[PDF] Top 20 The Impact of Machine Translation Quality on Human Post Editing
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The Impact of Machine Translation Quality on Human Post Editing
... the quality increases measured by auto- matic metrics and subjective evaluation criteria re- late to actual increases in the productivity of post- editors is still an open research ...some machine ... See full document
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Multi Engine and Multi Alignment Based Automatic Post Editing and its Impact on Translation Productivity
... of machine translation (MT) research: automatic post- editing (APE) and multi-engine (system combination) ...by human corrected output of a first stage MT system, to improve the output ... See full document
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Real Time Adaptive Machine Translation for Post Editing with cdec and TransCenter
... end-to-end machine translation post-editing setup provided by cdec Realtime and ...the quality of MT systems continues to improve, the idea of using automatic translation as a ... See full document
6
Post editing Productivity with Neural Machine Translation: An Empirical Assessment of Speed and Quality in the Banking and Finance Domain
... been post- editing outputs of the MT systems used in the ex- periment (see above) for three months, and had re- ceived four hours of post-editing ... See full document
6
Touch Based Pre Post Editing of Machine Translation Output
... draft translation to post-edit, we require a user to simply spot those segments of a draft transla- tion that can participate in an acceptable transla- ...classical post-editing on the ... See full document
6
Using the TED Talks to Evaluate Spoken Post editing of Machine Translation
... the post-editors’ views and atti- tudes before and after the introduction of speech technology as a front-end to a computer-aided translation ...in post-editing, and they seem willing to adopt ... See full document
8
A Post editing Interface for Immediate Adaptation in Statistical Machine Translation
... Technical translation effort is approximated by HBLEU+1 and HTER, comparing MT outputs to post-edits, and time is normalized by the number of characters in the final ...the translation condition ... See full document
5
Translation Quality and Effort: Options versus Post editing
... reduce translation ef- fort and improve translation quality over manual ...of translation options, and post- editing of machine translation (MT) output produced by ... See full document
8
Estimating Grammar Correctness for a Priori Estimation of Machine Translation Post Editing Effort
... Having discussed our aim and the required infor- mativeness, we present a pipeline for both train- ing a hypothesis model and the prediction itself (Figure 2). The process comprises a typed de- pendency extraction module ... See full document
6
Pre editing Plus Neural Machine Translation for Subtitling: Effective Pre editing Rules for Subtitling of TED Talks
... by human raters and BLEU score. Quality improvement was confirmed significant on human evaluation, although in some cases no changes or even degrade in quality were ... See full document
9
Proceedings of the AMTA 2018 Workshop on Translation Quality Estimation and Automatic Post Editing
... of quality estimation is to evaluate a translation system’s quality without access to reference translations (Blatz et ...a translation is ready for publishing or if it requires human ... See full document
7
Improving Translation Fluency with Search-Based Decoding and a Monolingual Statistical Machine Translation Model for Automatic Post-Editing
... The quality of such phrases is therefore greatly affected by the word alignment accuracy; and, the phrases for the target language side may not really respect the target ... See full document
14
Applying Statistical Post-Editing to English-to-Korean Rule-based Machine Translation System
... rule-based machine translation system suffers from its weakness of fluency in the view of target language ...of translation result is as important as adequacy in the aspect of readability and ... See full document
7
Deepfix: Statistical Post editing of Statistical Machine Translation Using Deep Syntactic Analysis
... automatic post-editing of machine translation outputs are (Simard et ...statistical post-editing (SPE) of rule-based ma- chine translation ...the post- ... See full document
8
Do translator trainees trust machine translation? An experiment on post editing and revision
... a post-editing experiment carried out with translator ...a human translation needing revision, while the other half was told that it was an MT output to be post- ... See full document
7
Learning from Post Editing: Online Model Adaptation for Statistical Machine Translation
... true post-editing data is infeasi- ble to collect during system development and in- ternal testing as standard MT pipelines require tens of thousands of sentences to be translated with low ...ulated ... See full document
10
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 ...same machine translation ... See full document
8
Ensembling Factored Neural Machine Translation Models for Automatic Post Editing and Quality Estimation
... the post-edited reference is created by a human translator in the workflow described ...train machine translation ...direct translation from source to ... See full document
8
Post Editing System For Statistical Machine Translation
... great impact on Indian officials, journals, ...few translation software are available in market but quality of these software are not up to the ...the quality of translation from Hindi ... See full document
6
Patterns of Terminological Variation in Post editing and of Cognate Use in Machine Translation in Contrast to Human Translation
... fully post-edit (FPE) and light-post-edit (LPE) texts from either the technical or the medical ...to human insulin for diabetes patients and medication for treatment of ...term translation), ... See full document
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