[PDF] Top 20 LAYERED: Metric for Machine Translation Evaluation
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LAYERED: Metric for Machine Translation Evaluation
... in evaluation of MT ...Each metric is discussed with the graphical representation so that it would become clear to analyze the effect of each ...a metric which should be a combination of the met- ... See full document
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Metric for Automatic Machine Translation Evaluation based on Universal Sentence Representations
... segment-level metric for automatic machine translation evaluation ...man evaluation enable the continuous integration and deployment of a machine translation (MT) ... See full document
6
MAXSIM: A Maximum Similarity Metric for Machine Translation Evaluation
... Having weighted matches between items means that there could be many possible ways to match, or link items from a system translation sentence to a reference translation sentence. To match each sys- tem item ... See full document
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Designing a Frame Semantic Machine Translation Evaluation Metric
... the evaluation. In the first round of evaluation, around 30 sentence pairs from the human trans- lated TED talk were scored from 4 (acceptable without changes) to 1 (unusable) by 7 annotators for each ... See full document
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ReVal: A Simple and Effective Machine Translation Evaluation Metric Based on Recurrent Neural Networks
... better translation: M1: T0 ...a metric does not scale well as per the quality of translations, it may still obtain a good Kendall Tau segment-level corre- lation and a better metric may end up ... 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 put to- ... See full document
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Edit Distance: A Metric for Machine Translation Evaluation
... Semantic adequacy judgments made by bilingual judges such as expert human translators (an approach currently being used in the DARPA TransTAC program) can be viewed as ground truth—an answer that you want candidate ... See full document
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Machine Translation Evaluation using Recurrent Neural Networks
... our metric (UoW- LSTM) submitted in the WMT-15 met- rics ...state-of-the-art Machine Translation (MT) evaluation metrics are complex, involve extensive external re- sources ...a metric ... See full document
5
F Measure Metric for English to Hindi Language Machine Translation
... India. Evaluation of MT is required for Indian languages because the same MT is not works in Indian language as in European languages due to the language ...appropriate evaluation metric for the ... See full document
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Machine Translationness: Machine-likeness in Machine Translation Evaluation
... make machine translations distinguishable from human ...MT evaluation method based on determining whether the translation is machine-like instead of determining its human-likeness as in ... See full document
8
Human Evaluation of Neural Machine Translation: The Case of Deep Learning
... MT evaluation is more important than ever with the development of NMT ...automatic evaluation metrics were created more than 15 years ...human evaluation of NMT output in order to identify recurrent ... See full document
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Improving machine translation by training against an automatic semantic frame based evaluation metric
... tem as the most adequate translation. In this exam- ple, the MEANT-tuned system has translated the two predicates “ 攻占 ” and “ 施行 ” in the input sen- tence into the correct form of the predicates “at- tack” and ... See full document
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Meteor 1 3: Automatic Metric for Reliable Optimization and Evaluation of Machine Translation Systems
... Open Machine Transla- tion Evaluation Urdu-English parallel data (Przy- bocki, 2009) plus 900M words of monolingual data from the English Gigaword corpus (Parker et ...a translation table and lex- ... See full document
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MACHINE TRANSLATION: APPROACHES AND EVALUATION
... 5.3.4 NIST: metric is based on the BLEU metric, but with some alterations. Its name comes from the US National Institute of Standards and Technology. Where BLEU simply calculates n-gram precision adding ... See full document
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Proceedings of the First Conference on Machine Translation: Volume 1, Research Papers
... five translation tasks: Machine Translation of News, Machine Translation of IT domain, Biomedical Translation, Multimodal Machine Translation, and Cross-lingual ... See full document
28
Phrase Based Evaluation for Machine Translation
... our metric evaluates translations with three key parts, including calculating phrase similarity, allocating weight to each phrase, and finding a maximum similarity ... See full document
10
Semantic Evaluation of Machine Translation
... of evaluation scores come together with an observable im- provement in ...highest evaluation scores in all ...MT evaluation have been neg- lected by current evaluation ... See full document
5
Comparing a Hand crafted to an Automatically Generated Feature Set for Deep Learning: Pairwise Translation Evaluation
... the machine-generated translation as well, by using pre-trained embeddings and the BLEU scores of the ...the evaluation of single hypothesis with refer- ence, instead of pairwise ... See full document
9
A New Syntactic Metric for Evaluation of Machine Translation
... At the system level, the initial German test set provided at the workshop was filtered according to the length of segments. This was done in order to limit the time requirements of WCDG. As a result, 500 segments with a ... See full document
6
Automatic Evaluation Metric for Machine Translation that is Independent of Sentence Length
... automatic evaluation metrics for ma- chine translation have been proposed through the metrics task on the Workshop on statis- tical Machine Translation ...automatic evaluation metrics ... See full document
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