Context Adaptation in Statistical Machine Translation Using Models with Exponentially Decaying Cache
Jörg Tiedemann · 2010
We report results from a domain adaptation task for statistical machine translation (SMT) using cache-based adaptive language and translation models. We apply an exponential decay factor and integrate the cache models in a standard phrasebased SMT decoder. Without the need for any domain-specific resources we obtain a 2.6 % relative improvement on average in BLEU scores using our dynamic adaptation procedure. 1