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A bilingual approach to specialised adjectives through word embeddings in the karstology domain ...
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A bilingual approach to specialised adjectives through word embeddings in the karstology domain ...
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A bilingual approach to specialised adjectives through word embeddings in the karstology domain ...
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Simple Discovery of COVID IS WAR Metaphors Using Word Embeddings ...
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Simple Discovery of COVID IS WAR Metaphors Using Word Embeddings ...
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Mining semantic relations from comparable corpora through intersections of word embeddings. ...
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Mining semantic relations from comparable corpora through intersections of word embeddings. ...
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8
DigiLing e-Learning Hub: e-Courses for Digital Linguistics
Vintar, Špela; Bago, Petra; Mikelić Preradović, Nives. - : Faculty of Arts, University of Ljubljana, 2019. : Charles University, 2019. : Faculty of Humanities and Social Sciences, University of Zagreb, 2019. : Johannes Gutenberg University Mainz, 2019. : Leeds University, 2019
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Neural machine translation of literary texts from English to Slovene
Kuzman, Taja; Vintar, Špela; Arčan, Mihael. - : Machine Translation Summit 2019, 2019
Abstract: Neural Machine Translation has shown promising performance in literary texts. Since literary machine translation has not yet been researched for the English-toSlovene translation direction, this paper aims to fulfill this gap by presenting a comparison among bespoke NMT models, tailored to novels, and Google Neural Machine Translation. The translation models were evaluated by the BLEU and METEOR metrics, assessment of fluency and adequacy, and measurement of the postediting effort. The findings show that all evaluated approaches resulted in an increase in translation productivity. The translation model tailored to a specific author outperformed the model trained on a more diverse literary corpus, based on all metrics except the scores for fluency. However, the translation model by Google still outperforms all bespoke models. The evaluation reveals a very low inter-rater agreement on fluency and adequacy, based on the kappa coefficient values, and significant discrepancies between posteditors. This suggests that these methods might not be reliable, which should be addressed in future studies. ; This publication has emanated from research supported in part by a research grant from Science Foundation Ireland (SFI) under Grant Number SFI/12/RC/2289 (Insight), co-funded by the European Regional Development Fund. ; peer-reviewed
Keyword: English; literary texts; Machine translation; Slovene
URL: http://hdl.handle.net/10379/15395
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ccGigafida ARPA language model 1.0
Kadivec, Jože; Robnik-Šikonja, Marko; Vintar, Špela. - : Faculty of Computer and Information Science, University of Ljubljana, 2017
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11
Annotation, exploitation and evaluation of parallel corpora: TC3 I
Hansen-Schirra, Silvia; Neumann, Stella; Čulo, Oliver. - : Language Science Press, 2017
In: Language Science Press; (2017)
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Annotation, exploitation and evaluation of parallel corpora: TC3 I
Hansen-Schirra, Silvia; Neumann, Stella; Čulo, Oliver. - : Language Science Press, 2017
In: Language Science Press; (2017)
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Annotation, exploitation and evaluation of parallel corpora: TC3 I
Hansen-Schirra, Silvia; Neumann, Stella; Čulo, Oliver. - : Language Science Press, 2017
In: Language Science Press; (2017)
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Annotation, exploitation and evaluation of parallel corpora: TC3 I
Hansen-Schirra, Silvia; Neumann, Stella; Čulo, Oliver. - : Language Science Press, 2017
In: Language Science Press; (2017)
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Annotation, exploitation and evaluation of parallel corpora: TC3 I
Hansen-Schirra, Silvia; Neumann, Stella; Čulo, Oliver. - : Language Science Press, 2017
In: Language Science Press; (2017)
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Annotation, exploitation and evaluation of parallel corpora: TC3 I
Hansen-Schirra, Silvia; Neumann, Stella; Čulo, Oliver. - : Language Science Press, 2017
In: Language Science Press; (2017)
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Annotation, exploitation and evaluation of parallel corpora: TC3 I
Hansen-Schirra, Silvia; Neumann, Stella; Čulo, Oliver. - : Language Science Press, 2017
In: Language Science Press; (2017)
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Annotation, exploitation and evaluation of parallel corpora: TC3 I
Hansen-Schirra, Silvia; Neumann, Stella; Čulo, Oliver. - : Language Science Press, 2017
In: Language Science Press; (2017)
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Annotation, exploitation and evaluation of parallel corpora: TC3 I
Hansen-Schirra, Silvia; Neumann, Stella; Čulo, Oliver. - : Language Science Press, 2017
In: Language Science Press; (2017)
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Annotation, exploitation and evaluation of parallel corpora: TC3 I
Hansen-Schirra, Silvia; Neumann, Stella; Čulo, Oliver. - : Language Science Press, 2017
In: Language Science Press; (2017)
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