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Bleu: a Method for Automatic Evaluation of Machine Translation
... of machine translation (MT) weigh many aspects of translation, including ade- quacy, fidelity , and fluency of the translation (Hovy, 1999; White and O’Connell, ...MT evaluation ... See full document
8
Automatic Evaluation Method for Machine Translation Using Noun Phrase Chunking
... High-quality automatic evaluation has be- come increasingly important as various ma- chine translation systems have ...some automatic evaluation meth- ods can obtain high correlation ... See full document
10
ORANGE: a Method for Evaluating Automatic Evaluation Metrics for Machine Translation
... of automatic metrics in terms of human ...8 machine translation systems from 2003 NIST Chinese- English machine translation ...different automatic evaluation methods ... See full document
7
Computing Lattice BLEU Oracle Scores for Machine Translation
... cal Machine Translation (PBSMT) systems can be represented under the form of a di- rected acyclic graph ...computing BLEU oracles on lattices: the first one is based on a linear approximation of the ... See full document
10
Efficient Top Down BTG Parsing for Machine Translation Preordering
... ing method for preordering. The method in- crementally builds parse trees by splitting larger spans into smaller ...The method provides an easy way to check the validity of each parser state, which ... See full document
11
The Contribution of Linguistic Features to Automatic Machine Translation Evaluation
... Automatic evaluation methods based on similarity to human references have substantially accelerated the development cycle of many NLP tasks, such as Machine Translation, Automatic ... See full document
9
X-Score: Automatic Evaluation of Machine Translation Grammaticality
... of machine translation ...the translation. This method is quite inexpensive, since it does not need any reference ...experimental method and the different tests we ... See full document
6
A Machine Learning Approach to the Automatic Evaluation of Machine Translation
... a machine learning approach to evaluating the well- formedness of output of a machine translation system, using classifiers that learn to distinguish human reference translations from machine ... See full document
8
Head Finalization: A Simple Reordering Rule for SOV Languages
... tical Machine Translation (SMT) systems work well within each of these language ...SMT-based translation from an SVO language to an SOV lan- guage does not work well because their word orders are ... See full document
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Comparing a Hand crafted to an Automatically Generated Feature Set for Deep Learning: Pairwise Translation Evaluation
... The automatic evaluation of machine translation (MT) has proven to be a very significant research ...Most automatic evaluation methods focus on the evalua- tion of the output of ... See full document
9
Two Approaches to Correcting Homophone Confusions in a Hybrid Machine Translation System
... With automatic evaluation, the weighted graph method yields an improvement of about ...+0.63 BLEU points, while the rule- based method scores about the same as the ... See full document
8
Automatic generation of paraphrases to be used as translation references in objective evaluation measures of machine translation
... the automatic evaluation of ma- chine translation systems, the quality of transla- tion candidates is judged against reference trans- lations that are paraphrases in the target ...language. ... See full document
8
BLEU Evaluation of Machine-Translated English-Croatian Legislation
... the evaluation of online available machine translation (MT) service, ...Human evaluation is performed by native speakers, using the criteria of adequacy and ...Human evaluation is ... See full document
6
Urdu to English Machine Translation using Bilingual Evaluation Understudy
... domain machine translation tool developed specifically for ...Urdu Machine translation ...Bilingual Evaluation Understudy (BLEU) and the guidelines are proposed for future ... See full document
8
The Impact of Multiword Expression Compositionality on Machine Translation Evaluation
... the method to have greater impact, we would need to target a larger set of MWEs, including non-contiguous MWEs such as split verb particle constructions (Kim and Baldwin, ... See full document
6
UPF Cobalt Submission to WMT15 Metrics Task
... Current automatic MT evaluation methods are grounded on the following key idea: the closer an MT is to a professional Human Translation (HT), the higher its ...calculate evaluation scores ... See full document
7
Proceedings of the Third Conference on Machine Translation: Research Papers
... three translation tasks: Machine Translation of News, Biomedical Translation, and Multimodal Machine Translation, two evaluation tasks: Metrics and Quality Estimation, as ... See full document
30
Proceedings of the Second Conference on Machine Translation
... three translation tasks: Machine Translation of News, Biomedical Translation, and Multimodal Machine Translation, two evaluation tasks: Metrics and Quality Estimation, as ... See full document
24
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
Optimization for Efficient Determination of Chunk in Automatic Evaluation for Machine Translation
... Proceedings of the First International Workshop on Optimization Techniques for Human Language Technology, pages 17–30, COLING 2012, Mumbai, December 2012.... # addition node to tree.[r] ... See full document
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