Моделирование смеси

In Statistical Machine Translation, in- domain and out-of-domain training data are not always clearly delineated. This paper investigates how we can still use mixture-modeling techniques for domain adaptation in such …...

We present a novel approach for translation model (TM) adaptation using phrase train- ing. The proposed adaptation procedure is ini- tialized with a standard general-domain TM, which is then used …...

AbstractThis paper describes QCRI’s machine translation systems for the IWSLT 2016 evaluation campaign. We participated in the Arabic→English and English→Arabic tracks. We built both Phrase-based and Neural machine translation models, …...