Results 21 to 30 of about 70,068 (263)
Comparative analysis of machine translation for Hindi-Dogri text using rule-based, statistical, and neural approaches [PDF]
Machine translation has made significant progress in several Indian languages; however, some, known as computationally low-resourced languages, have seen very little work in this field.
Joginder Kumar +7 more
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Evaluation of machine translation [PDF]
This paper reports results of the 1992 Evaluation of machine translation (MT) systems in the DARPA MT initiative and results of a Pre-test to the 1993 Evaluation. The DARPA initiative is unique in that the evaluated systems differ radically in languages translated, theoretical approach to system design, and intended end-user application.
John S. White +2 more
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Evaluating Amharic Machine Translation
Machine translation (MT) systems are now able to provide very accurate results for high resource language pairs. However, for many low resource languages, MT is still under active research. In this paper, we develop and share a dataset to automatically evaluate the quality of MT systems for Amharic. We compare two commercially available MT systems that
Asmelash Teka Hadgu +2 more
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Disentangling Uncertainty in Machine Translation Evaluation
Trainable evaluation metrics for machine translation (MT) exhibit strong correlation with human judgements, but they are often hard to interpret and might produce unreliable scores under noisy or out-of-domain data. Recent work has attempted to mitigate this with simple uncertainty quantification techniques (Monte Carlo dropout and deep ensembles ...
Chrysoula Zerva +3 more
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Study on the comprehensive evaluation method of machine translation quality
The accurate evaluation of machine translation quality is the main basis of machine translation systems research and development. Based on the analysis of three translation quality assessment factors, i.e.
Yiqun Sun
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Evaluation of English–Slovak Neural and Statistical Machine Translation
This study is focused on the comparison of phrase-based statistical machine translation (SMT) systems and neural machine translation (NMT) systems using automatic metrics for translation quality evaluation for the language pair of English and Slovak.
Lucia Benkova +3 more
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Pairwise Neural Machine Translation Evaluation [PDF]
We present a novel framework for machine translation evaluation using neural networks in a pairwise setting, where the goal is to select the better translation from a pair of hypotheses, given the reference translation. In this framework, lexical, syntactic and semantic information from the reference and the two hypotheses is compacted into relatively ...
Francisco Guzmán +3 more
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Survey of Neural Machine Translation Based on Knowledge Distillation [PDF]
Machine translation (MT) is the process of using a computer to convert one language into another language with the same semantics. With the introduction of neural network, neural machine translation (NMT), as a powerful machine translation technology ...
MA Chang, TIAN Yonghong, ZHENG Xiaoli, SUN Kangkang
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Translationese in Machine Translation Evaluation
The term translationese has been used to describe the presence of unusual features of translated text. In this paper, we provide a detailed analysis of the adverse effects of translationese on machine translation evaluation results. Our analysis shows evidence to support differences in text originally written in a given language relative to translated ...
Yvette Graham +2 more
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Analisis Penggabungan Korpus dari Hadits Nabi dan Alquran untuk Mesin Penerjemah Statistik
Each region has different language to communicate. A communication can run well if each other can understand the language that use in communication process.
Hafidz Ardhi +2 more
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