As in CLEF 2003, Berkeley experimented with the CLEF Russian Izvestia document collection with monolingual and bilingual runs for the Russian collection. For CLEF 2004 we also expe...
The paper describes a particular approach to multiengine machine translation (MEMT), where we make use of voted language models to selectively combine translation outputs from mul...
We present an approach to MT between Turkic languages and present results from an implementation of a MT system from Turkmen to Turkish. Our approach relies on ambiguous lexical a...
Translating documents from a source to a target language is a repetitive activity. The attempt to automate such a difficult task has been a long-term scientific dream. Among the...
Federica Mandreoli, Riccardo Martoglia, Paolo Tibe...
The intersection of tree transducer-based translation models with n-gram language models results in huge dynamic programs for machine translation decoding. We propose a multipass,...