[PDF] Top 20 Refinements in BTG based Statistical Machine Translation
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Refinements in BTG based Statistical Machine Translation
... We conduct error analysis of the translation out- put of the baseline system and observe that Bruin sometimes incorrectly swaps two large neighboring blocks on the target side. This happens frequently when ... See full document
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Bidirectional Phrase based Statistical Machine Translation
... contemporary machine translation paradigm, and to experiment with a broader range of ...automatic translation of a sentence in a given language from a partic- ular ...include translation among ... See full document
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Supertagged Phrase Based Statistical Machine Translation
... In this section we present a number of experiments that demonstrate the effect of lexical syntax on trans- lation quality. We carried out experiments on the NIST open domain news translation task from Ara- bic ... See full document
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Statistical Phrase Based Post Editing
... databases, translation memories, machine translation and hu- man ...a translation memory of in- dividual sentence pairs from previously posted ads; another third of all text is typically found ... See full document
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AN OVERVIEW OF COMPUTATIONAL LINGUISTICS AND MALAYALAM
... few machine translation systems are also developed in Malayalam for translating Malayalam to English and vice versa but these are not offered to the ...are based on Rule Based Machine ... See full document
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Post Editing System For Statistical Machine Translation
... of machine translation outputs are where the authors successfully performed statistical post-editing (SPE) of rule-based machine translation ...massive translation quality ... See full document
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Cross Corpora Evaluation and Analysis of Grammatical Error Correction Models — Is Single Corpus Evaluation Enough?
... neural machine translation (NMT)- based models (LSTM, CNN, and transformer) and a statistical machine translation (SMT)- based model is evaluated against six learner ... See full document
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Stream based Translation Models for Statistical Machine Translation
... the translation and alignment probabilities for the HMM-based alignments, we employ the EM algo- rithm via dynamic ...or translation grammar rules using Model 1 and the HMM-based alignments ... See full document
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A Sense Based Translation Model for Statistical Machine Translation
... lexicon translation model into ...for translation and language model adapta- ...for translation model adaptation. Xiao et al. (2012) propose a topic-based similar- ity model for rule selection ... See full document
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Graph based Learning for Statistical Machine Translation
... The synthetic nodes and edges need to be added to prevent the label propagation algorithm from con- verging to the trivial solution that assigns r = 1 to all points in the graph. This choice is theoretically motivated—a ... See full document
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A machine translation system combining rule based machine translation and statistical post editing
... baseline translation is perfectly equal to the reference ...EIWA’s translation is more literal than baseline ...additional translation or scrambling of reference (Isozaki et ... See full document
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A Study of Translation Rule Classification for Syntax based Statistical Machine Translation
... numerous statistical machine trans- lation models which can utilize various kinds of translation rules are ...system. Based on this classification system, the rules are classi- fied according ... See full document
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Incorporating Word and Subword Units in Unsupervised Machine Translation Using Language Model Rescoring
... built based on the previously proposed unsupervised MT sys- tems, with some adaptations made to accom- modate the morphologically rich characteristics of German and Czech (Tsarfaty et ...chine translation ... See full document
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On Statistical Machine Translation and Translation Theory
... The cross-linguistic relation defined by word alignments is a sort of translational equivalence re- lation. It maps linguistic elements of the SL to ele- ments of the TL that are presumed to have the same meaning, or ... See full document
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Linguistically Augmented Bulgarian to English Statistical Machine Translation Model
... et al., 2007), which included a large amount of manual work. Graham and van Genabith (2008) and Graham et al. (2009) explored the automatic rule induction approach in a transfer-based MT setting involving two ... See full document
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Bodo to English Machine Translation through Transliteration
... Abstract- Machine Translation (MT) is a technique that automatically translates text from one natural language to another using machine like ...computer. Machine Transliteration (MTn) is also ... See full document
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Improvements in Phrase Based Statistical Machine Translation
... Recently, phrase-based translation approaches became more and more popular. Some examples are the align- ment template system in (Och et al., 1999; Och and Ney, 2002) that we used for comparison. In (Zens ... See full document
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BTG-based Machine Translation with Simple Reordering Model using Structured Perceptron
... novel statistical machine translation method which employs a BTG-based reordering model during decod- ...ing. BTG-based reordering models for pre- ordering have been ... See full document
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Phrase Based Statistical Machine Translation: A Level of Detail Approach
... to statistical machine translation relies on the word-based trans- lation model to describe the translation process ...word-to-word translation often fails to capture all ... See full document
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HSSA tree structures for BTG-based preordering in machine translation
... A preordering model is built by using the tree struc- tures obtained on the parallel corpus used as train- ing data for machine translation, as its training data. On test data, i.e., source sentences alone, ... See full document
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