Low-resource machine translation using MATREX: The DCU machine translation system for IWSLT 2009
Ma, Yanjun and Okita , Tsuyoshi and Cetinoglu, Ozlem and Du, Jinhua and Way, Andy (2009) Low-resource machine translation using MATREX: The DCU machine translation system for IWSLT 2009. In: the IWSLT 2009 Workshop (IWSLT 2009) , 1-2 Dec. 2009, Tokyo, Japan.
Full text available as:
In this paper, we give a description of the Machine Translation (MT) system developed at DCU that was used for our fourth participation in the evaluation campaign of the International Workshop on Spoken Language Translation (IWSLT 2009). Two techniques are deployed in our system in order to improve the translation quality in a low-resource scenario. The first technique is to use multiple segmentations in MT training and to utilise word lattices in decoding stage. The second technique is used to select the optimal training data that can be used to build MT systems. In this year’s participation, we use three different prototype SMT systems, and the output from each system are combined using standard system combination method. Our system is the top system for Chinese–English CHALLENGE task in terms of BLEU score.
Archive Staff Only: edit this record