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Time’s up, translators! Uma análise da (in)consistência na tradução de fraseologias em um reality show gastronômico
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Textos de divulgação sobre depressão : uma análise de definições inteligíveis com o aporte da linguística de corpus
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Tempi verbali e perifrasi gerundivali in un corpus di italiano letterario (1800-2000)
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Российское цирковое искусство и деятельность Росгосцирка в период пандемии ; Russian circus art and activities of Russian State Circus Company during a pandemic
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Функционирование лексемы Jugendliche в корпусе СМИ Германии XXI в. ; Functioning of the Lexeme Jugendliche in German Media Corpus of the XXI Century
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Концепт «Артист» в русском языке (на материале национального корпуса русского языка) ; Concept “Artist” in Russian (Based on the National Corpus of the Russian Language)
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Метафорический образ России в британских СМИ: опыт корпусного исследования : магистерская диссертация ; The metaphorical image of Russia in the British media: a corpus research practice
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Häufige Fachbegriffe und ihre Wortverbindungen im österreichischen und russischen Strafrecht
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Oltre “no buono”. L’espressione di gusti e preferenze nella scrittura in italiano L2 di apprendenti vulnerabili
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In: Lingue e Linguaggi; Volume 41 (2021) - Special Issue; 119-135 (2021)
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Argumentation, Ideology and Discourse in Evolving Specialized Communication
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In: Lingue e Linguaggi; Volume 42 (2021) Special Issue; 1-220 (2021)
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Creaky Voice: Interactional Effects in Production and Perception
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In: Masters Theses (2021)
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A corpus linguistic study of Australian and Chinese health news reporting on salt consumption
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Zhao, Mengdan. - : The University of Sydney, 2021. : Department of Chinese Studies, 2021. : Faculty of Arts and Social Sciences, School of Languages and Cultures, 2021
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Übersetzungswissenschaft, Kontrastive Linguistik, Konstruktionsgrammatik: Ein Plädoyer für ein glückliches Zusammenleben
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Livio Gaeta. - : Peter Lang, 2021. : country:DEU, 2021. : place:Berlin, 2021
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Resourceful at Any Size: A Predictive Methodology Using Linguistic Corpus Metrics for Multi-Source Training in Neural Dependency Parsing
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Abstract:
Thesis (Ph.D.)--University of Washington, 2021 ; Multilingual modeling comes up in natural language processing at any scale. High-resource language corpora train high-performing models, and can be combined with other language corpora of all sizes to make better models for low-resource languages. Projects like Universal Dependencies even make it possible to train highly multilingual models from standardized morphosyntactic labels. Multilingual (or, more generally, multi-source) training does not consistently improve modeling performance, however. With an abundance of language resources comes a difficult design choice: which corpora will train better together rather than separately? More specifically, when is it worthwhile to supplement (i.e., concatenate) one corpus with another during training, rather than training on the first corpus alone? Approaches to selecting and evaluating candidate combinations tend toward two extremes: ad hoc or exhaustive. In this work, I put forth an alternative, predictive methodology for outcomes of concatenative training in dependency parsing. I leverage treebanks from the Universal Dependencies framework to assess the utility of linguistic corpus metrics in multi-source modeling. This approach is both robust and practical, using computationally simple metrics that expand upon intuitions of linguistic similarity, and making it possible to reasonably predict which conditions will yield significant improvement for a target corpus. Although the results are specific to a particular family of models and the task of dependency parsing, the approach holds promise for any number of natural language processing applications.
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Keyword:
Computational Linguistics; Computer science; Corpus Linguistics; Dependency Parsing; Linguistics; Multilingual Modeling; Multitask Modeling; Natural Language Processing
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URL: http://hdl.handle.net/1773/48283
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Ontario High School Science Word List (OHSWL)
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In: Electronic Thesis and Dissertation Repository (2021)
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Sentence-Final Particles (SFPS): A Usage-Based Constructionist Approach
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Zhu, Lin. - : University of Oregon, 2021
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Formulaicity in constrained communication: An intermodal approach
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Term and translation variation of multiword terms ; La variación terminológica en las traducciones de los términos compuestos
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