| other,10-8-A94-1017,ak | between <term> APs </term> demonstrates the <term> | scalability | </term> against <term> vocabulary size </term> | #26226 Moreover, a study on communications between APs demonstrates thescalability against vocabulary size by extrapolation. | |
| tech,11-6-A94-1017,ak | that we only need to implement the <term> | ER | </term> for <term> expressions </term> including | #26194 Our study has concluded that we only need to implement theER for expressions including a frequent word on APs. | |
| tech,5-7-A94-1017,ak | Experimental results show that the <term> | ER | </term> can be drastically speeded up . Moreover | #26209 Experimental results show that theER can be drastically speeded up. | |
| tech,6-1-A94-1017,ak | This paper proposes a model using <term> | associative processors ( APs ) | </term> for <term> real-time spoken language | #26084 This paper proposes a model usingassociative processors ( APs ) for real-time spoken language translation. | |
| model,19-3-A94-1017,ak | translates a <term> sentence </term> utilizing <term> | examples | </term> effectively and performs accurate | #26132 We have already proposed a model, TDMT (Transfer-Driven Machine Translation), that translates a sentence utilizingexamples effectively and performs accurate structural disambiguation and target word selection. |
