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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. - : arXiv, 2016 BASE Show details 10 A Survey of Word Reordering in Statistical Machine Translation: Computational Models and Language Phenomena ... Bisazza, Arianna; Federico, Marcello. - : arXiv, 2015 Abstract: Word reordering is one of the most difficult aspects of statistical machine translation (SMT), and an important factor of its quality and efficiency. Despite the vast amount of research published to date, the interest of the community in this problem has not decreased, and no single method appears to be strongly dominant across language pairs. Instead, the choice of the optimal approach for a new translation task still seems to be mostly driven by empirical trials. To orientate the reader in this vast and complex research area, we present a comprehensive survey of word reordering viewed as a statistical modeling challenge and as a natural language phenomenon. The survey describes in detail how word reordering is modeled within different string-based and tree-based SMT frameworks and as a stand-alone task, including systematic overviews of the literature in advanced reordering modeling. We then question why some approaches are more successful than others in different language pairs. We argue that, besides ... : 44 pages, to appear in Computational Linguistics ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://dx.doi.org/10.48550/arxiv.1502.04938 https://arxiv.org/abs/1502.04938 BASE Hide 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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