| C02-1158 | effec - tive . However , existing | Example-Based MT | systems using the learning algorithms |
| J13-2008 | include statistical MT ( SMT ) and | example-based MT | ( EBMT ) . Techniques to improve |
| J03-3004 | the " net gain " of performing | example-based MT | compared to using on-line MT |
| J15-4007 | how to integrate rule-based and | example-based MT | models under a unifying statistical |
| I05-2039 | from Japanese to English by an | example-based MT | system . 4.1.1 Language model |
| C04-1015 | . 5 Discussion We incorporated | example-based MT | in models of statistical MT. |
| C04-1015 | improve MT quality . For instance , | example-based MT | can be improved by applying an |
| J93-1001 | important exceptions , such as | example-based MT | ( Sato and Nagao 1990 ) . The |
| C04-1015 | statistical MT are integrated into | example-based MT | , we compared various methods |
| C02-1158 | results . 6 Conclusion In existing | Example-Based MT | systems based on learning algorithms |
| C00-2145 | menlory heavy , linguistic light and | Example-Based MT | i.e. memory light and linguistic |
| C92-2115 | such approacb is case-based or | example-based MT | \ -LSB- 4 \ -RSB- \ -LSB- 9 \ |
| C04-1015 | from examplebased MT. Even though | example-based MT | can output appropriate translations |
| H94-1121 | acquisition ; CMU for glossary and | example-based MT | translation , interlingua specification |
| A94-1005 | translations . input Recently , several | example-based MTs | were proposed for processing |
| C02-1158 | as Rule-Based MT. Therefore , | Example-Based MT | , which automatically acquires |
| J13-4009 | Stymne , and Ahrenberg 2007 ) and | example-based MT | ( Brown 2002 ) . German compounds |
| C02-1158 | expensive . Statistical MT and | Example-Based MT | have been proposed to overcome |
| C00-2134 | MT ) , Knowledge-based MT and | Example-based MT | are combined on the chart during |
| C04-1015 | models of statistical MT. The | example-based MT | used in this paper is based on |
