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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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