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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 9 of 9 1 Integrating Unsupervised Data Generation into Self-Supervised Neural Machine Translation for Low-Resource Languages ... Ruiter, Dana; Klakow, Dietrich; van Genabith, Josef. - : arXiv, 2021 BASE Show details 2 Comparing Feature-Engineering and Feature-Learning Approaches for Multilingual Translationese Classification ... Pylypenko, Daria; Amponsah-Kaakyire, Kwabena; Chowdhury, Koel Dutta; van Genabith, Josef; España-Bonet, Cristina. - : arXiv, 2021 Abstract: Traditional hand-crafted linguistically-informed features have often been used for distinguishing between translated and original non-translated texts. By contrast, to date, neural architectures without manual feature engineering have been less explored for this task. In this work, we (i) compare the traditional feature-engineering-based approach to the feature-learning-based one and (ii) analyse the neural architectures in order to investigate how well the hand-crafted features explain the variance in the neural models' predictions. We use pre-trained neural word embeddings, as well as several end-to-end neural architectures in both monolingual and multilingual settings and compare them to feature-engineering-based SVM classifiers. We show that (i) neural architectures outperform other approaches by more than 20 accuracy points, with the BERT-based model performing the best in both the monolingual and multilingual settings; (ii) while many individual hand-crafted translationese features correlate with ... : 9 pages, 5 pages appendix, 2 figures, 7 tables. The first 3 authors contributed equally. Accepted to EMNLP 2021, Main Conference ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://arxiv.org/abs/2109.07604 https://dx.doi.org/10.48550/arxiv.2109.07604 BASE Hide details 3 The European Language Technology Landscape in 2020: Language-Centric and Human-Centric AI for Cross-Cultural Communication in Multilingual Europe ... Rehm, Georg; Marheinecke, Katrin; Hegele, Stefanie. - : arXiv, 2020 BASE Show details 4 Linguistically inspired morphological inflection with a sequence to sequence model ... Metheniti, Eleni; Neumann, Guenter; van Genabith, Josef. - : arXiv, 2020 BASE Show details 5 Probing Word Translations in the Transformer and Trading Decoder for Encoder Layers ... Xu, Hongfei; van Genabith, Josef; Liu, Qiuhui. - : arXiv, 2020 BASE Show details 6 INFODENS: An Open-source Framework for Learning Text Representations ... Taie, Ahmad; Rubino, Raphael; van Genabith, Josef. - : arXiv, 2018 BASE Show details 7 Massively Multilingual Neural Grapheme-to-Phoneme Conversion ... Peters, Ben; Dehdari, Jon; van Genabith, Josef. - : arXiv, 2017 BASE Show details 8 An Empirical Analysis of NMT-Derived Interlingual Embeddings and their Use in Parallel Sentence Identification ... España-Bonet, Cristina; Varga, Ádám Csaba; Barrón-Cedeño, Alberto. - : arXiv, 2017 BASE Show details 9 Predicting the Law Area and Decisions of French Supreme Court Cases ... Sulea, Octavia-Maria; Zampieri, Marcos; Vela, Mihaela. - : arXiv, 2017 BASE Show details

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