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Integrating Unsupervised Data Generation into Self-Supervised Neural Machine Translation for Low-Resource Languages ...
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Comparing Feature-Engineering and Feature-Learning Approaches for Multilingual Translationese Classification ...
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Investigating the Helpfulness of Word-Level Quality Estimation for Post-Editing Machine Translation Output ...
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Multi-Head Highly Parallelized LSTM Decoder for Neural Machine Translation ...
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Comparing Feature-Engineering and Feature-Learning Approaches for Multilingual Translationese Classification ...
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Modeling Task-Aware MIMO Cardinality for Efficient Multilingual Neural Machine Translation ...
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A Bidirectional Transformer Based Alignment Model for Unsupervised Word Alignment ...
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Automatic classification of human translation and machine translation : a study from the perspective of lexical diversity
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Transformer-based NMT : modeling, training and implementation
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Xu, Hongfei. - : Saarländische Universitäts- und Landesbibliothek, 2021
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The European Language Technology Landscape in 2020: Language-Centric and Human-Centric AI for Cross-Cultural Communication in Multilingual Europe
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In: Language Resources and Evaluation Conference ; https://hal.archives-ouvertes.fr/hal-02892154 ; Language Resources and Evaluation Conference, ELDA/ELRA, May 2020, Marseille, France ; https://lrec2020.lrec-conf.org/en/ (2020)
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The European Language Technology Landscape in 2020: Language-Centric and Human-Centric AI for Cross-Cultural Communication in Multilingual Europe ...
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Rehm, Georg; Marheinecke, Katrin; Hegele, Stefanie; Piperidis, Stelios; Bontcheva, Kalina; Hajič, Jan; Choukri, Khalid; Vasiļjevs, Andrejs; Backfried, Gerhard; Prinz, Christoph; Pérez, José Manuel Gómez; Meertens, Luc; Lukowicz, Paul; van Genabith, Josef; Lösch, Andrea; Slusallek, Philipp; Irgens, Morten; Gatellier, Patrick; Köhler, Joachim; Bars, Laure Le; Anastasiou, Dimitra; Auksoriūtė, Albina; Bel, Núria; Branco, António; Budin, Gerhard; Daelemans, Walter; De Smedt, Koenraad; Garabík, Radovan; Gavriilidou, Maria; Gromann, Dagmar; Koeva, Svetla; Krek, Simon; Krstev, Cvetana; Lindén, Krister; Magnini, Bernardo; Odijk, Jan; Ogrodniczuk, Maciej; Rögnvaldsson, Eiríkur; Rosner, Mike; Pedersen, Bolette Sandford; Skadiņa, Inguna; Tadić, Marko; Tufiş, Dan; Váradi, Tamás; Vider, Kadri; Way, Andy; Yvon, François. - : arXiv, 2020
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Abstract:
Multilingualism is a cultural cornerstone of Europe and firmly anchored in the European treaties including full language equality. However, language barriers impacting business, cross-lingual and cross-cultural communication are still omnipresent. Language Technologies (LTs) are a powerful means to break down these barriers. While the last decade has seen various initiatives that created a multitude of approaches and technologies tailored to Europe's specific needs, there is still an immense level of fragmentation. At the same time, AI has become an increasingly important concept in the European Information and Communication Technology area. For a few years now, AI, including many opportunities, synergies but also misconceptions, has been overshadowing every other topic. We present an overview of the European LT landscape, describing funding programmes, activities, actions and challenges in the different countries with regard to LT, including the current state of play in industry and the LT market. We ... : Proceedings of the 12th Language Resources and Evaluation Conference (LREC 2020). To appear ...
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Keyword:
Artificial Intelligence cs.AI; Computation and Language cs.CL; Digital Libraries cs.DL; FOS Computer and information sciences
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URL: https://arxiv.org/abs/2003.13833 https://dx.doi.org/10.48550/arxiv.2003.13833
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The European Language Technology Landscape in 2020: Language-Centric and Human-Centric AI for Cross-Cultural Communication in Multilingual Europe ...
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The European Language Technology Landscape in 2020: Language-Centric and Human-Centric AI for Cross-Cultural Communication in Multilingual Europe ...
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Linguistically inspired morphological inflection with a sequence to sequence model ...
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Probing Word Translations in the Transformer and Trading Decoder for Encoder Layers ...
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Language service provision in the 21st century: challenges, opportunities and educational perspectives for translation studies
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In: ISBN: 9788869234934 ; Bologna Process beyond 2020: Fundamental values of the EHEA pp. 297-303 (2020)
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Deep interactive text prediction and quality estimation in translation interfaces
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In: Hokamp, Christopher M. (2018) Deep interactive text prediction and quality estimation in translation interfaces. PhD thesis, Dublin City University. (2018)
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