Results 41 to 50 of about 4,300,436 (344)
Survey of Low-Resource Machine Translation [PDF]
Computational Linguistics, 2021 We present a survey covering the state of the art in low-resource machine translation (MT) research. There are currently around 7,000 languages spoken in the world and almost all language pairs lack significant resources for training machine translation ...
B. Haddow +4 more
semanticscholar +1 more source
Evaluation of English–Slovak Neural and Statistical Machine Translation
Applied Sciences, 2021 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
doaj +1 more source
Multi-View Network Representation Learning Algorithm Research
Algorithms, 2019 Network representation learning is a key research field in network data mining. In this paper, we propose a novel multi-view network representation algorithm (MVNR), which embeds multi-scale relations of network vertices into the low dimensional ...
Zhonglin Ye +3 more
doaj +1 more source
Google Translate and DeepL: Breaking taboos in translator training. Observational study and analysis
Ibérica, 2023 In recent decades, when we read about the use of machine translation, we were told that it was not suitable for professional translation. The reason was that machine translation used to produce poor results as long as it was not applied to controlled ...
María-José Varela Salinas, Ruth Burbat
doaj +1 more source
Improving Massively Multilingual Neural Machine Translation and Zero-Shot Translation [PDF]
Annual Meeting of the Association for Computational Linguistics, 2020 Massively multilingual models for neural machine translation (NMT) are theoretically attractive, but often underperform bilingual models and deliver poor zero-shot translations. In this paper, we explore ways to improve them.
Biao Zhang +3 more
semanticscholar +1 more source
A Systematic Comparison of Data Selection Criteria for SMT Domain Adaptation
The Scientific World Journal, 2014 Data selection has shown significant improvements in effective use of training data by extracting sentences from large general-domain corpora to adapt statistical machine translation (SMT) systems to in-domain data.
Longyue Wang +4 more
doaj +1 more source
Are ambiguous conjunctions problematic for machine translation? [PDF]
, 2019 The translation of ambiguous words still poses challenges for machine translation. In this work, we carry out a systematic quantitative analysis regarding the ability of different machine translation systems to disambiguate the source language ...
Castilho, Sheila, Popović, Maja
core +1 more source
Bleu: a Method for Automatic Evaluation of Machine Translation
Annual Meeting of the Association for Computational Linguistics, 2002 Human evaluations of machine translation are extensive but expensive. Human evaluations can take months to finish and involve human labor that can not be reused.
K. Papineni +3 more
semanticscholar +1 more source
The Scientific World Journal, 2014 With the rapid development of machine translation (MT), the MT evaluation becomes very important to timely tell us whether the MT system makes any progress.
Aaron L.-F. Han +4 more
doaj +1 more source
Pre-editing English news texts for machine translation into Russian
Исследования языка и современное гуманитарное знание, 2022 The paper discusses the possible advantages of pre-editing English news texts for machine translation into Russian. Pre-editing is defined as a process of adapting source text in order to reach a better quality of machine translation.
Елена Коканова +2 more
doaj +1 more source