The paper describes the process bywhich theword alignment task performedwithin SOMAgentworks in collaboration with the statistical machine translation system in order to learn a phrase translation table. We studied improvements in the quality of translation using syntax augmentedmachine translation.We ccepted 16 August 2010

In goal oriented spoken language translation, an interlingua based approach has proven quite useful as it (1) reduces overall effort when multiple language pairs are required, (2) can provide a paraphrase of semantic equivalence in the input language, (3) abstracts away from the disfluencies of spoken language to express the speaker s intention. On the other hand, interlingua based systems are ...

We consider the problem of translating short messages (Tweets) using Europarl as a starting-point. After highlighting some of the domain differences between Europarl and Twitter, we show that for German-English translation, we can improve performance from a baseline BLEU score of 25.58 to 53.45. By far and away the single most important improvement is passing-through unknown words (which are ma...

This paper is based on the work carried out in the framework of the Verbmobil project, which is a limited-domain speech translation task (German-English). In the final evaluation, the statistical approach was found to perform best among five competing approaches. In this paper, we will further investigate the used statistical translation models. A shortcoming of the single-word based model is t...

The interest in statistical machine translation systems increases currently due to political and social events in the world. A proposed Statistical Machine Translation (SMT) based model that can be used to translate a sentence from the source Language (English) to the target language (Arabic) automatically through efficiently incorporating different statistical and Natural Language Processing (...

Al-Onaizan,Y. et-al, "Distortion models for statistical machine translation" , In Proceedings of ACL-COLING, July 2006,pp. 529 . . 536. Birch, A. et-al, "Constraining the phrase-based,joint probability statistical translation model", In Proceedings of HLTNAACL Workshop on Statistical Machine Translation, April 2006, pp 154 . . 157. Brown, P. F. et-al, "The mathematics o...

Machine Translation Evaluation Metrics (MTEMs) are the central core of Machine Translation (MT) engines as they are developed based on frequent evaluation. Although MTEMs are widespread today, their validity and quality for many languages is still under question. The aim of this research study was to examine the validity and assess the quality of MTEMs from Lexical Similarity set on machine tra...