[PDF] Top 20 A Decoder for Syntax based Statistical MT
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A Decoder for Syntax based Statistical MT
... a syntax-based statistical machine ...is based on conventional syntactic parsing, and the grammar is expanded by the channel oper- ations of the ...the decoder considers mul- tiple ... See full document
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Deep syntax TectoMT for English Spanish MT
... On a second step, the lemma and morphosyntactic information on the a-tree must be turned into word forms to generate the w-tree. We used Flect (Duˇsek and Jurˇc´ıˇcek, 2013) to do this, by training new models for ... See full document
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Does String Based Neural MT Learn Source Syntax?
... retrained decoder for predicting a lin- earized parse tree is a highly non-linear ...conclusions based only on absolute per- formance values, but also on a comparison against the designed baseline ... See full document
9
Syntax Based Word Ordering Incorporating a Large Scale Language Model
... the syntax-based generation system is weakly analogous to N -gram model insertion for syntax-based statistical machine translation sys- tems, both of which apply a score from the N - ... See full document
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Maximum Entropy based Rule Selection Model for Syntax based Statistical Machine Translation
... The MERS models combines rich contextual in- formation as features to help the decoder perform rule selection. Table 4 shows the effect of different feature sets. We test two classes of feature sets: the single ... See full document
9
Syntax Based Reordering with Automatically Derived Rules for Improved Statistical Machine Translation
... extracted based on a union of HMM and max- ent alignments with corpus-selective count prun- ...The decoder uses a 5-gram in- terpolated language model spanning the various domains mentioned ... See full document
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A Probabilistic Approach to Syntax based Reordering for Statistical Machine Translation
... practice syntax-based reordering also helps lo- cal ...of syntax-based global reordering, a phrase-based decoder performs better even with respect to local ...because ... See full document
8
Fast Translation Rule Matching for Syntax based Statistical Machine Translation
... linguistically-motivated syntax-based trans- lation system, the entire translation process is normally carried out in two steps, translation rule matching and target sentence decoding us- ing the matched ... See full document
9
Syntax aware Phrase based Statistical Machine Translation: System Description
... • Fluency. Simple length-based normalization of joint n-gram probabilities is problematic. It entices the decoder to “throw in” additional, highly frequent words to increase the language model score. ... See full document
6
Docent: A Document Level Decoder for Phrase Based Statistical Machine Translation
... DP-based SMT decoders have a parameter called distortion limit that limits the difference in word order between the input and the MT out- put. In DP search, this is formally considered to be a parameter of ... See full document
6
Machine Translation Using Probabilistic Synchronous Dependency Insertion Grammars
... Syntax-based statistical machine transla- tion (MT) aims at applying statistical models to structured ...a syntax-based statistical ma- chine translation system ... See full document
8
Decoder based Discriminative Training of Phrase Segmentation for Statistical Machine Translation
... of decoder based phrase segmentation and a new algorithm which can iteratively train the segmentation ...segmentation based on the evaluation metric of the translation ...the ... See full document
10
Decoding with Syntactic and Non Syntactic Phrases in a Syntax Based Machine Translation System
... and syntax-driven phrases from a parallel corpus that is two orders of magnitude larger, making our system competitive in size to state-of-the-art SMT systems ...existing statistical word alignments, rather ... See full document
9
What Can Syntax Based MT Learn from Phrase Based MT?
... The Alignment Template system (ATS) described by Och and Ney (2004) is representative of statistical phrase-based models. The basic unit of translation is the phrase pair, which consists of a sequence of ... See full document
9
A Systematic Comparison of Phrase Based, Hierarchical and Syntax Augmented Statistical MT
... Augmented MT (SAMT) (Zollmann and Venugopal, 2006) extends Chiang (2005) to in- clude nonterminal symbols from target language phrase structure parse ...symbols based on the target side parse tree ... See full document
8
Improved Features and Grammar Selection for Syntax Based MT
... the statistical transfer MT group at Carnegie Mellon University has expanded in recent years to the in- creasingly successful domain of syntax-based sta- tistical MT in large-data ...a ... See full document
6
WTMED at MEDIQA 2019: A Hybrid Approach to Biomedical Natural Language Inference
... model, MT- DNN (Liu et al., 2019c), as the text encoder in our base model. MT-DNN is based on BERT (Devlin et ...objective, MT-DNN allows a more general and powerful representation for natural ... See full document
12
Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing
... Maximum Entropy based Rule Selection Model for Syntax-based Statistical Machine Translation Qun Liu, Zhongjun He, Yang Liu and Shouxun Lin.. Indirect-HMM-based Hypothesis Alignment for C[r] ... See full document
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A Study of Translation Rule Classification for Syntax based Statistical Machine Translation
... phrase based SMT models is that they can not effectively model the discontiguous translations and numerous at- tempts have been made on this issue (Simard et ... See full document
6
Design of a hybrid high quality machine translation system
... problematic MWEs and grammatical constructions, identified in Step 9. For this we will exploit alignment between source-language sentences and gold-standard human translations. In the target human translations we will ... See full document
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