| W06-1607 | very few publications describe | phrasetable smoothing | techniques in detail . In this |
| W06-1607 | which has no direct analog in | phrasetable smoothing | . • The predicted objects |
| W06-1607 | order to measure the benefit of | phrasetable smoothing | for relatively small corpora |
| W06-3118 | involved the use of a Kneser-Ney | phrasetable smoothing | algorithm as an alternative to |
| W06-1607 | last word in the context . For | phrasetable smoothing | , because no word in t˜ |
| W06-1607 | Future Work We tested different | phrasetable smoothing | techniques in two different translation |
| W06-1607 | surface : many other combinations of | phrasetable smoothing | techniques remain to be tested |
| W06-1607 | these special features of the | phrasetable smoothing | problem , and give evaluations |
| W06-1607 | smoothing . Glass-box methods for | phrasetable smoothing | have been described by other |
| W06-1607 | Language Weaver Inc. . <title> | Phrasetable Smoothing | for Statistical Machine Translation |
| W06-1607 | give experimental results for | phrasetable smoothing | techniques analogous to Good-Turing |
| W06-1607 | Goodman , 1998 ; Goodman , 2001 ) . | Phrasetable smoothing | differs from ngram LM smoothing |
| W06-1607 | that it allows one to implement | phrasetable smoothing | techniques that are analogous |
