Source-Language Entailment Modeling for Translating Unknown Terms.
This paper addresses the task of handling unknown terms in SMT. We propose us- ing source-language monolingual models and resources to paraphrase the source text prior to translation. We further present a conceptual extension to prior work by al- lowing translations of entailed texts rather than paraphrases only. A method for performing this process efﬁciently is pre- sented and applied to some 2500 sentences with unknown terms. Our experiments show that the proposed approach substan- tially increases the number of properly translated texts.