Interlocking Phrases in Phrase-based Statistical Machine Translation
Code (0)
등록된 구현이 없습니다.
Tasks
Language ModelingLanguage ModellingMachine TranslationTranslationSimilar Papers 제목 키워드 기반
Translating Phrases in Neural Machine Translation
Phrases play an important role in natural language understanding and machine translation (Sag et al., 2002; Villavicencio et al., 2005). However, it is difficult to integrate them into current neural machine translation …
DecoderMachine TranslationNatural Language UnderstandingNMT+1Beyond Word-based Language Model in Statistical Machine Translation
Language model is one of the most important modules in statistical machine translation and currently the word-based language model dominants this community. However, many translation models (e.g. phrase-based models) gen…
Language ModelingLanguage ModellingMachine TranslationTranslationLearning to Generate Word- and Phrase-Embeddings for Efficient Phrase-Based Neural Machine Translation
Neural machine translation (NMT) often fails in one-to-many translation, e.g., in the translation of multi-word expressions, compounds, and collocations. To improve the translation of phrases, phrase-based NMT systems ha…
DecoderMachine TranslationNMTTranslationMulti-Granularity Self-Attention for Neural Machine Translation
Current state-of-the-art neural machine translation (NMT) uses a deep multi-head self-attention network with no explicit phrase information. However, prior work on statistical machine translation has shown that extending…
Machine TranslationNMTTranslationImproved statistical machine translation using monolingual paraphrases
We propose a novel monolingual sentence paraphrasing method for augmenting the training data for statistical machine translation systems "for free" -- by creating it from data that is already available rather than having…
Machine TranslationSentenceTranslation