Параллельные обучающие данные

. Most current Machine Translation (MT) systems do not improve with feedback from post-editors beyond the addition of corrected translations to parallel training data (for statistical and example-base MT) or …...

Example-Based Machine Translation (EBMT), like other corpus based methods, requires substantial parallel training data. One way to reduce data requirements and improve translation quality is to generalize parts of the …...

This paper describes the statistical machine translation system submitted to the WMT11 Featured Translation Task, which involves translating Haitian Creole SMS messages into English. In our experiments we try to …...

Statistical Machine Translation (SMT) is a well-known and well established data- driven approach used for language trans- lation. The focus of this work is to de- velop a statistical machine …...

The multilingual Paraphrase Database (PPDB) is a freely available automatically created resource of paraphrases in mul- tiple languages. In statistical machine translation, paraphrases can be used to provide translation for …...

We participated in the WMT 2016 shared news translation task on English ↔ Chi- nese language pair. Our systems are based on the encoder-decoder neural machine translation model with the …...

AbstractNatural language understanding (NLU) and natural language generation (NLG) are two fundamental and related tasks in building task-oriented dialogue systems with opposite objectives: NLU tackles the transformation from natural language …...