| I05-3002 | of BiGram and BiGram with the | WP identifier | on the closed and open test sentences |
| I05-3002 | results of MSIME and MSIME with the | WP identifier | on the closed and open test sentences |
| I05-3002 | system are same with that of the | WP identifier | . All the bigram probabilities |
| I05-3002 | toneless STW accuracies of the | WP identifier | are 0.5 % and 1.4 % , respectively |
| I05-3002 | Identifier The algorithm of our | WP identifier | for a given Chinese syllables |
| I05-2010 | IME System and Bigram Model with | WP Identifier | We selected Microsoft Input Method |
| I05-3002 | human-editing . Then , apply our | WP identifier | to convert these testing syllables |
| I05-3002 | testing results of BiGram with the | WP identifier | . As per our analysis , the problems |
| I05-3002 | improvements of BiGram by using the | WP identifier | are 18.9 % and 18.8 % , respectively |
| I05-3002 | toneless STW accuracies of the | WP identifier | for the closed and open test |
| I05-3002 | results strongly support that the | WP identifier | can be used to effectively perform |
| I05-3002 | identified by the BiGram with the | WP identifier | Table 4 is the coverage of the |
| I05-3002 | identified word-pairs by using the | WP identifier | with the testing WP database |
| I05-3002 | Tables 3a and 3b indicate that the | WP identifier | can effectively improve the tonal |
| I05-3002 | this paper , we have applied a | WP identifier | to support the Chinese language |
| I05-3002 | System and A Bi - gram Model with | WP Identifier | We selected Microsoft Input Method |
| I05-2010 | , or the BiGram with the mix - | WP identifier | , was collected by directly replacing |
| I05-2010 | of the MSIME by using the mix - | WP identifier | are 29.2 % and 22.5 % , respectively |
| I05-2010 | the STW performance of our mix - | WP identifier | , the STW accuracy , the identified |
| I05-3002 | improvements of MSIME by using the | WP identifier | are 27.5 % and 22.1 % , respectively |
