| 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,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. | |
| model,12-3-A94-1007,ak | <term> candidates </term> , the correct <term> | syntactic structure | </term> formed by an individual <term> coordinate | #25618 The problem is selecting, from all possible candidates, the correctsyntactic structure formed by an individual coordinate conjunction, i.e. determining which constituents are coordinated by the conjunction. | |
| 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. | |
| model,26-4-A94-1007,ak | <term> grammars </term> allow to write the <term> | rules | </term> in the simple notations . This paper | #25663 Typically, so many possible structures are produced that MT systems cannot select the correct one, even if the grammars allow to write therules in the simple notations. | |
| 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,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. | |
| 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. | |
| other,29-3-A94-1007,ak | constituents </term> are coordinated by the <term> | conjunction | </term> . Typically , so many possible <term> | #25635 The problem is selecting, from all possible candidates, the correct syntactic structure formed by an individual coordinate conjunction, i.e. determining which constituents are coordinated by theconjunction. | |
| other,10-1-A94-1007,ak | <term> English sentences </term> including <term> | coordinate conjunctions | </term> such as and , or , but and the equivalent | #25570 The authors propose a model for analyzing English sentences includingcoordinate conjunctions such as and, or, but and the equivalent words. | |
| 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. |
