[PDF] Top 20 The Alignment Template Approach to Statistical Machine Translation
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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
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Improved Alignment Models for Statistical Machine Translation
... The results of the translation experiments using the single-word based approach and the alignment template approach on text input and on speech input are summarized in Table 2.. The resu[r] ... See full document
9
A Structured Prediction Approach for Statistical Machine Translation
... Statistical Machine Translation (SMT) is attract- ing more attentions than rule-based and example- based methods because of the availability of large training corpora and automatic ... See full document
6
Using Reordering in Statistical Machine Translation based on Alignment Block Classification
... our approach, we introduce order modifications to the source corpora so that alignments and translation become more monotonic by using the alignment information and a classification ... See full document
6
Improving Statistical MT through Morphological Analysis
... In statistical machine translation, estimat- ing word-to-word alignment probabilities for the translation model can be difficult due to the problem of sparse data: most words in a given ... See full document
8
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
Extracting Parallel Phrases from Comparable Data
... promising approach for overcoming the data sparseness in statistical machine trans- lation and other NLP ...phrase alignment approaches to detect paral- lel phrase pairs embedded in comparable ... See full document
8
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
Context Dependent Alignment Models for Statistical Machine Translation
... tion. HiFST, a WFST-based hierarchical translation sys- tem described in (Iglesias et al., 2009), was trained on the union of these alignments. MET (Och, 2003) was carried out using a development set, and the BLEU ... See full document
9
Simultaneous Word Morpheme Alignment for Statistical Machine Translation
... new alignment problem defined over their morphemes. The new alignment problem is constrained by the given word ...bag-of-morphemes approach to this new ... See full document
9
A Dynamic Technique for Speech Optimization and Speech-To-Speech Linguistic Translation
... Statistical approach underwent a lot of criticism as it was considered that notion of ‘probability of a sentence’ is a useless ...that statistical approach dealt with the problem of taking ... See full document
8
Event and Event Actor Alignment in Phrase Based Statistical Machine Translation
... cal translation model has been developed which has been trained with the same EILMT tourism domain corpus of 22,492 ...the alignment details are also availa- ...the translation of either the event or ... See full document
9
Improving Statistical Word Alignment with a Rule Based Machine Translation System
... in statistical machine transla- tion (SMT) (Brown et ...in translation lexicon building (Melamed 1996), transfer rule learning (Menezes and Richardson 2001), example-based machine ... See full document
7
A Hybrid Word Alignment Model for Phrase Based Statistical Machine Translation
... word alignment quality by combining three word alignment tables (i) GIZA++ alignment (ii) Berkeley Alignment and (iii) rule based align- ...word alignment by improving the quality of ... See full document
8
Squibs and Discussions: Measuring Word Alignment Quality for Statistical Machine Translation
... To generate word alignments we use GIZA++ (Och and Ney 2003), which im- plements both the IBM Models of Brown et al. (1993) and the HMM model (Vogel, Ney, and Tillmann 1996). We use Model 1, HMM, and Model 4, in that ... See full document
12
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 Statistical Approach to Machine Aided Translation of Terminology Banks
... A Statistical Approach to Machine Aided Translation of Terminology Banks A Statistical A p p r o a c h to Machine Aided Translation o f Terminology Banks Jyun Sheng Chang Department of Computer Scienc[.] ... See full document
5
HMM Word and Phrase Alignment for Statistical Machine Translation
... the alignment of words and phrases in ...word alignment performance is comparable to that of IBM Model-4 even over large training ...phrase-based translation, and in Chinese to English and Arabic to ... See full document
8
Application of Clause Alignment for Statistical Machine Translation
... clause alignment is modelled as a bipartite ...clause alignment is the task of the identification of the edges in a bipartite graph, where the nodes are the clauses (Brown et ...clause alignment that ... See full document
9
Bayesian Word Alignment for Statistical Machine Translation
... Our approach in this paper is fully Bayesian in which the alignment probabilities are inferred by integrating over all possible parameter values as- suming an intuitive, sparse ...order alignment ... See full document
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