Google Аудармашы

MonoTrans2 is a translation system that com- bines machine translation (MT) with human computation using two crowds of monolin- gual source (Haitian Creole) and target (En- glish) speakers. We report …...

AbstractThis paper presents a systematic human evaluation of translations of English support verb constructions produced by a rule-based machine translation (RBMT) system (OpenLogos) and a statistical machine translation (SMT) system …...

AbstractAnalysing the translation errors is a task that can help us finding and describing translation problems in greater detail, but can also suggest where the automatic engines should be improved. …...

This paper describes the Universitat d’Alacant submissions (labelled as UAla- cant) for the machine translation quality estimation (MTQE) shared task in WMT 2015, where we participated in the word- level …...

Neural Machine Translation (NMT) has attracted increasing attention in the recent years. However, it tends to require very large training corpora which could prove problematic for languages with low resources. …...

AbstractIn this paper, we tested 20 Brazilian Portuguese speakers at intermediate and advanced English proficiency levels to investigate the influence of Google Translate’s MT system on the mental processing of …...

AbstractHuman gender bias is reflected in language and text production. Because state-of-the-art machine translation (MT) systems are trained on large corpora of text, mostly generated by humans, gender bias can …...

AbstractWe introduce DivEMT, the first publicly available post-editing study of Neural Machine Translation (NMT) over a typologically diverse set of target languages. Using a strictly controlled setup, 18 professional translators …...

AbstractThis paper examines machine bias in language technology. Machine bias can affect machine learning algorithms when language models trained on large corpora include biased human decisions or reflect historical or …...

AbstractIn this paper, we focus on how current Machine Translation (MT) engines perform on the translation of emotion-loaded texts by evaluating outputs from Google Translate according to a framework proposed …...