[PDF] Top 20 Improving Evaluation of Document level Machine Translation Quality Estimation
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Improving Evaluation of Document level Machine Translation Quality Estimation
... In WMT-15, gold standard labels took the form of automatic metric scores for documents (specif- ically Meteor scores (Denkowski and Lavie, 2011)), and system predictions were compared to gold labels via MAE. A conclusion ... See full document
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Metrics for Evaluation of Word level Machine Translation Quality Estimation
... is similar to the one used for the evaluation of named entity recognition (NER) systems (Tjong Kim Sang and De Meulder, 2003). There, pre- cision is the percentage of named entities found by a system that are ... See full document
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Has Machine Translation Achieved Human Parity? A Case for Document level Evaluation
... neural machine translation achieves parity with professional human translation on the WMT Chinese– English news translation ...the evaluation of single sentences and entire ...over ... See full document
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Searching for Context: a Study on Document Level Labels for Translation Quality Estimation
... automatic machine translation evalu- ation metrics to provide labels for qual- ity estimation at document and paragraph ...in translation qual- ity that can only be observed when sen- ... See full document
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Extending Machine Translation Evaluation Metrics with Lexical Cohesion to Document Level
... few evaluation methods explicitly targeting on the quality of a docu- ...MT evaluation measures, based on the Discourse Representation Theory (Kamp and Reyle, 1993), that generate semantic trees to ... See full document
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Quality Estimation for Machine Translation Using the Joint Method of Evaluation Criteria and Statistical Modeling
... SMT evaluation method on sen- tence ...sentence- level MT evaluation utilizing the regression learning and based on a set of weaker indicators of fluency and adequacy as pseudo ...Confidence ... See full document
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Improving Machine Translation Quality Estimation with Neural Network Features
... Machine translation quality estimation is a challenging task in the WMT evaluation ...matic quality estimation, and in this paper, we propose neural network fea- tures, ... See full document
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Comparative Quality Estimation: Automatic Sentence Level Ranking of Multiple Machine Translation Outputs
... A machine learning mechanism is learned from human annotations in order to perform preference ...sentence level and ranks the alternative machine translations of each source ...MT evaluation ... See full document
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Improving Evaluation of Machine Translation Quality Estimation
... of quality estimation system predictions and gold labels, in addition to being the official measure applied to scoring vari- ants of tasks in WMT (Bojar et ...for evaluation of quality ... See full document
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Document Level Machine Translation with Word Vector Models
... an evaluation of word vector models trained with neural ...a document-level machine translation environ- ...good translation option for a word that appears translated in more ... See full document
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Exploring Consensus in Machine Translation for Quality Estimation
... rank outputs from an MT system. The pseudo- references-based features are BLEU scores ex- tracted by comparing the output of the MT sys- tem under investigation and the output of an off- the-shelf MT system, for both the ... See full document
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Document Level Machine Translation Evaluation with Gist Consistency and Text Cohesion
... Nowadays, the study of real document-level MT metrics has been drawing more and more attention. Based on Discourse Representation Theory (Kamp and Reyle, 1993), Gimenez et al. (2010) propose to use ... See full document
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UAlacant word level machine translation quality estimation system at WMT 2015
... MT quality estimation (MTQE) (Blatz et ...the quality of the translation hypotheses produced by an MT ...and document-level (sub-task ... See full document
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Syntax and Semantics in Quality Estimation of Machine Translation
... the quality of ma- chine translation from a new data set which contains source text from English customer support forums and target text consisting of its machine translation into ...that ... See full document
11
Multi level Evaluation for Machine Translation
... Translations generated by current statisti- cal systems often have a large variance, in terms of their quality against human ref- erences. To cope with such variation, we propose to evaluate translations using a ... See full document
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Cache based Document level Statistical Machine Translation
... Here, we use SRI language modeling toolkit to train a trigram general language model on English newswire text, mostly from the Xinhua portion of the Gigaword corpus (2007) and performed word alignment on the training ... See full document
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Machine Translation Quality Estimation Across Domains
... multiple machine learning models, the recommended approach is to use a non-parametric multiple hypothesis test followed by a post-hoc analysis that compares each pair of hypothesis (Demˇsar, ...to machine ... See full document
12
Black Box Features for the WMT 2012 Quality Estimation Shared Task
... main evaluation metrics, mean average error (MAE) and root mean squared error (RMSE), we report the Pearson correlation coefficient (PCC) as a measure of predictive strength of a single fea- ... See full document
5
A Document Level SMT System with Integrated Pronoun Prediction
... (Lee et al., 2013). The output of the anaphora re- solver is deterministic and clusters the mention in the document into a number of coreference sets. We transform these clusters into links by selecting, for each ... See full document
6
Urdu to English Machine Translation using Bilingual Evaluation Understudy
... Statistical Machine Translation ...in machine translation between languages with significant word order differences ...Based Machine Translation (EBMT) that translates input text ... See full document
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