Abstract
In-depth vocabulary knowledge plays a key role in L2 (second language) vocabulary acquisition, and computer English vocabulary is vital to academic performances of students majored in Computer Science. While many Chinese students cannot realize computer English vocabulary acquisition due to lacking input environment of computer English. To solve this problem, with techniques of keyword search, information retrieval, and text classification, to meet the diverse learning needs of students, it built the in-depth computer English vocabulary knowledge acquisition environment for the high frequency of computer English words, providing the depth of knowledge such as polysemy, synonyms, syntax, and pragmatics. The construction of in-depth computer English vocabulary acquisition environment helps future studies on computer English teaching applications.
This research is partly supported by the Ministry of Education’s Humanities and Social Science Project No. 11YJC740048, Scientific planning issues of education in Heilongjiang Province No. GBC1211062, research fund for the program of new century excellent talents in Heilongjiang provincial university No. 1155-ncet-008 and the National Natural Science Foundation of China under grant Nos. 60903083, 61502123.
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Lang, F., Li, P., Kang, J., Sun, G. (2016). Computer English Acquisition Environment Construction Based on Question Answering Technology. In: Che, W., et al. Social Computing. ICYCSEE 2016. Communications in Computer and Information Science, vol 624. Springer, Singapore. https://doi.org/10.1007/978-981-10-2098-8_1
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DOI: https://doi.org/10.1007/978-981-10-2098-8_1
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