| C04-1059 | be used to guide the language | model adaptation | process . As introduced in section |
| D08-1090 | selection of comparable text for | model adaptation | in section 2 . In sections 3.1 |
| C04-1059 | retrieve the data for language | model adaptation | gives an improvement over using |
| D08-1090 | describing the application of | model adaptation | to a hierarchical Arabic-to-English |
| C04-1059 | explore unsupervised language | model adaptation | techniques for Statistical Machine |
| C04-1059 | Sentence Retrieval Our language | model adaptation | is an unsupervised data augmentation |
| C04-1059 | this paper , we studied language | model adaptation | for statistical machine translation |
| C04-1059 | using more sentences for language | model adaptation | . The effect is more pronounced |
| D08-1090 | 3.1 and 3.2 , we describe the | model adaptation | for the language model and translation |
| C04-1059 | improvements using this language | model adaptation | technique . The oracle experiment |
| D08-1090 | translation model . Translation | model adaptation | using comparable out-of-domain |
| C04-1059 | in practice . <title> Language | Model Adaptation | for Statistical Machine Translation |
| C04-1059 | used specially for our language | model adaptation | : Sum Operator : #sum ( 1 t ... |
| D08-1090 | bias text , and for translation | model adaptation | we use additional phrasal translation |
| D08-1090 | translation rules . 3.1 Language | Model Adaptation | For every source document , we |
| D08-1090 | added to the system with language | model adaptation | . Because the bias text is extracted |
| D08-1090 | that , unlike the translation | model adaptation | described in section 3.2 , no |
| C04-1059 | . Figure-2 shows the language | model adaptation | after tuning the interpolation |
| D08-1090 | different approach to translation | model adaptation | using comparable monolingual |
| D08-1090 | translation model . For language | model adaptation | , we increase the probability |
