| C90-3038 | neural network is being applied to | word category prediction | \ -LSB- 4 \ -RSB- . This paper |
| C90-3038 | naturally . 4.2 . Trigram Network | Word category prediction | results are shown in Fig. 6 . |
| C90-3038 | Research Laboratories Abstract | Word category prediction | is used to implement an accurate |
| C90-3038 | , a neural network for N-gram | word category prediction | in text . The NETgram can easily |
| C90-3038 | which is a neural network for | word category prediction | in text . The NETgram is constructed |
| C90-3038 | which is the neural network for | word category prediction | , is proposed . Training results |
| W02-1811 | the final judgments on both the | word category prediction | and the morpheme category disambiguation |
| J97-2002 | recently in NLP tasks such as | word category prediction | ( Nakamura et al. 1990 ) and |
| W02-1811 | analyzer , the accuracy of the | word category prediction | is raised to 71 % . This is because |
| C90-3038 | results showed that the Trigram | word category prediction | ability of the NETgram was comparable |
| C90-3038 | <title> NEURAL NETWORK APPROACH TO | WORD CATEGORY PREDICTION | FOR ENGLISH TEXTS </title> Masami |
| C90-3038 | recognition performance . 2 . | Word Category Prediction | Neural Net ( N ETgram ) The basic |
| C90-3038 | tit NEURAL NETWORK APPROACH TO | WORD CATEGORY PREDICTION | FOR ENGLISH TEXTS Masami NAKAMURA |
