[PDF] Top 20 Statistical Phrase Based Post Editing
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Statistical Phrase Based Post Editing
... the post-editing task, as opposed to the revision of human translation for example, is its partly repetitive ...the post-editors must correct ...multiple post-editors, then the opportunities ... See full document
8
USAAR: An Operation Sequential Model for Automatic Statistical Post Editing
... The phrase- extraction (Koehn et al., 2003) and hierarchical phrase-extraction (Chiang, 2005) are used to build our PB-SAPE and hierarchical phrase-based sta- tistical (HPB-SAPE) system ... See full document
5
Applying Statistical Post-Editing to English-to-Korean Rule-based Machine Translation System
... training based on alignment between incorrect machine translation result and correct human translation result, knowledge to improve the fluency of RBMT can be ...means statistical post- ... See full document
7
A machine translation system combining rule based machine translation and statistical post editing
... System architecture, experimental set- tings and evaluation results of the EIWA in the WAT2014 Japanese to English (ja- en) and Chinese to Japanese (zh-ja) tasks are described. Our system is combining rule-based ... See full document
5
An Evaluation of Statistical Post Editing Systems Applied to RBMT and SMT Systems
... Table 3.6 presents the number of average edits per sentence, based on the T ER edit types. The errors are divided into four categories: insertion (Ins), substitution (Sub), deletion (Del) and shift. The numbers ... See full document
16
A Post editing Interface for Immediate Adaptation in Statistical Machine Translation
... After post-editing a sentence, the phrase-segmented and aligned post-edit is compared to the initial machine translation, and lexical corrections and new rules are immediately added to the ... See full document
5
Statistical Post Editing and Dictionary Extraction: Systran/Edinburgh Submissions for ACL WMT2009
... extracted phrase pairs any item that would not translate all entities from the source ...the phrase pair. Table 1 illustrates the kind of phrase pairs that are excluded from the ...first ... See full document
5
Neural Post Editing Based on Quality Estimation
... In order to reduce the impact of misjudgment, a hierarchical classification method is used to select the best translation output among the merged n- best list. First, the translation hypotheses are score by the QE method ... See full document
6
Deepfix: Statistical Post editing of Statistical Machine Translation Using Deep Syntactic Analysis
... automatic post-editing of machine translation outputs are (Simard et ...performed statistical post-editing (SPE) of rule-based ma- chine translation ...the post- ... See full document
8
The IIT Bombay Hindi English Translation System at WMT 2014
... Hindi-English statistical sys- tems submitted to the WMT14 shared ...are phrase based (Hindi-English) and factored (English-Hindi) SMT sys- ...and post-processing ...a post-processing ... See full document
7
Improving Translation Fluency with Search-Based Decoding and a Monolingual Statistical Machine Translation Model for Automatic Post-Editing
... systems based on IBM models are still too low for publication ...noisy phrase pairs may introduce significant search ...a statistical post-editing (SPE) model, based on a special ... See full document
14
PhraseFix: Statistical Post Editing of TectoMT
... An SPE system is trained to improve the output of a single first-stage system. Sometimes, more (first-stage) systems are available, and we would like to combine them. In MT output selection, for each sentence one ... See full document
7
Post Editing System For Statistical Machine Translation
... a post editing module for statistical based Hindi-Punjabi Translation system that will compare the result with previous machine translation ... See full document
6
USAAR SAPE: An English–Spanish Statistical Automatic Post Editing System
... 3.2.2 Edit Distance-Based Word Alignment We use two different kind of edit distance based word aligners, where alignment is based on TER (Translation Edit Rate) and the METEOR word aligner. TER ... See full document
6
A Rule Augmented Statistical Phrase based Translation System
... Incremental Statistical Ma- chine Translation (IMT) aims to provide a mechanism that allows the statistical mod- els involved in the translation process to be incrementally updated and ...either ... See full document
6
Learning from Post Editing: Online Model Adaptation for Statistical Machine Translation
... for phrase pairs, allowing feature values to be incrementally updated as new sentence pairs are available for phrase ...and post- editing data in an adaptive model with simulated ...at ... See full document
10
Connecting Phrase based Statistical Machine Translation Adaptation
... In this paper, we propose a straightforward connecting phrase based SMT adaptation method. Two model size tuning methods, NN and occurring probability are proposed to discard less reliable connecting ... See full document
11
Incremental Decoding for Phrase Based Statistical Machine Translation
... In this section we compare our decoder with Moses for regular beam search decoding. Table 1 gives the BLEU and TER for the two language pairs. Our decoder implementation compares favourably with Moses for Fr-En: the ... See full document
8
Statistical Machine Translation Improvement based on Phrase Selection
... is based upon MOSES, briefly described in (Koehn et ...baseline phrase-based SMT sys- tem four models have been used, namely: four models namely: a translation table, a language model, a distortion ... See full document
7
Reordering Constraints for Phrase Based Statistical Machine Translation
... For the ITG constraints a dynamic program- ming search algorithm exists as described in the previous section. It would be more prac- tical with respect to language model recom- bination to have an algorithm that ... See full document
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