[PDF] Top 20 Transliteration Using a Phrase Based Statistical Machine Translation System to Re Score the Output of a Joint Multigram Model
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Transliteration Using a Phrase Based Statistical Machine Translation System to Re Score the Output of a Joint Multigram Model
... The system presented in this paper uses a combination of two techniques to directly transliterate from grapheme to ...hypothesis re- scoring to integrate the models of two state- of-the-art techniques: ... See full document
5
A Hybrid Word Alignment Model for Phrase Based Statistical Machine Translation
... alignment model for Phrase-Based Statistical Machine translation ...alignment model provides most informative alignment links which are offered by both un- supervised and ... See full document
8
Integration of Reduplicated Multiword Expressions and Named Entities in a Phrase Based Statistical Machine Translation System
... machine transliteration. The Manipuri NE is divided into Transliteration Units (TU) with patterns C+M?, where C represents a consonant or a vowel or a conjunct and M represents the vowel modifier or ... See full document
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Translation Model Size Reduction for Hierarchical Phrase based Statistical Machine Translation
... baseline system, we chose the frequency- based cutoff method, which is one of the most widely used filtering ...BLEU score is also deteriorated ...tasks: phrase reduction, hierarchical rule ... See full document
5
A Hierarchical Phrase Based Model for Statistical Machine Translation
... baseline system we used for comparison was Pharaoh (Koehn et ...guage model (same as above), p( ¯ f | ¯e), p(¯e | f ), lex- ¯ ical weighting (both directions), distortion model, word penalty, and ... See full document
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Bidirectional Phrase based Statistical Machine Translation
... standard phrase- based machine translation decoder that operates according to the same principles as the publicly available PHARAOH (Koehn, 2004) and MOSES (Koehn et ...distortion ... See full document
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Improving Statistical Machine Translation Using Word Sense Disambiguation
... WSD model into phrase-based SMT so as to per- form multi-word phrasal lexical disambiguation, and show that this new WSD approach not only produces gains across all available Chinese-English IWSLT06 ... See full document
12
Improvements in Phrase Based Statistical Machine Translation
... Recently, phrase-based translation approaches became more and more ...template system in (Och et ...simple phrase-based approach is described that served as starting point for ... See full document
8
Phrase based Machine Transliteration
... the transliteration system. Their system was intended to transliterate from the output of an OCR system, and must therefore be robust to errors in the input, whereas our system ... See full document
6
Rule Based Transliteration Scheme for English to Punjabi
... language using rule based approach. The proposed transliteration scheme uses grapheme based method to model the transliteration ...demonstrated transliteration from ... See full document
7
Statistical Phrase Based Post Editing
... of using a PBMT system as an automated ...raw machine-translation output, along with its human-post-edited counterpart, we can train the system to translate from the former into ... See full document
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Automated Grammar Correction Using Hierarchical Phrase Based Statistical Machine Translation
... language model, the Joshua MT system uses KenLM (Heafield, 2011) toolkit or ...lation model. At the end of tuning, the system obtains the optimized parameters that can be de- ployed into the ... See full document
5
Adapting Grammatical Error Correction Based on the Native Language of Writers with Neural Network Joint Models
... adaptation based on the native language (L1) of writers, despite the marked influences of L1 on second lan- guage (L2) ...network joint model (NNJM) using L1-specific learner text and ... See full document
11
Syntax aware Phrase based Statistical Machine Translation: System Description
... Since each word has exactly one governor (bar the root word), we renormalize edge scores by marginal- izing over the potential governors. If the word is po- tentially the left corner of a sub-tree, we establish a new ... See full document
6
Integrating an Unsupervised Transliteration Model into Statistical Machine Translation
... a transliteration system from mined corpus, we built it using the gold standard corpus (for Arabic, Hindi and Russian), that we also used previously to do an intrinsic ...mined transliteration ... See full document
6
Maximum Entropy Based Phrase Reordering Model for Statistical Machine Translation
... several re- searchers (Och et ...powerful model called lexicalized reorder- ing model that is phrase ...reordering model learns local orientations (mono- tone or non-monotone) with ... See full document
8
Supertagged Phrase Based Statistical Machine Translation
... there re- main a number of significant ...extract phrase pairs in the standard way (Och & Ney, 2003) and associate with each phrase-pair a set of target language syntactic struc- tures ... See full document
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NAVER Machine Translation System for WAT 2015
... syntax-augmented machine translation (Zollmann and Venugopal, ...hierarchical phrase-based SMT (HPBSMT) (Chiang, ...training system to extract more rules by modifying parse ... See full document
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A Document Level SMT System with Integrated Pronoun Prediction
... didates are represented by the TL words aligned to the syntactic head of the source language mark- able noun phrase as identified by the Collins head finder (Collins, 1999), again represented as one- hot vectors. ... See full document
6
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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