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Iqmt: A Framework for Automatic Machine Translation Evaluation
... ing to their human-likeness. Thus, we must trust the metric (or set of metrics) with highest descriptive power (highest KING), i.e. the metric which best identifies the features that distinguish between human ... See full document
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The Contribution of Linguistic Features to Automatic Machine Translation Evaluation
... Finally, we have also considered ULC, which is a very simple approach to metric combina- tion based on the unnormalized arithmetic mean of metric scores, as described by Gim´enez and M`arquez (2008a). ULC considers a ... See full document
9
RUSE: Regressor Using Sentence Embeddings for Automatic Machine Translation Evaluation
... for automatic machine translation evaluation ...man evaluation enable the continuous integration and deployment of a machine translation (MT) ...Statistical Machine ... See full document
8
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
Feedback Cleaning of Machine Translation Rules Using Automatic Evaluation
... In this section, we introduce the proposed method, called feedback cleaning. This method is carried out by selecting or removing translation rules to increase the BLEU score of the evaluation corpus (Figure ... See full document
8
Filtering Pseudo References by Paraphrasing for Automatic Evaluation of Machine Translation
... tiple references consisting of gold and pseudo- references may yield higher correlation with hu- man evaluation than using a single gold reference. However, because they did not consider the qual- ity of the ... See full document
5
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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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 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
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
X-Score: Automatic Evaluation of Machine Translation Grammaticality
... The corpus contains several documents which a fluency score is given. The corpus used in the DARPA 94 evaluation (White & al., 1994) is similar to the one we used. In the DARPA 94 evaluation, human ... See full document
6
Automatic Evaluation Method for Machine Translation Using Noun Phrase Chunking
... translation systems in SMT and the scores of 200 output sentences obtained by 2 machine translation systems in RBMT are used respec- tively. However, EBMT is not included in Ta- ble 6 because EBMT is ... See full document
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... Automatic Summarization 2000 Seattle Embedded Machine Translation Systems 2000 Seattle Reading Comprehension Tests as Evaluation for Computer-Based 2000 Seattle Language Understanding Sy[r] ... See full document
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Automatic Evaluation of Machine Translation Quality Using Longest Common Subsequence and Skip Bigram Statistics
... developing automatic evalua- tion measures is to replace labor-intensive human ...an automatic evaluation measure is to show that it correlates highly with human judgments in different ... See full document
8
An Investigation of Machine Translation Evaluation Metrics in Cross lingual Question Answering
... and evaluation score of the correct ...that translation accuracy is, in fact, important for ...for translation in CLQA tasks, which is nat- ural given the importance of matching entities in the ... See full document
8
Achieving Accurate Conclusions in Evaluation of Automatic Machine Translation Metrics
... uation as a substitute for human assessment. Subsequently, the performance of a given met- ric is measured by its strength of correlation with human judgment. When a newly pro- posed metric achieves a stronger ... See full document
10
Automatic Evaluation Metric for Machine Translation that is Independent of Sentence Length
... other hand, in Table 8, the value of “Avg.” im- proved 0.0096 (from 0.3461 to 0.3557) using weight of Eq. (7) in short sentences. These results indicate the effectiveness of the use of weight in Eq. (7). Especially, ... See full document
7
Lecture Translator Speech translation framework for simultaneous lecture translation
... speech translation technology deployed in KIT’s lec- ture ...French. Automatic si- multaneous translation is more than just the concatenation of automatic speech recogni- tion and ... See full document
5
MT Evaluation: Human Like vs Human Acceptable
... to 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 ...an ... See full document
8
A Lightweight Evaluation Framework for Machine Translation Reordering
... reference translation and the word ...Japanese translation we require that all personal pronouns are translated; these are often omitted in natural ... See full document
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