On Hierarchical Re-ordering and Permutation Parsing for Phrase-based Decoding
Code (0)
등록된 구현이 없습니다.
Tasks
Machine TranslationSimilar Papers 제목 키워드 기반
Dynamically Shaping the Reordering Search Space of Phrase-Based Statistical Machine Translation
Defining the reordering search space is a crucial issue in phrase-based SMT between distant languages. In fact, the optimal trade-off between accuracy and complexity of decoding is nowadays reached by harshly limiting th…
DecoderMachine TranslationTranslationLexicalized Reordering for Left-to-Right Hierarchical Phrase-based Translation
Phrase-based and hierarchical phrase-based (Hiero) translation models differ radically in the way reordering is modeled. Lexicalized reordering models play an important role in phrase-based MT and such models have been a…
Language ModelingLanguage ModellingMachine TranslationTranslationPhrase-based Machine Translation using Multiple Preordering Candidates
In this paper, we propose a new decoding method for phrase-based statistical machine translation which directly uses multiple preordering candidates as a graph structure. Compared with previous phrase-based decoding meth…
DecoderMachine TranslationTranslationA Hierarchical Transformer for Unsupervised Parsing
The underlying structure of natural language is hierarchical; words combine into phrases, which in turn form clauses. An awareness of this hierarchical structure can aid machine learning models in performing many linguis…
Language ModellingWhich Words Matter in Defining Phrase Reordering Behavior in Statistical Machine Translation?
Lexicalized and hierarchical reordering models use relative frequencies of fully lexicalized phrase pairs to learn phrase reordering distributions. This results in unreliable estimation for infrequent phrase pairs which …
Language ModellingMachine TranslationTranslation