[PDF] Top 20 Bayesian Word Alignment for Statistical Machine Translation
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Bayesian Word Alignment for Statistical Machine Translation
... fully Bayesian in which the alignment probabilities are inferred by integrating over all possible parameter values as- suming an intuitive, sparse ...order alignment models, and (2) many ... See full document
6
Weighted Alignment Matrices for Statistical Machine Translation
... Therefore, we enumerate all potential phrase pairs and calculate their fractional counts for eliminating less promising candidates. Figure 3 shows the algorithm for extracting phrases from a weighted matrix. The input of ... See full document
10
Online Word Alignment for Online Adaptive Machine Translation
... Assisted Translation scenario is the integration of Machine Translation (MT) systems that adapt sentence after sentence to the post- edits made by the ...the word alignment between ... See full document
9
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
The Alignment Template Approach to Statistical Machine Translation
... Machine translation (MT) is a hard problem, because natural languages are highly complex, many words have various meanings and different possible translations, sen- tences might have various readings, and ... See full document
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Symmetric Word Alignments for Statistical Machine Translation
... the alignment qual- ity on the Canadian Hansards task are less ...reliable alignment points are fa- ...and word order between French and English are not as dramatic as ...empty word ... See full document
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A Comparison of Alignment Models for Statistical Machine Translation
... paper dvi A Comparison of Alignment Models for Statistical Machine Translation Franz Josef Och and Hermann Ney Lehrstuhl f?ur Informatik VI, Computer Science Department RWTH Aachen University of Techn[.] ... See full document
5
Enhancing Statistical Machine Translation with Character Alignment
... and translation features, which are exten- sively used by many state-of-the-art word ...w.r.t. translation features grows linearly with ...character alignment model has a compact ... See full document
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Application of Clause Alignment for Statistical Machine Translation
... ing statistical techniques and shallow linguistic pro- cessing applied on a bilingual parallel corpus of software documentation which is sentence-aligned, POS-tagged and shallow ...clause alignment based on ... See full document
9
Saliency driven Word Alignment Interpretation for Neural Machine Translation
... ral word alignment modules decoupled from NMT systems, while Zenkel et ...extract alignment from NMT decoder states, with which they achieved compara- ble AER with fast-align with Transformer ... See full document
12
Word Sense Disambiguation Improves Statistical Machine Translation
... by the WSD system were used for each sentence. When limited to the set of 374 sentences which were judged by the Collins sign-test to have better translations from Hiero+WSD than from Hiero, a higher number (11.14) of ... See full document
8
Clustered Word Classes for Preordering in Statistical Machine Translation
... Clustered word classes have been used in connection with statistical machine transla- tion, for instance for improving word align- ...tered word classes can be used in a pre- ordering ... See full document
7
Context Dependent Alignment Models for Statistical Machine Translation
... HMM alignment models, which use context information in the source language to improve estimates of word- to-word translation ...source word contexts based on optimisation of the EM ... See full document
9
Tree to String Alignment Template for Statistical Machine Translation
... same word-aligned training data, it took us about one month to parse all the 31, 149 Chi- nese sentences using a Chinese parser written by Deyi Xiong (Xiong et ... See full document
8
On the Word Alignment from Neural Machine Translation
... the word align- ment from ...capture word alignment for an NMT model with multiple attentional ...acquire word alignment which are agnostic to specific NMT ...from word ... See full document
11
A Hybrid Word Alignment Model for Phrase Based Statistical Machine Translation
... a statistical word alignment tool which incorporates all the IBM 1-5 ...of statistical machine translation (SMT) ...of word alignments is typically quite low and it also ... See full document
8
Squibs and Discussions: Measuring Word Alignment Quality for Statistical Machine Translation
... measuring alignment quality for phrasal SMT, similar work is now required to see how to measure alignment quality for other settings of machine translation and for other ... See full document
12
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
Unsupervised Alignment for Segmental based Language Understanding
... One of the very first step to build a spoken language understanding (SLU) module for dialogue systems is the extraction of literal concepts from word se- quences hypothesised by a speech recogniser. To address ... See full document
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