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The word-based task was under way.
This paper illustrates two kinds of semantic input method for Chinese word senses such as Word-based word sense input and Sentence-based word sense input.
While word-based keyword search is quite effective for in-vocabulary words, OOV keywords are largely undetected.
It therefore relies upon both word-based and sound-based principles.
The prototype system shows both our Word-based and Sentence-based word sense Pinyin methods are promising in the text edit system.
This paper employs one kind of word-based generative model.
Table 5 Word-based feature sets in CRFs model.
When training the word-based model, we combined the word features and cluster features.
The vocabulary contains about 1,000 words and the word-based trigram language model is used.
This shows the difficulty of multi-word term detection, even for word-based STD systems.
We compare four approaches: Word-based direct relation.
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