| W07-0716 | English . Generating paraphrases via | English-to-English translation | makes use of a parallel corpus |
| S13-1027 | all pivot Arabic phrases . Then | English-to-English translation | probabilities are normalized |
| W07-0716 | mappings to create a well defined | English-to-English translation | model . The parameters of this |
| P11-2117 | problem of text simplification as an | English-to-English translation | problem . Motivated by the importance |
| W07-0716 | paraphrasing approach based on | English-to-English translation | , we evaluated its use in improving |
| J06-2003 | evaluation method can be considered as | English-to-English translation | via meaning representation . |
| J10-3003 | grammar in order to define an | English-to-English translation | model . Features for each monolingual |
| W07-0716 | via 1-best decoding using the | English-to-English translation | approach of Section 3 . As our |
| W11-1601 | sentence simplification problem as an | English-to-English translation | problem , utilizing a corpus |
| D11-1038 | sentence simplification as an | English-to-English translation | problem and use an off-the-shelf |
| W97-0410 | analysis and generation grammars for | English-to-English translation | ( or para - phrase ) using the |
| J10-3003 | acquisition with a well-defined | English-to-English translation | model that is then used in an |
| D11-1108 | this , paraphrasing becomes an | English-to-English translation | problem which can be formulated |
| W07-0716 | paraphrases as the tuning set for | English-to-English translation | . We used the 2002 NIST MT evaluation |
| W07-0716 | paraphrase for English as a problem of | English-to-English translation | , constructing the model using |
| W07-0716 | paraphrasing technique based on | English-to-English translation | of full sentences using a statistical |
