[PDF] Top 20 A Description of Tunable Machine Translation Evaluation Systems in WMT13 Metrics Task
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A Description of Tunable Machine Translation Evaluation Systems in WMT13 Metrics Task
... our machine transla- tion evaluation systems used for participation in the WMT13 shared Metrics ...the Metrics task, we submitted two automatic MT evaluation ... 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 ... See full document
24
Better Evaluation Metrics Lead to Better Machine Translation
... German-English machine translation ...of evaluation metric, in that a system trained on met- ric M typically does well when judged by the same metric ...different systems with manual judgments ... See full document
10
Accurate Evaluation of Segment level Machine Translation Metrics
... shared task for automatic metrics, and as with the translation shared task, human evaluation remains the official gold standard for ...MT systems in the shared translation ... See full document
9
The dialogue breakdown detection challenge: Task description, datasets, and evaluation metrics
... these systems mean that humans and machines still cannot converse as naturally as two ...that systems typically make inappropriate utterances that lead to dialogue break- ...enable systems to avoid ... See full document
5
A Shared Task on Multimodal Machine Translation and Crosslingual Image Description
... in Task 1, where the overall rank- ing trend for all metrics is ...between metrics in Task 2 is due to the different ways in which these metrics use multi- ple references (which are ... See full document
11
Combining Coherence Models and Machine Translation Evaluation Metrics for Summarization Evaluation
... summarization systems focus on con- tent coverage by extracting content-dense sen- tences from source ...SOP task encourages research on evaluating summaries on content, readability, and over- all ...a ... See full document
9
Modifications of Machine Translation Evaluation Metrics by Using Word Embeddings
... WMT-15 Translation Task (Bojar et al., 2015), these two systems are considered ...the systems by standard BLEU or WER, according to the results reported in Figure 2 and Table 4, we find that ... See full document
9
Findings of the 2010 Joint Workshop on Statistical Machine Translation and Metrics for Machine Translation
... ranking task on Ama- zon’s Mechanical Turk ...between systems that would oth- erwise be insignificantly different using only the data from the volunteers (which we will now refer to as the “expert” ... See full document
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Achieving Accurate Conclusions in Evaluation of Automatic Machine Translation Metrics
... of systems than those relied upon in past evaluations, subsequently yield- ing correlation sample point estimates that can be relied on with more ...MT metrics potentially contain data for a very large ... See full document
10
Results of the WMT13 Metrics Shared Task
... Automatic machine translation metrics play a very important role in the development of MT systems and their ...different metrics of diverse nature and one would like to assess their ... See full document
7
Findings of the 2009 Workshop on Statistical Machine Translation
... the metrics’ scores were consistent with human rank- ings of every pair of translated ...this task is 50%. Many metrics failed to reach the baseline (includ- ing most metrics in the ... See full document
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MT Evaluation: Human Like vs Human Acceptable
... automatic translation uses the expression “seats” to make a reservation, where humans in- variably choose ...automatic translation users “rack” as the place to put a bag, while humans choose “overhead bin”, ... See full document
8
NICT’s Machine Translation Systems for the WMT19 Similar Language Translation Task
... Portuguese task. For both translation direc- tions, we prepared state-of-the-art statistical (SMT) and neural (NMT) machine translation ...NMT systems with the Trans- former ... See full document
5
Findings of the Second Shared Task on Multimodal Machine Translation and Multilingual Image Description
... submitted systems are Imagination models (Elliott and K´ad´ar, 2017), which are trained to perform two tasks in a mul- titask learning framework: a) produce the target sentence, and b) predict the visual feature ... See full document
19
Translation Shared Task on Statistical Machine Translation: A Comparison of the Systems Output
... the translation shared task whose runs we have ...short description of the systems are given ...Transducer Translation Model, a phrase based generative model of translation that ... See full document
7
ORANGE: a Method for Evaluating Automatic Evaluation Metrics for Machine Translation
... in machine translation evaluation, we view a translation as a sequence of ...reference translation and Y is a candidate translation, as follows: ... See full document
7
Metrics for Evaluation of Word level Machine Translation Quality Estimation
... of machine translation (MT) is a task of determining the quality of an au- tomatically translated text without any oracle (ref- erence) ...This task has lately been re- ceiving significant ... See full document
6
NTT’s Machine Translation Systems for WMT19 Robustness Task
... robustness task. This task mainly fo- cuses on translating noisy text ...typical translation tasks such as ...during translation, improves translation accuracy even with noisy ... See full document
8
Findings of the 2015 Workshop on Statistical Machine Translation
... the task sharing the same statistical ap- proach to APE, the slight variants they explored al- lowed them to outperform the widely used mono- lingual translation ...participating systems, is a clue ... See full document
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