Concordance

Query A94-1007 33 >
Shuffle 33 >
Shuffle 33 (1,538.5 per million)

other,14-6-A94-1007,bq	operation </term> for two lists of the <term>	feature sets	</term> , which provides four effects : the	#19829 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,18-3-A94-1007,bq	structure </term> formed by an individual <term>	coordinate conjunction	</term> , i.e. determining which <term> constituents	#19739 The problem is selecting, from all possible candidates, the correct syntactic structure formed by an individualcoordinate conjunction, i.e. determining which constituents are coordinated by the conjunction.
tech,1-6-A94-1007,bq	of the <term> parallelism </term> . The <term>	model	</term> is based on a <term> balance matching	#19816 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,bq	The <term> model </term> is based on a <term>	balance matching operation	</term> for two lists of the <term> feature	#19821 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,bq	structures </term> are produced that <term>	MT systems	</term> can not select the correct one ,	#19761 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.
other,25-6-A94-1007,bq	provides four effects : the reduction of <term>	analysis cost	</term> , the improvement of <term> word disambiguation	#19840 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.
other,12-5-A94-1007,bq	analysis model </term> , which provides <term>	top-down scope information	</term> of the correct <term> syntactic structure	#19796 This paper presents an English coordinate structure analysis model, which providestop-down scope information of the correct syntactic structure by taking advantage of the symmetric patterns of the parallelism.
other,10-1-A94-1007,bq	<term> English sentences </term> including <term>	coordinate conjunctions	</term> such as <term> and </term> , <term> or </term>	#19685 The authors propose a model for analyzing English sentences includingcoordinate conjunctions such as and, or, but and the equivalent words.
other,37-6-A94-1007,bq	disambiguation </term> , the interpretation of <term>	ellipses	</term> , and <term> robust analysis </term>	#19852 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,12-3-A94-1007,bq	<term> candidates </term> , the correct <term>	syntactic structure	</term> formed by an individual <term> coordinate	#19733 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.
other,21-4-A94-1007,bq	select the correct one , even if the <term>	grammars	</term> allow to write the <term> rules </term>	#19773 Typically, so many possible structures are produced that MT systems cannot select the correct one, even if thegrammars allow to write the rules in the simple notations.
tech,15-2-A94-1007,bq	of the most difficult problems for <term>	machine translation ( MT ) systems	</term> . The problem is selecting , from	#19714 Syntactic analysis of the English coordinate sentences is one of the most difficult problems formachine translation ( MT ) systems.
other,8-3-A94-1007,bq	problem is selecting , from all possible <term>	candidates	</term> , the correct <term> syntactic structure	#19729 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,24-3-A94-1007,bq	conjunction </term> , i.e. determining which <term>	constituents	</term> are coordinated by the <term> conjunction	#19745 The problem is selecting, from all possible candidates, the correct syntactic structure formed by an individual coordinate conjunction, i.e. determining whichconstituents are coordinated by the conjunction.
other,18-1-A94-1007,bq	as <term> and </term> , <term> or </term> , <term>	but	</term> and the equivalent <term> words </term>	#19693 The authors propose a model for analyzing English sentences including coordinate conjunctions such as and, or,but and the equivalent words.
other,29-3-A94-1007,bq	constituents </term> are coordinated by the <term>	conjunction	</term> . Typically , so many possible <term>	#19750 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,25-5-A94-1007,bq	structure </term> by taking advantage of the <term>	symmetric patterns	</term> of the <term> parallelism </term> . The	#19809 This paper presents an English coordinate structure analysis model, which provides top-down scope information of the correct syntactic structure by taking advantage of thesymmetric patterns of the parallelism.
other,22-7-A94-1007,bq	<term> accuracy </term> in the practical <term>	translation	</term> use . The use of <term> NLP techniques	#19880 This model was practically implemented and incorporated into the English-Japanese MT system, and provided about 75% accuracy in the practicaltranslation use.
other,5-4-A94-1007,bq	</term> . Typically , so many possible <term>	structures	</term> are produced that <term> MT systems	#19757 Typically, so many possiblestructures are produced that MT systems cannot select the correct one, even if the grammars allow to write the rules in the simple notations.
other,31-6-A94-1007,bq	analysis cost </term> , the improvement of <term>	word disambiguation	</term> , the interpretation of <term> ellipses	#19846 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.


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