| tech,33-3-P05-1058,ak | <term> models </term> to improve the <term> | domain-specific word alignment | </term> . Experimental results show that | #9750 In this paper, we first train two statistical word alignment models with the large-scale out-of-domain corpus and the small-scale in-domain corpus respectively, and then interpolate these two models to improve the domain-specific word alignment . | |
| tech,7-4-P05-1058,ak | results show that our approach improves <term> | domain-specific word alignment | </term> in terms of both <term> precision </term> | #9761 Experimental results show that our approach improves domain-specific word alignment in terms of both precision and recall, achieving a relative error rate reduction of 6.56% as compared with the state-of-the-art technologies. |
