| 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. | |
| other,4-2-A94-1007,ak | <term> Syntactic analysis </term> of the <term> | English coordinate sentences | </term> is one of the most difficult problems | #25588 Syntactic analysis of theEnglish coordinate sentences is one of the most difficult problems for machine translation (MT) systems. | |
| other,7-1-A94-1007,ak | authors propose a model for analyzing <term> | English sentences | </term> including <term> coordinate conjunctions | #25567 The authors propose a model for analyzingEnglish sentences including coordinate conjunctions such as and, or, but and the equivalent words. | |
| other,8-3-A94-1007,ak | problem is selecting , from all possible <term> | candidates | </term> , the correct <term> syntactic structure | #25614 The problem is selecting, from all possiblecandidates, the correct syntactic structure formed by an individual coordinate conjunction, i.e. determining which constituents are coordinated by the conjunction. | |
| tech,0-2-A94-1007,ak | the equivalent <term> words </term> . <term> | Syntactic analysis | </term> of the <term> English coordinate sentences | #25584 The authors propose a model for analyzing English sentences including coordinate conjunctions such as and, or, but and the equivalent words.Syntactic analysis of the English coordinate sentences is one of the most difficult problems for machine translation (MT) systems. | |
| tech,15-2-A94-1007,ak | of the most difficult problems for <term> | machine translation ( MT ) systems | </term> . The problem is selecting , from | #25599 Syntactic analysis of the English coordinate sentences is one of the most difficult problems formachine translation ( MT ) systems. | |
| 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. | |
| 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. | |
| 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. | |
| tech,9-4-A94-1007,ak | structures </term> are produced that <term> | MT systems | </term> can not select the correct one , | #25646 Typically, so many possible structures are produced thatMT systems cannot select the correct one, even if the grammars allow to write the rules in the simple notations. | |
| 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. |
