Writing style is the essential issue even at the early stage the beginners who learnto read and write have to confront.From the part-Notes on reading and writing beforethe part of exercises of each lesson in English B...Writing style is the essential issue even at the early stage the beginners who learnto read and write have to confront.From the part-Notes on reading and writing beforethe part of exercises of each lesson in English Book V-VⅢ we can come to see that the ed-itors attempt to mix the content(ideas)with the corresponding techniques.This is展开更多
Automatic Chinese text summarization for dialogue style is a relatively new research area. In this paper, Latent Semantic Analysis (LSA) is first used to extract semantic knowledge from a given document, all question ...Automatic Chinese text summarization for dialogue style is a relatively new research area. In this paper, Latent Semantic Analysis (LSA) is first used to extract semantic knowledge from a given document, all question paragraphs are identified, an automatic text segmentation approach analogous to TextTiling is exploited to improve the precision of correlating question paragraphs and answer paragraphs, and finally some “important” sentences are extracted from the generic content and the ques-tion-answer pairs to generate a complete summary. Experimental results showed that our approach is highly efficient and improves significantly the coherence of the summary while not compromising informativeness.展开更多
This paper had developed and tested optimized content extraction algorithm using NLP method, TFIDF method for word of weight, VSM for information search, cosine method for similar quality calculation from learning doc...This paper had developed and tested optimized content extraction algorithm using NLP method, TFIDF method for word of weight, VSM for information search, cosine method for similar quality calculation from learning document at the distance learning system database. This test covered following things: 1) to parse word structure at the distance learning system database documents and Cyrillic Mongolian language documents at the section, to form new documents by algorithm for identifying word stem;2) to test optimized content extraction from text material based on e-test results (key word, correct answer, base form with affix and new form formed by word stem without affix) at distance learning system, also to search key word by automatically selecting using word extraction algorithm;3) to test Boolean and probabilistic retrieval method through extended vector space retrieval method. This chapter covers: to process document content extraction retrieval algorithm, to propose recommendations query through word stem, not depending on word position based on Cyrillic Mongolian language documents distinction.展开更多
This paper aims to solve two major stylistic issues a translation team faces in carrying out a translation project. First,what is the style to be established for the TT? What should be done to achieve a uniform transl...This paper aims to solve two major stylistic issues a translation team faces in carrying out a translation project. First,what is the style to be established for the TT? What should be done to achieve a uniform translation style of the team?展开更多
文摘Writing style is the essential issue even at the early stage the beginners who learnto read and write have to confront.From the part-Notes on reading and writing beforethe part of exercises of each lesson in English Book V-VⅢ we can come to see that the ed-itors attempt to mix the content(ideas)with the corresponding techniques.This is
基金Project (No. 2002AA119050) supported by the National Hi-TechResearch and Development Program (863) of China
文摘Automatic Chinese text summarization for dialogue style is a relatively new research area. In this paper, Latent Semantic Analysis (LSA) is first used to extract semantic knowledge from a given document, all question paragraphs are identified, an automatic text segmentation approach analogous to TextTiling is exploited to improve the precision of correlating question paragraphs and answer paragraphs, and finally some “important” sentences are extracted from the generic content and the ques-tion-answer pairs to generate a complete summary. Experimental results showed that our approach is highly efficient and improves significantly the coherence of the summary while not compromising informativeness.
文摘This paper had developed and tested optimized content extraction algorithm using NLP method, TFIDF method for word of weight, VSM for information search, cosine method for similar quality calculation from learning document at the distance learning system database. This test covered following things: 1) to parse word structure at the distance learning system database documents and Cyrillic Mongolian language documents at the section, to form new documents by algorithm for identifying word stem;2) to test optimized content extraction from text material based on e-test results (key word, correct answer, base form with affix and new form formed by word stem without affix) at distance learning system, also to search key word by automatically selecting using word extraction algorithm;3) to test Boolean and probabilistic retrieval method through extended vector space retrieval method. This chapter covers: to process document content extraction retrieval algorithm, to propose recommendations query through word stem, not depending on word position based on Cyrillic Mongolian language documents distinction.
文摘This paper aims to solve two major stylistic issues a translation team faces in carrying out a translation project. First,what is the style to be established for the TT? What should be done to achieve a uniform translation style of the team?
