[PDF] Top 20 Improving Evaluation of Machine Translation Quality Estimation
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Improving Evaluation of Machine Translation Quality Estimation
... as translation quality gold ...derlying quality of translations, as a translation that takes longer to manually correct is thought to have lower ...to translation qual- ity is an ... See full document
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Improving Evaluation of Document level Machine Translation Quality Estimation
... human evaluation of MT, the validity of the particular gold standard representation used in a given evaluation is also highly ...human evaluation components, with weights tuned to optimize mean ... See full document
6
RTM results for Predicting Translation Performance
... Quality estimation task in WMT18 (Specia et al., 2018) (QET18) address machine translation per- formance prediction (MTPP), where translation quality is predicted without using ... See full document
5
Online Multitask Learning for Machine Translation Quality Estimation
... our evaluation to streams of data com- ing from a larger number of ...the translation industry towards human MT post-editing will not only push for fur- ther research on these problems, but also provide ... See full document
10
Exploring Prediction Uncertainty in Machine Translation Quality Estimation
... numeric quality labels from the litera- ture, including the commonly used Human Trans- lation Error Rate (HTER) (Snover et ...real translation envi- ronments – where uncertainty estimates could be useful, ... See full document
11
The UU Submission to the Machine Translation Quality Estimation Task
... one translation direc- tion, English-German, language-specific features can be ...noun translation errors from English to German as well as measuring the amount of reordering done by the SMT ... See full document
6
Challenges in Adaptive Neural Machine Translation
... Proceedings for AMTA 2018 Workshop: Translation Quality Estimation and Automatic Post-Editing Boston, March 21, 2018 | Page 207.. Symbiotic Human and Machine Translation.[r] ... See full document
36
Machine Translation Quality Estimation Across Domains
... The TED talks domain is formed by subtitles of several talks in a range of topics presented in the TED conferences. The complete dataset has been used for MT and automatic speech recognition systems evaluation ... See full document
12
Black Box Features for the WMT 2012 Quality Estimation Shared Task
... 2012 quality estimation (QE) shared task. Given a machine translation (MT) system and a corpus of its translations which have been rated by humans, the task is to build a predic- tor that can ... See full document
5
Urdu to English Machine Translation using Bilingual Evaluation Understudy
... of translation into three ...corresponding translation fragments and 3) Re-combination that generates the target text in surface form of the target ...transfer translation of new ...and ... See full document
8
Automatic Evaluation of Chinese Translation Output: Word Level or Character Level?
... various machine transla- tion evaluation metrics to evaluate the quality of Chinese translation output, and compare their cor- relation with human assessment when the Chinese ... See full document
6
Syntactic Category Prediction for Improving Translation Quality in English-Korean Machine Translation
... the translation-adapted ...the translation quality. Through the translation evaluation, we know that the prediction contributes to improving the translation ... See full document
8
An Evaluation of Output Quality of Machine Translation Program
... each translation was 10 points: 5 for accuracy and 5 for ...Every translation lost points according to the nature and number of the errors it ...overall quality of the ... See full document
5
Fine grained evaluation of Quality Estimation for Machine translation based on a linguistically motivated Test Suite
... ular expressions, developed and tested on the first translation outputs, are afterwards applied to all the alternative translation outputs (stage d) to ac- quire the automatic labels (stage e). Further mod- ... See full document
6
Proceedings of the Human Informed Translation and Interpreting Technology Workshop (HiT IT 2019)
... and machine evaluation of machine translation; using NLP, automatic tools and techniques to study and extract meaningful patterns from interpreting, human translation, and manual ... See full document
10
MT Evaluation: Human Like vs Human Acceptable
... Automatic Machine Trans- lation (MT) Evaluation are mostly based on met- rics which determine the quality of a given transla- tion according to its similarity to a given set of ref- erence ...the ... See full document
8
Continuous Measurement Scales in Human Evaluation of Machine Translation
... the quality-control items were somewhat hidden may have lulled workers into a false sense of compla- cency, and perhaps encouraged careless ...good quality-control techniques when employing services like ... See full document
9
Integrating Meaning into Quality Evaluation of Machine Translation
... Mohammad et al. (2015) also investigate the sen- timent consistency between MT and HT texts with a different motivation. They improve sentiment analysis performance for Arabic by translating available resources (e.g., ... See full document
10
Tree Kernels for Machine Translation Quality Estimation
... the Quality Estimation (QE) shared task at WMT ...Vector Machine re- gression, using a number of explicitly defined features extracted from the Machine Transla- tion input, output and models ... See full document
5
Quality Estimation for Machine Translation Using the Joint Method of Evaluation Criteria and Statistical Modeling
... Task 2 is the word-level quality estimation of automatically translated news sentences from English to Spanish without given reference trans- lations. Participants are required to judge each translated word ... See full document
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