A hybrid approach to English Part-of-Speech(PoS) tagging with its target application being English-Chinese machine translation in business domain is presented,demonstrating how a present tagger can be adapted to learn...A hybrid approach to English Part-of-Speech(PoS) tagging with its target application being English-Chinese machine translation in business domain is presented,demonstrating how a present tagger can be adapted to learn from a small amount of data and handle unknown words for the purpose of machine translation.A small size of 998 k English annotated corpus in business domain is built semi-automatically based on a new tagset;the maximum entropy model is adopted,and rule-based approach is used in post-processing.The tagger is further applied in Noun Phrase(NP) chunking.Experiments show that our tagger achieves an accuracy of 98.14%,which is a quite satisfactory result.In the application to NP chunking,the tagger gives rise to 2.21% increase in F-score,compared with the results using Stanford tagger.展开更多
In this paper, we conduct research on the applications of theory of lexical chunks and cultural equivalence theory on Chinese for foreigner education. There are a lot of language chunks in block is different from the ...In this paper, we conduct research on the applications of theory of lexical chunks and cultural equivalence theory on Chinese for foreigner education. There are a lot of language chunks in block is different from the special language unit words, phrases, sentences, prefabricated resistance, can be stored as a whole and extract which plays important role in language acquisition. Teaching Chinese as a foreign language, the theory of lexical chunks in such aspects as help memorization and build up your language sense showed a huge advantage. To explore the teaching methods of lexical chunks has important significance to improve the effectiveness of Chinese teaching. Our research proposed the novel paradigm for the education which will be meanin~,ful and helnful.展开更多
基金supported by the National Natural Science Foundation of China under Grant No.61173100the Fundamental Research Funds for the Central Universities under Grant No.GDUT10RW202
文摘A hybrid approach to English Part-of-Speech(PoS) tagging with its target application being English-Chinese machine translation in business domain is presented,demonstrating how a present tagger can be adapted to learn from a small amount of data and handle unknown words for the purpose of machine translation.A small size of 998 k English annotated corpus in business domain is built semi-automatically based on a new tagset;the maximum entropy model is adopted,and rule-based approach is used in post-processing.The tagger is further applied in Noun Phrase(NP) chunking.Experiments show that our tagger achieves an accuracy of 98.14%,which is a quite satisfactory result.In the application to NP chunking,the tagger gives rise to 2.21% increase in F-score,compared with the results using Stanford tagger.
文摘In this paper, we conduct research on the applications of theory of lexical chunks and cultural equivalence theory on Chinese for foreigner education. There are a lot of language chunks in block is different from the special language unit words, phrases, sentences, prefabricated resistance, can be stored as a whole and extract which plays important role in language acquisition. Teaching Chinese as a foreign language, the theory of lexical chunks in such aspects as help memorization and build up your language sense showed a huge advantage. To explore the teaching methods of lexical chunks has important significance to improve the effectiveness of Chinese teaching. Our research proposed the novel paradigm for the education which will be meanin~,ful and helnful.
