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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 Page: 1 2 3 4 5 6 7 8...60 Hits 61 – 80 of 1.194 61 Structural Arrangement of Simple Semantically Elementary Constructions ... Masytska, Tetiana; Vaseiko, Yulia. - : Zenodo, 2020 BASE Show details 62 On understanding character-level models for representing morphology ... Vania, Clara. - : The University of Edinburgh, 2020 BASE Show details 63 Word order preferences and the effect of phrasal length in SOV languages: evidence from sentence production in Persian Faghiri, Pegah; Samvelian, Pollet In: Glossa: a journal of general linguistics; Vol 5, No 1 (2020); 86 ; 2397-1835 (2020) BASE Show details 64 Automatic Pronoun Resolution for Swedish ; Automatisk pronomenbestämning på svenska Ahlenius, Camilla. - : KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020 BASE Show details 65 Open Challenges on Generating Referring Expressions for Human-Robot Interaction Leite, Iolanda; Dogan, Fethiye Irmak. - : KTH, Robotik, perception och lärande, RPL, 2020 BASE Show details 66 Теорія залежностей у сучасному синтаксисі ; The theory of dependency in contemporary syntax ; Теория зависимостей в современном синтаксисе Масицька, Тетяна Євгенівна; Masytska, Tetiana Evgenivna. - 2020 BASE Show details 67 Dependency Treebanks of Ancient Greek Prose Gorman, Vanessa B. In: Journal of Open Humanities Data; Vol 6 (2020); 1 ; 2059-481X (2020) BASE Show details 68 LanguageStructure/TuDeT v0.1 ... Ferraz Gerardi, Fabrício; Reichert, Stanislav; Aragon, Carolina. - : Zenodo, 2020 BASE Show details 69 Linguatec Tolosa Treebank ... Miletic, Aleksandra; Bras, Myriam; Esher, Louise. - : Zenodo, 2020 BASE Show details 70 Linguatec Tolosa Treebank ... Miletic, Aleksandra; Bras, Myriam; Esher, Louise. - : Zenodo, 2020 BASE Show details 71 LanguageStructure/TuDeT v0.1 ... Ferraz Gerardi, Fabrício; Reichert, Stanislav; Aragon, Carolina. - : Zenodo, 2020 BASE Show details 72 Word order preferences and the effect of phrasal length in SOV languages: evidence from sentence production in Persian Faghiri, Pegah; Samvelian, Pollet In: Glossa: a journal of general linguistics (2016-2021) ; https://hal.archives-ouvertes.fr/hal-02559840 ; Glossa: a journal of general linguistics (2016-2021), Ubiquity Press, 2020, 5 (1), pp.86. ⟨10.5334/gjgl.1078⟩ (2020) BASE Show details 73 Demographic-Aware Natural Language Processing Garimella, Aparna. - 2020 BASE Show details 74 Top-Down Grouping Affects Adjacent Dependency Learning Wang, Felix Hao; Zevin, Jason D.; Mintz, Toben H.... In: Psychology Faculty Publications (2020) BASE Show details 75 On understanding character-level models for representing morphology Vania, Clara. - : The University of Edinburgh, 2020 Abstract: Morphology is the study of how words are composed of smaller units of meaning (morphemes). It allows humans to create, memorize, and understand words in their language. To process and understand human languages, we expect our computational models to also learn morphology. Recent advances in neural network models provide us with models that compose word representations from smaller units like word segments, character n-grams, or characters. These so-called subword unit models do not explicitly model morphology yet they achieve impressive performance across many multilingual NLP tasks, especially on languages with complex morphological processes. This thesis aims to shed light on the following questions: (1) What do subword unit models learn about morphology? (2) Do we still need prior knowledge about morphology? (3) How do subword unit models interact with morphological typology? First, we systematically compare various subword unit models and study their performance across language typologies. We show that models based on characters are particularly effective because they learn orthographic regularities which are consistent with morphology. To understand which aspects of morphology are not captured by these models, we compare them with an oracle with access to explicit morphological analysis. We show that in the case of dependency parsing, character-level models are still poor in representing words with ambiguous analyses. We then demonstrate how explicit modeling of morphology is helpful in such cases. Finally, we study how character-level models perform in low resource, cross-lingual NLP scenarios, whether they can facilitate cross-linguistic transfer of morphology across related languages. While we show that cross-lingual character-level models can improve low-resource NLP performance, our analysis suggests that it is mostly because of the structural similarities between languages and we do not yet find any strong evidence of crosslinguistic transfer of morphology. This thesis presents a careful, in-depth study and analyses of character-level models and their relation to morphology, providing insights and future research directions on building morphologically-aware computational NLP models. Keyword: character-level models; dependency parsing; morphemes; morphology; natural language processing; NLP URL: https://doi.org/10.7488/era/49 https://hdl.handle.net/1842/36742 BASE Hide details 76 Studying Dependency Maintenance Practices Through the Mining of Data from npm Packages Cogo, Filipe. - 2020 BASE Show details 77 Cognitive Constraints Built into Formal Grammars: Implications for Language Evolution Gómez-Rodríguez, Carlos; Christiansen, Morten H.; Ferrer-i-Cancho, Ramon. - : Ravignani, A., Barbieri, C., Martins, M., Flaherty, M., Jadoul, Y., Lattenkamp, E., Little, H., Mudd, K., Verhoef, T., 2020 BASE Show details 78 The structural motivation of palatalization ; A motivação estrutural da palatalização ; La motivación estructural de la palatalización Battisti, Elisa; Hermans, Ben. - 2020 BASE Show details 79 Self attended stack pointer networks for learning long term dependencies Can, Burcu; Tuç, Salih. - : Association for Computational Linguistics, 2020 BASE Show details 80 Induction of Minimalist Grammars over Morphemes Ermolaeva, Marina In: Proceedings of the Society for Computation in Linguistics (2020) BASE Show details Page: 1 2 3 4 5 6 7 8...60

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