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Titlebook: Verb Sense Discovery in Mandarin Chinese—A Corpus based Knowledge-Intensive Approach; Jia-Fei Hong Book 2015 Springer-Verlag Berlin Heidel

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21#
發(fā)表于 2025-3-25 04:48:03 | 只看該作者
Jia-Fei Hongthe facet theory and the mapping sentence. Advances have taken the form of extensions in the use of multi-dimensional research design and analysis and the consideration of facet theory as a qualitative orientation in research, as a research project-planning tool and within a therapeutic domain. Thro
22#
發(fā)表于 2025-3-25 09:54:30 | 只看該作者
23#
發(fā)表于 2025-3-25 15:38:42 | 只看該作者
Jia-Fei Hongychological a notion for our present purposes. Anxiety is only one facet of the . spectrum. The whole spectrum takes in everything from that wonder, which is the beginning of philosophy, through adventuresomeness to alarm, and that anxiety born of a consideration of the possibilities a new adventure
24#
發(fā)表于 2025-3-25 17:10:23 | 只看該作者
25#
發(fā)表于 2025-3-25 22:07:43 | 只看該作者
26#
發(fā)表于 2025-3-26 02:52:18 | 只看該作者
27#
發(fā)表于 2025-3-26 07:58:07 | 只看該作者
28#
發(fā)表于 2025-3-26 11:01:41 | 只看該作者
Previous Researches on Lexical Ambiguity and Polysemy, like to introduce and discuss lexical ambiguity and polysemy. In addition, I also would like to discuss that lexical ambiguity studies are used in the corpus-based and computational and psycholinguistic approaches. Therefore, I will discuss corpus-based and computational models and experimental eva
29#
發(fā)表于 2025-3-26 14:37:07 | 只看該作者
Lexical Knowledge Base and Corpus,, it is necessary to collect a large amount of data in order to analyze and examine these target words objectively. The Chinese Gigaword Corpus is a good tool for the collection of this data. In addition, in the concept similarity clustering analysis, the four target words will be mapped and assigne
30#
發(fā)表于 2025-3-26 20:17:14 | 只看該作者
Evaluations in Chinese Wordnet and ,,proach in this chapter, I demonstrated that I can explore all possible senses for the four target words—. “eat”, .“ play”, . “change”, and. “burn”—in different contexts or discourses. In this chapter, I used these two similarity-clustering analyses to obtain clusters for predicting senses for the fo
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