[PDF] Top 20 Reordering Model for Forest to String Machine Translation
Has 10000 "Reordering Model for Forest to String Machine Translation" found on our website. Below are the top 20 most common "Reordering Model for Forest to String Machine Translation".
Reordering Model for Forest to String Machine Translation
... of model features including rule translation prob- abilities, general lexical and provenance transla- tion probabilities, language model, and a vari- ety of sparse ... See full document
6
Travatar: A Forest to String Machine Translation Engine based on Tree Transducers
... a forest-to-string machine translation (MT) engine based on tree ...entire forest-to-string MT pipeline, including rule extraction, tuning, decod- ing, and ...for model ... See full document
6
A Tree to String Phrase based Model for Statistical Machine Translation
... word reordering in the preprocessing phase but not decoding ...syntactic reordering models based on PCFGs can be learned from source-parsed bitext and then applied in the preprocessing ...the ... See full document
8
Maximum Entropy Based Phrase Reordering Model for Statistical Machine Translation
... Why do we use the first words as features? These words are nicely at the boundary of blocks. One of assumptions of phrase-based SMT is that phrase cohere across two languages (Fox, 2002), which means phrases in one ... See full document
8
A Unified Model for Soft Linguistic Reordering Constraints in Statistical Machine Translation
... gold reordering type ex- tracted from the four reference ...syntactic reordering types significantly improves the performance ...semantic reordering types is still small ...mantic reordering ... See full document
11
Forest to String Statistical Translation Rules
... propose forest-to-string rules to enhance the expressive power of tree-to-string translation ...A forest- to-string rule is capable of capturing non- syntactic phrase pairs by ... See full document
8
A Direct Syntax Driven Reordering Model for Phrase Based Machine Translation
... The Model errors are due to two ...the model has learned to reorder the ‘PP VP’ structure but there is not much data for ‘PP ADVP ...The model fails to jump over PP into ... See full document
9
Hierarchical Phrase based Machine Translation with Word based Reordering Model
... phrase-based machine trans- lation can capture global reordering with synchronous context-free grammar, but has little ability to evaluate the correctness of word orderings during ...word-based ... See full document
8
Word reordering for Statistical Machine Translation Using Trigram Language Model
... cal machine translation, but independently from the target language generating pro- ...this model, a permuted sentence is given and the goal is to recover the correct ...statistical machine ... See full document
6
Advancements in Reordering Models for Statistical Machine Translation
... hard reordering decision, the author uses the rules as soft constraints in the ...jump model is added which uses the reordered source sentence to calculate the ... See full document
11
A Lightweight Evaluation Framework for Machine Translation Reordering
... of translation quality and a reordering-only metric independently of lexical ...many machine trans- lation systems (including our own) assume that re- ordering and translation can be factored ... See full document
10
Adaptation of Reordering Models for Statistical Machine Translation
... a reordering model (RM) that indicates how the order of words in the source sentence is likely to influence the order of words in the target ...best translation practice differs widely across genres, ... See full document
9
A Novel Reordering Model Based on Multi layer Phrase for Statistical Machine Translation
... phrase-based reordering models are designed to reorder contiguous ...of reordering models, a contiguous phrase is reordered as a unit and the movements of phrase don’t involve insertions inside the oth- er ... See full document
9
Reordering Model Using Syntactic Information of a Source Tree for Statistical Machine Translation
... word reordering model using syntactic information of a source tree for phrase-based statistical machine ...proposed model is an extension of the IST-ITG con- ...ordering model fix the ... See full document
9
String to Dependency Statistical Machine Translation
... The other extreme would be to allow only complete (CFG)constituents. This offers a more robust model and a small search space, but excludes many useful transfer rules. In our system, the target side hypotheses are ... See full document
24
Shift Reduce Word Reordering for Machine Translation
... whose model is trained with a set of HFE ...(2012)’s model and ours is that while the former simply used the Berkeley parser (Petrov and Klein, 2007), our shift-reduce parsing model can use such ... See full document
5
Chinese Syntactic Reordering for Statistical Machine Translation
... English translation. Such distortions in the word reordering will be quite difficult for the word or phrase-based alignment model to ...a reordering rule to reposition the child CP after its ... See full document
9
A Clustered Global Phrase Reordering Model for Statistical Machine Translation
... ordering model that can be incorporated into standard phrase-based statistical ma- chine ...local reordering models that emphasize the re- ordering of adjacent phrase pairs (Till- mann and Zhang, 2005), our ... See full document
8
Learning Bilingual Linguistic Reordering Model for Statistical Machine Translation
... However, current BTG-based reordering meth- ods have been limited by the features used. Infor- mation might not be sufficient or representative, if only the first (or tail) words are used as features. For example, ... See full document
9
Sentence Type Based Reordering Model for Statistical Machine Translation
... Some readers may argue that the features to distinguish the sentence types are very obvious in Chinese. For example, “ ? ” can easily sepa- rate the interrogative sentences from non- question sentences. In this case, a ... See full document
8
Related subjects