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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 – 11 of 11 1 Input Representations for Parsing Discourse Representation Structures: Comparing English with Chinese ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Bisazza, Arianna; Bos, Johan. - : Underline Science Inc., 2021 BASE Show details 2 On the Difficulty of Translating Free-Order Case-Marking Languages ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Bisazza, Arianna; Sportel, Stephan. - : Underline Science Inc., 2021 BASE Show details 3 UDapter: Language Adaptation for Truly Universal Dependency Parsing ... Üstün, Ahmet; Bisazza, Arianna; Bouma, Gosse. - : arXiv, 2020 BASE Show details 4 Understanding Cross-Lingual Syntactic Transfer in Multilingual Recurrent Neural Networks ... Dhar, Prajit; Bisazza, Arianna. - : arXiv, 2020 BASE Show details 5 BERTje: A Dutch BERT Model ... de Vries, Wietse; van Cranenburgh, Andreas; Bisazza, Arianna. - : arXiv, 2019 BASE Show details 6 Zero-shot Dependency Parsing with Pre-trained Multilingual Sentence Representations ... Tran, Ke; Bisazza, Arianna. - : arXiv, 2019 BASE Show details 7 Learning Topic-Sensitive Word Representations ... Fadaee, Marzieh; Bisazza, Arianna; Monz, Christof. - : arXiv, 2017 BASE Show details 8 Recurrent Memory Networks for Language Modeling ... Tran, Ke; Bisazza, Arianna; Monz, Christof. - : arXiv, 2016 BASE Show details 9 Neural versus Phrase-Based Machine Translation Quality: a Case Study ... Bentivogli, Luisa; Bisazza, Arianna; Cettolo, Mauro; Federico, Marcello. - : arXiv, 2016 Abstract: Within the field of Statistical Machine Translation (SMT), the neural approach (NMT) has recently emerged as the first technology able to challenge the long-standing dominance of phrase-based approaches (PBMT). In particular, at the IWSLT 2015 evaluation campaign, NMT outperformed well established state-of-the-art PBMT systems on English-German, a language pair known to be particularly hard because of morphology and syntactic differences. To understand in what respects NMT provides better translation quality than PBMT, we perform a detailed analysis of neural versus phrase-based SMT outputs, leveraging high quality post-edits performed by professional translators on the IWSLT data. For the first time, our analysis provides useful insights on what linguistic phenomena are best modeled by neural models -- such as the reordering of verbs -- while pointing out other aspects that remain to be improved. ... : Conference on Empirical Methods in Natural Language Processing (EMNLP), November 1-5, 2016, Austin, Texas, USA ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://arxiv.org/abs/1608.04631 https://dx.doi.org/10.48550/arxiv.1608.04631 BASE Hide details 10 A Survey of Word Reordering in Statistical Machine Translation: Computational Models and Language Phenomena ... Bisazza, Arianna; Federico, Marcello. - : arXiv, 2015 BASE Show details 11 Chunk-lattices for verb reordering in Arabic-English statistical machine translation : special issues on machine translation for Arabic Federico, Marcello; Pighin, Daniele; Bisazza, Arianna In: Machine translation. - Dordrecht [u.a.] : Springer Science + Business Media 26 (2012) 1-2, 85-103 BLLDB OLC Linguistik Show details

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