[PDF] Top 20 Transformation based Sentence Splitting method for Statistical Machine Translation
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Transformation based Sentence Splitting method for Statistical Machine Translation
... with sentence splitting methods to im- prove machine translation ...speech translation (Furuse et al, 1998) and example based machine translation (Doi and Sumita, ... See full document
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Splitting Input Sentence for Machine Translation Using Language Model with Sentence Similarity
... the splitting method using MT systems in English-to-Japanese translation, to de- termine what effect the method had on transla- ...of translation expres- sion is a ...another ... See full document
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A Comparison of Pivot Methods for Phrase Based Statistical Machine Translation
... Recall was reasonably high. However, the upper bound of recall was 100 percent because we used a multilingual corpus whose sentences were aligned to each other across all four languages, as described in Section 4.1. ... See full document
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Phrase Based Statistical Machine Translation: A Level of Detail Approach
... the sentence pair or through word ...phrase translation candidates at ...this method is sufficient to satisfy the computational requirement, it comes with the cost of not finding the good phrases longer ... See full document
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Evaluation of a Substitution Method for Idiom Transformation in Statistical Machine Translation
... substitution based technique for improving Statistical Machine Transla- tion performance on idiomatic multiword ...The method operates by per- forming substitution on the original idiom with ... See full document
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A Dynamic Technique for Speech Optimization and Speech-To-Speech Linguistic Translation
... a sentence’ is a useless ...that statistical approach dealt with the problem of taking decision and while developing an automatic speech recognition and text translation system taking decision was ... See full document
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Distinguishing Degrees of Compositionality in Compound Splitting for Statistical Machine Translation
... the translation quality on a standard SMT test and make it comparable to other ...chosen based on a list containing noun compounds and human ratings for compositionality (von der Heide and Borgwaldt ... See full document
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Stream based Translation Models for Statistical Machine Translation
... sOEM method of incremental adaptation, we are able to align and adopt new data from the input stream orders of magnitude quicker since we only align the mini-batch of sentences collected from the last ...batch ... See full document
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Sentence Type Based Reordering Model for Statistical Machine Translation
... guage sentence to make its word order closer to that of the target ...source sentence to make the word or- der more accordant to target ...German-to-English translation. The method ... See full document
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Dependency Based Statistical Machine Translation
... accounts for word order differences between lan- guages is based on linear position in the sentence. Conspicuously absent is all but the most elementary use of syntactic information. Several researchers ... See full document
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A Sense Based Translation Model for Statistical Machine Translation
... Our baseline system is a state-of-the-art SMT system which adapts Bracketing Transduction Grammars (Wu, 1997) to phrasal translation and equips itself with a maximum entropy based reordering model (Xiong et ... 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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Phrase Reordering Model Integrating Syntactic Knowledge for SMT
... foreign sentence in the training corpus were ob- tained through the Stanford parser (Klein, 2003) and a dependency parser (Zhou, ...same sentence according to syntactic structures. Based on the word ... See full document
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Word Transduction for Addressing the OOV Problem in Machine Translation for Similar Resource Scarce Languages
... Singh (2006) formulated a phonetic model to represent relations between the sounds of In- dian languages and the letters or ‘akshars’ (or- thographic syllables). It included phonetic fea- tures (Clements, 1985) mapped to ... See full document
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AN OVERVIEW OF COMPUTATIONAL LINGUISTICS AND MALAYALAM
... This is a joint undertaking of Computational Linguistic Team @ C-DIT, Kerala State IT Mission and Dept: of Linguistics, University of Kerala for research [7]. The use of information technology demands the need of local ... See full document
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OPTIMAL ALIGNMENT FOR BI-DIRECTIONAL AFAAN OROMO-ENGLISH STATISTICAL MACHINE TRANSLATION
... Oromo. Based on the analyses we found that many-to-one or one-to-many alignments are common in English-Afaan Oromo ...the sentence structure is subject-object- verb (SOV), where the subject comes first, ... See full document
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SMT from Agglutinative Languages: Use of Suffix Separation and Word Splitting
... Marathi and Hindi both belong to the Indo- Aryan family of languages and have the same flexibility towards word order, canonically following the SOV structure. As both are written in Devanagari script and have many words ... See full document
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Can SMT and RBMT Improve each other’s Performance? An Experiment with English Hindi Translation
... and sentence gener- ...inter-lingua based English–Hindi machine translation ...Hindi translation using a rule-based ...rule-based translation tools proposed in ... 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 ... See full document
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An Efficient Execution Method for Rule Based Machine Translation
... An Efficient Execution Method for Rule Based Machine Translation An Efficient Execution Method for Rule Based Machine Translation Hiroyuki KAJI Systems Development Laboratory~ Hitachi Ltdo 1099 Ohzenj[.] ... See full document
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