[PDF] Top 20 Greedy Decoding for Statistical Machine Translation in Almost Linear Time
Has 10000 "Greedy Decoding for Statistical Machine Translation in Almost Linear Time" found on our website. Below are the top 20 most common "Greedy Decoding for Statistical Machine Translation in Almost Linear Time".
Greedy Decoding for Statistical Machine Translation in Almost Linear Time
... Secondly, from the swapping experiment we conclude that except for very local word reorderings, neither the IBM models nor the BLEU metric are able to recognize long distance dependencies (such as, for example, ac- ... See full document
8
An Algorithmic Framework for Solving the Decoding Problem in Statistical Machine Translation
... The decoding problem in Statistical Ma- chine Translation (SMT) is a computation- ally hard combinatorial optimization prob- ...the decoding problem. A fam- ily of provably fast ... See full document
7
Incremental Decoding for Phrase Based Statistical Machine Translation
... while decoding for each newly added ...mental decoding is provided new input one word at at time, some of the entries that were pruned out at an earlier decoder state might later turn out to better ... See full document
8
Correlating decoding events with errors in Statistical Machine Translation
... uses decoding features in a sentence-level pairwise classification approach for Hybrid MT in order to select the best translations out of outputs produced by statistical and rule- based systems, whereas a ... See full document
10
Multi Pass Decoding With Complex Feature Guidance for Statistical Machine Translation
... In Statistical Machine Translation, some complex features are still difficult to in- tegrate during decoding and usually used through the reranking of the k-best hy- potheses produced by the ... See full document
6
Minimum Bayes Risk Decoding for Statistical Machine Translation
... We now describe related training and search proce- dures for NLP that explicitly take into consideration task- specific performance metrics. Och (2003) developed a training procedure that incorporates various MT evalua- ... See full document
8
Cohesive Phrase Based Decoding for Statistical Machine Translation
... We first present our soft cohesion constraint’s ef- fect on BLEU score (Papineni et al., 2002) for both our dev-test and test sets. We compare against an unmodified baseline decoder, as well as a decoder enhanced with a ... See full document
9
Efficient Decoding for Statistical Machine Translation with a Fully Expanded WFST Model
... the translation prob- lem defined by Brown et ...proposed greedy type decoding ...the statistical model in systems can improve the search ... See full document
7
Exact decoding for phrase-based statistical machine translation
... the translation forest and the language model by expanding a limited beam of hypotheses from each nonterminal ...the time-accuracy trade-off of the ... See full document
14
A Syntactified Direct Translation Model with Linear time Decoding
... the linear decoding as- sumed in conventional Phrase–based SMT sys- ...a linear-time dependency parser that builds a con- nected tree incrementally into SMT systems with ... See full document
10
Fast Decoding and Optimal Decoding for Machine Translation
... good decoding algorithm is critical to the success of any statistical machine translation ...the translation that is most likely according to set of previously learned parameters (and a ... See full document
8
Exact Decoding for Phrase Based Statistical Machine Translation
... the translation forest and the language model by expanding a limited beam of hypotheses from each nonterminal ...the time-accuracy trade-off of the ... See full document
13
Document Wide Decoding for Phrase Based Statistical Machine Translation
... for decoding complete documents in phrase-based ...complete translation of an entire document at any ...the decoding algorithm and the state operations used by our decoder, then we present em- ... See full document
12
Bidirectional Decoding for Statistical Machine Translation
... the statistical machine translation (SMT), one of the problems of SMT is the search algorithms for the translation given a se- quence of ...stack decoding al- gorithm (Berger et ...the ... See full document
7
Non linear Learning for Statistical Machine Translation
... phrase-based translation system(Chiang, ...The translation quality is evalu- ated use 4-gram case-insensitive BLEU (Papineni et ...a linear activa- tion ... See full document
11
DFKI Hybrid Machine Translation System for WMT 2011 On the Integration of SMT and RBMT
... DFKI in 2010. In 2010’s translation system only Europarl parallel corpus was applied, and the trans- lation output was evaluated as 18.32% in the BLEU score. In 2011, we added the News Commentary parallel corpus ... See full document
5
Faster Decoding for Subword Level Phrase based SMT between Related Languages
... on translation between related languages that the increased length of subword level translation is challenge for training as well as decoding (Vilar et ...improved translation quality for ... See full document
7
A Polynomial Time Algorithm for Statistical Machine Translation
... The approach employs the stochastic bracketing transduction grammar SBTG model we recently introduced to replace earlier word alignment channel models, while retaining a bigram language [r] ... See full document
7
NiuTrans: An Open Source Toolkit for Phrase based and Syntax based Machine Translation
... in statistical machine translation, including the phrase-based model, the hierachical phrase-based model, and various syntax- based ...of decoding algrithms, such as phrase-based ... See full document
6
Fast and Scalable Decoding with Language Model Look Ahead for Phrase based Statistical Machine Translation
... The pre-sorting during phrase matching has two effects on the search algorithm. Firstly, it defines the order in which the hypothesis expansions take place. As higher scoring phrases are considered first, it is less ... See full document
5
Related subjects