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A Structured Prediction Approach for Statistical Machine Translation
... The two widely known situations that cannot be described by ITGs are called “inside-out” transpo- sitions (Figure 3 a & b). Since they cannot be de- composed in ITGs, we consider them as basic units. In this case, ... See full document
6
Language Model Adaptation for Statistical Machine Translation via Structured Query Models
... contains translation candidates, and thus is more informative than Q T 1 ...2.2.3 Translation Model as a Query Model To fully leverage the available knowledge from the translation system, the ... See full document
7
Distilling Knowledge for Search based Structured Prediction
... We conduct our experiments on a small ma- chine translation dataset, which is the German- to-English portion of the IWSLT 2014 machine translation evaluation campaign. The dataset con- tains around ... See full document
10
Linguistically Augmented Bulgarian to English Statistical Machine Translation Model
... augmented statistical machine translation model from Bulgarian to English, which combines a statistical machine translation (SMT) system (as backbone) with deep lin- guistic ... See full document
10
A Discriminative Approach for Dependency Based Statistical Machine Translation
... for Machine Translation (MT) have gained popularity in recent times be- cause of their ability to handle long distance re- orderings (Wu, 1997; Yamada and Knight, 2002; Quirk et ... See full document
9
On Statistical Machine Translation and Translation Theory
... Most current approaches to SMT are founded on word alignments in the spirit of Brown et al. (1990). These word alignments have no clear theoretical status, but they can be seen as an embodiment of a fairly traditional ... See full document
5
Reinforcement Learning for Bandit Neural Machine Translation with Simulated Human Feedback
... chine translation (Bahdanau et ...general structured prediction under ban- dit feedback (Chang et ...learning approach closely related to ours but requires a policy-mixing strategy and only ... See full document
11
Urdu to English Machine Translation using Bilingual Evaluation Understudy
... is Statistical Machine Translation ...in machine translation between languages with significant word order differences ...Based Machine Translation (EBMT) that translates ... See full document
8
The Alignment Template Approach to Statistical Machine Translation
... Figure 7 shows a structogram of the algorithm. As the search space increases expo- nentially, it is not possible to explicitly represent it. Therefore, we represent the search space implicitly, using the functions Extend ... See full document
33
A Ranking based Approach to Word Reordering for Statistical Machine Translation
... in statistical machine translation re- ...simple approach, which utilizes a ranking model based on word or- der precedence in the target language to repo- sition nodes in the syntactic parse ... See full document
9
A Probabilistic Approach to Syntax based Reordering for Statistical Machine Translation
... iment setting, the best distortion limit for Chinese- English translation is 4. However, some ideal trans- lations exhibit reorderings longer than such distor- tion limit. Consider the sentence pair in NIST MT- ... See full document
8
Pivot Language Approach for Phrase Based Statistical Machine Translation
... Callison-Burch et al. (2006) used pivot lan- guages for paraphrase extraction to handle the un- seen phrases for phrase-based SMT. Borin (2000) and Wang et al. (2006) used pivot languages to improve word alignment. Borin ... See full document
8
Rule Based Transliteration Scheme for English to Punjabi
... of machine translation. In this paper we are doing machine transliteration for English-Punjabi language pair using rule based ...a statistical machine translation toolkit known ... See full document
7
A Finite State Approach to Phrase Based Statistical Machine Translation
... the translation edit rate (TER), and it has become popular because it takes into ac- count the basic post-process operations that profes- sional translators usually do during their daily ... See full document
9
Locally Non Linear Learning for Statistical Machine Translation via Discretization and Structured Regularization
... tical machine translation; however, linear de- cision rules are less attractive from a modeling ...phrasal translation probability in favor of raw ...better translation quality compared to the ... See full document
12
A Statistical Approach to Sense Disambiguation in Machine Translation
... A Statistical Approach to Sense Disambiguation in Machine Translation A S t a t i s t i c a l A p p r o a c h t o S e n s e D i s a m b i g u a t i o n i n M a c h i n e T r a n s l a t i o n Peter F[.] ... See full document
6
A Statistical Approach to Machine Translation
... Although the interaction of these two factors can be quite profound, it may help the reader to think o f the translation probability as suggesting words from the source language t h at m[r] ... See full document
7
Phrase Based Statistical Machine Translation: A Level of Detail Approach
... phrase-based statistical machine translation is often reduced by the complexity to construct ...phrase-based statistical machine translation, namely: the size of the phrase ... See full document
12
A Localized Prediction Model for Statistical Machine Translation
... The focus of this paper is to investigate issues in dis- criminative training of decoder parameters. Instead of di- rectly minimizing error as in earlier work (Och, 2003), we decompose the decoding process into a ... See full document
8
Learning to Stop in Structured Prediction for Neural Machine Translation
... when the model score of underlength translation candidates are greater than the b + 1 candidate by a margin. In this way, we penalize all the short hypotheses during training time. Note that during both training ... See full document
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