Title
Local cohesive knowledge for a dialogue-machine translation system
Abstract
In a natural dialogue, there are many disturbances in the context level because of interruptions and inserted sentences. In spite of such phenomena, cohesion is a very important idea for understanding the context correctly. In our approach, cohesive knowledge which judges cohesion between sentences is given to the system and then the knowledge is used to find cohesion in disarranged context. It is also applied to interpret anaphora, ellipsis and pro-forms in the context. In order to do so, we define the knowledge and use its definition to abstract knowledge from a linguistics database almost automatically.
Year
DOI
Venue
1990
10.3115/991146.991229
COLING
Keywords
Field
DocType
natural dialogue,context level,abstract knowledge,linguistics database,disarranged context,local cohesive knowledge,cohesive knowledge,important idea,dialogue-machine translation system,judges cohesion,machine translation
Cohesion (chemistry),Computer science,Machine translation system,Artificial intelligence,Natural language processing,Linguistics,Spite
Conference
Volume
ISBN
Citations 
C90-3
952-90-2028-7
1
PageRank 
References 
Authors
0.43
1
1
Name
Order
Citations
PageRank
Ikuo Kudo1226.03