Фараон

We present a statistical phrase-based transla- tion model that uses hierarchical phrases— phrases that contain subphrases. The model is formally a synchronous context-free gram- mar but is learned from a …...

AbstractAs an approach to syntax based statistical machine translation (SMT), Probabilistic Synchronous Dependency Insertion Grammars (PSDIG), introduced in (Ding and Palmer, 2005), are a version of synchronous grammars defined on …...

AbstractThis paper presents our study of exploiting morpho-syntactic information for phrase-based statistical machine translation (SMT). For morphological transformation, we use hand-crafted transformational rules. For syntactic transformation, we propose a transformational …...

We present here the translation system we used in this year’s WMT shared task. The main objective of our participation was to test RAMSES, an open source phrase- based decoder. …...

We present a novel translation model based on tree-to-string alignment template (TAT) which describes the alignment be- tween a source parse tree and a target string. A TAT is capable …...

AbstractThis paper describes the HKUST experiments in the IWSLT 2007 evaluation campaign on spoken language translation. Our primary objective was to compare the open-source phrase-based statistical machine translation toolkit Moses …...

We propose a novel syntax-based model for statistical machine translation in which meta-structure (MS) and meta-structure se- quence (SMS) of a parse tree are defined. In this framework, a parse …...