The test results have been proved that SCR arranges ISCs successfully. SCR can be augmented into any NLP application which requires ISC arrangement e.g., T3STS. T3STS translates Thai text into Thai Sign language. Thai Sign language is the language of the Deaf in Thailand.
We propose Thai Sign to Thai Machine Translation (TSTMT), an alternative approach to machine translation which is used for translating from Thai sign language into Thai text, TSTMT performs the translation by recogniz...
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Thai Intelligent Tutor with Information Retrieval (TITIR) is a multi-component intelligent tutor system. TITIR borrows interesting ideas from many fields including natural language processing, information retrieval, a...
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Thai Intelligent Tutor with Information Retrieval (TITIR) is a multi-component intelligent tutor system. TITIR borrows interesting ideas from many fields including natural language processing, information retrieval, and intelligent tutoring system, TITIR facilitates students' learning and communicating with the tutor via their own language in order to allowing student express their requirements or their needs better and easier. Personalized information retrieval is embedded in the system to retrieve the appropriate contents for each student by taking their personality into account.
We propose an alternative approach to text categorization for item banks. An item bank is a collection of textual data in which each item consists of short sentences and has only a few relevant words for categorizatio...
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We propose an alternative approach to text categorization for item banks. An item bank is a collection of textual data in which each item consists of short sentences and has only a few relevant words for categorization; some items could be categorized into many categories. The traditional categorization techniques cannot provide sufficiently accurate results because of a "lack of words" problem. From this observation, items in the same category always have the same group of terms (or keywords) and the similar locations of these terms in phrases suggest that the items have a high probability to be in the same category. Our new methodology PKIP, patterned keywords in phrase, is proposed to improve categorization accuracy and recover from the "lack of words "problem. The k-highest weight order words are selected as the keywords from each category and their patterns are mapped for feature selection. The value of k affects the classification result. The item bank categorization process is based on a supervised machine learning technique. The sample of the item bank that is used in this research is the collection of Thai primary mathematics problems item bank and we use SVM in the Weka machine learning software package as our classifier. The result of the classification shows that our approach produces acceptable classification results and the highest classification result is given when k = 12
We propose Thai sign to Thai machine translation (TSTMT), an alternative approach to machine translation which is used for translating from Thai sign language into Thai text. TSTMT performs the translation by recogniz...
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We propose Thai sign to Thai machine translation (TSTMT), an alternative approach to machine translation which is used for translating from Thai sign language into Thai text. TSTMT performs the translation by recognizing an image sequence of signs as sign words and synthesizing a target sentence from those sign words. TSTMT represents a hybrid of image recognition and natural language processing techniques. This approach is comprised of seven modules which are straightforward and extendable. The applications of TSTMT can be used to facilitate learning in deaf people and to help them to communicate with hearing people via their own language. In this paper the idea and initial experiment are presented.
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