We report results of our submissions to the WMT 2010 shared translation task in which we applied a system that includes adaptive language and translation models. Adaptation is implemented using exponentially decaying caches storing previous translations as the history for new predictions. Evidence from the cache is then mixed with the global background model. The main problem in this setup is error propagation and our submissions essentially failed to improve over the competitive baseline. There are slight improvements in lexical choice but the global performance decreases in terms of BLEU scores.
|Title of host publication||Unknown host publication|
|Number of pages||6|
|Publication date||1 Jul 2010|
|Publication status||Published - 1 Jul 2010|
|MoE publication type||A4 Article in conference proceedings|
|Event||Unknown host publication - , International|
Duration: 1 Jan 1800 → …