Both a general domain-independent bottom-up multi-level model and an algorithm for establishing the taxonomic relation of Chinese ontology are proposed.The model consists of extracting domain vocabularies and establis...Both a general domain-independent bottom-up multi-level model and an algorithm for establishing the taxonomic relation of Chinese ontology are proposed.The model consists of extracting domain vocabularies and establishing taxonomic relation,with the consideration of characteristics unique to Chinese natural language.By establishing the semantic forests of domain vocabularies and then using the existing semantic dictionary or machine-readable dictionary(MRD),the proposed algorithm can integrate these semantic forests together to establish the taxonomic relation.Experimental results show that the proposed algorithm is feasible and effective in establishing the integrated taxonomic relation among domain vocabularies and concepts.展开更多
In the English language, there are many words which are considered synonymous in that dictionaries and thesauruses often define them in identical meanings. Under such circumstances, EFL learners are confronted with a ...In the English language, there are many words which are considered synonymous in that dictionaries and thesauruses often define them in identical meanings. Under such circumstances, EFL learners are confronted with a big difficulty in acquiring these words of similar meanings. They often regard synonymous words as equivalents and use them alternately, which sometimes result in ambiguity or awkwardness of their language. However, with the advent of corpora and concordancing programs, a new way of investigating and learning English synonymous words has emerged. This paper explores colligational patterns, collocational behavior and semantic prosody of two seemingly synonymous verbs, gain and obtain, in two native speaker corpora, the Brown Corpus and the LOB Corpus, in order to show how these 'equivalencies' can be misleading because 'synonymous' words are typically used in different ways. The study also examines EFL learners' behavior in using synonymous words by investigating the Chinese Learner English Corpus (CLEC). From the results of the study, it can be seen that Chinese EFL learners have not yet acquired a full understanding of the usage of gain and obtain with respect to colligation, collocation and semantic prosody. Their underuses and overuses of some grammatical forms and lexical patterns of the two target synonymous words might be influenced either by their mother tongue or by the registers of their English writing or by both. The paper finally discusses the implications of corpus-based study in vocabulary teaching and learning in general.展开更多
基金Sponsored by the National Natural Science Foundation of China(Grant No.60496326 and No.10671045)
文摘Both a general domain-independent bottom-up multi-level model and an algorithm for establishing the taxonomic relation of Chinese ontology are proposed.The model consists of extracting domain vocabularies and establishing taxonomic relation,with the consideration of characteristics unique to Chinese natural language.By establishing the semantic forests of domain vocabularies and then using the existing semantic dictionary or machine-readable dictionary(MRD),the proposed algorithm can integrate these semantic forests together to establish the taxonomic relation.Experimental results show that the proposed algorithm is feasible and effective in establishing the integrated taxonomic relation among domain vocabularies and concepts.
文摘In the English language, there are many words which are considered synonymous in that dictionaries and thesauruses often define them in identical meanings. Under such circumstances, EFL learners are confronted with a big difficulty in acquiring these words of similar meanings. They often regard synonymous words as equivalents and use them alternately, which sometimes result in ambiguity or awkwardness of their language. However, with the advent of corpora and concordancing programs, a new way of investigating and learning English synonymous words has emerged. This paper explores colligational patterns, collocational behavior and semantic prosody of two seemingly synonymous verbs, gain and obtain, in two native speaker corpora, the Brown Corpus and the LOB Corpus, in order to show how these 'equivalencies' can be misleading because 'synonymous' words are typically used in different ways. The study also examines EFL learners' behavior in using synonymous words by investigating the Chinese Learner English Corpus (CLEC). From the results of the study, it can be seen that Chinese EFL learners have not yet acquired a full understanding of the usage of gain and obtain with respect to colligation, collocation and semantic prosody. Their underuses and overuses of some grammatical forms and lexical patterns of the two target synonymous words might be influenced either by their mother tongue or by the registers of their English writing or by both. The paper finally discusses the implications of corpus-based study in vocabulary teaching and learning in general.
