| model,1-6-A94-1007,ak | of the <term> parallelism </term> . The <term> | model | </term> is based on a <term> balance matching | #25701 Themodel is based on a balance matching operation for two lists of the feature sets, which provides four effects: the reduction of analysis cost, the improvement of word disambiguation, the interpretation of ellipses, and robust analysis. | |
| tech,6-6-A94-1007,ak | The <term> model </term> is based on a <term> | balance matching operation | </term> for two lists of the <term> feature | #25706 The model is based on abalance matching operation for two lists of the feature sets, which provides four effects: the reduction of analysis cost, the improvement of word disambiguation, the interpretation of ellipses, and robust analysis. | |
| other,14-6-A94-1007,ak | operation </term> for two lists of the <term> | feature sets | </term> , which provides four effects : the | #25714 The model is based on a balance matching operation for two lists of thefeature sets, which provides four effects: the reduction of analysis cost, the improvement of word disambiguation, the interpretation of ellipses, and robust analysis. | |
| other,25-6-A94-1007,ak | provides four effects : the reduction of <term> | analysis cost | </term> , the improvement of <term> word disambiguation | #25725 The model is based on a balance matching operation for two lists of the feature sets, which provides four effects: the reduction ofanalysis cost, the improvement of word disambiguation, the interpretation of ellipses, and robust analysis. | |
| tech,31-6-A94-1007,ak | analysis cost </term> , the improvement of <term> | word disambiguation | </term> , the <term> interpretation </term> of | #25731 The model is based on a balance matching operation for two lists of the feature sets, which provides four effects: the reduction of analysis cost, the improvement ofword disambiguation, the interpretation of ellipses, and robust analysis. | |
| other,35-6-A94-1007,ak | <term> word disambiguation </term> , the <term> | interpretation | </term> of <term> ellipses </term> , and <term> | #25735 The model is based on a balance matching operation for two lists of the feature sets, which provides four effects: the reduction of analysis cost, the improvement of word disambiguation, theinterpretation of ellipses, and robust analysis. | |
| other,37-6-A94-1007,ak | , the <term> interpretation </term> of <term> | ellipses | </term> , and <term> robust analysis </term> | #25737 The model is based on a balance matching operation for two lists of the feature sets, which provides four effects: the reduction of analysis cost, the improvement of word disambiguation, the interpretation ofellipses, and robust analysis. | |
| tech,40-6-A94-1007,ak | </term> of <term> ellipses </term> , and <term> | robust analysis | </term> . This <term> model </term> was practically | #25740 The model is based on a balance matching operation for two lists of the feature sets, which provides four effects: the reduction of analysis cost, the improvement of word disambiguation, the interpretation of ellipses, androbust analysis. | |
| model,1-7-A94-1007,ak | <term> robust analysis </term> . This <term> | model | </term> was practically implemented and incorporated | #25744 Thismodel was practically implemented and incorporated into the English-Japanese MT system, and provided about 75% accuracy in the practical translation use. | |
| tech,9-7-A94-1007,ak | implemented and incorporated into the <term> | English-Japanese MT system | </term> , and provided about 75 % <term> accuracy | #25752 This model was practically implemented and incorporated into theEnglish-Japanese MT system, and provided about 75% accuracy in the practical translation use. | |
| measure(ment),18-7-A94-1007,ak | system </term> , and provided about 75 % <term> | accuracy | </term> in the practical translation use | #25761 This model was practically implemented and incorporated into the English-Japanese MT system, and provided about 75%accuracy in the practical translation use. |
