Paper: Real-Time Spoken Language Translation Using Associative Processors

ACL ID A94-1017
Title Real-Time Spoken Language Translation Using Associative Processors
Venue Applied Natural Language Processing Conference
Session Main Conference
Year 1994
Authors

This paper proposes a model using associative processors (APs) for real-time spoken language translation. Spoken language translation re- quires (1) an accurate translation and (2) a real- time response. We have already proposed a model, TDMT (Transfer-Driven Machine Trans- lation), that translates a sentence utilizing ex- amples effectively and performs accurate struc- tural disambiguation and target word selection. This paper will concentrate on the second re- quirement. In TDMT, example-retrieval (ER), i.e., retrieving examples most similar to an in- put expression, is the most dominant part of the total processing time. Our study has concluded that we only need to implement the ER for ex- pressions including a frequent word on APs. Ex- perimental results show that the ER can be dras- t...