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On the Evolution of Syntactic Information Encoded by BERT's Contextualized Representations ...
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How much pretraining data do language models need to learn syntax? ...
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Assessing the Syntactic Capabilities of Transformer-based Multilingual Language Models ...
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Assessing the Syntactic Capabilities of Transformer-based Multilingual Language Models ...
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Semantically-oriented text planning for automatic summarization
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In: TDX (Tesis Doctorals en Xarxa) (2021)
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The Third Multilingual Surface Realisation Shared Task (SR'20): Overview and Evaluation Results ...
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The Third Multilingual Surface Realisation Shared Task (SR'20): Overview and Evaluation Results ...
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CollFrEn: Rich Bilingual English--French Collocation Resource ...
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The second multilingual surface realisation shared task (SR'19): Overview and evaluation results
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In: Mille, Simon orcid:0000-0002-8852-2764 , Anja, Belz, Bohnet, Bernd, Graham, Yvette and Wanner, Leo orcid:0000-0002-9446-3748 (2019) The second multilingual surface realisation shared task (SR'19): Overview and evaluation results. In: 2nd Workshop on Multilingual Surface Realisation (MSR 2019), 3 Nov 2019, Hong Kong, China. (2019)
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Collocation classification with unsupervised relation vectors
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A Multimodal Analytics Platform for Journalists Analyzing Large-Scale, Heterogeneous Multilingual, and Multimedia Content
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In: Front Robot AI (2018)
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Towards Distributional Semantics-Based Classification of Collocations for Collocation Dictionaries
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In: International Journal of Lexicography 30 (2017) 2, 167-186
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IDS OBELEX meta
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Multilingual Surface Realization Using Universal Dependency Trees
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Feature engineering for author profiling and identification: on the relevance of syntax and discourse
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In: TDX (Tesis Doctorals en Xarxa) (2017)
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Processament automàtic de patents: un exercici de terminologia computacional
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In: Terminàlia; Núm. 16 : desembre 2017; p. 54-56 ; 2013-6692 (2017)
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Combining Acoustic and Linguistic Features in Phrase-Oriented Prosody Prediction ...
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Classification of Grammatical Collocation Errors in the Writings of Learners of Spanish ; Clasificación de errores gramaticales colocacionales en textos de estudiantes de español
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Abstract:
Arbitrary recurrent word combinations (collocations) are a key in language learning. However, even advanced students have difficulties when using them. Efficient collocation aiding tools would be of great help. Still, existing “collocation checkers” still struggle to offer corrections to miscollocations. They attempt to correct without making any distinction between the different types of errors, providing, as a consequence, heterogeneous lists of collocations as suggestions. Besides, they focus solely on lexical errors, leaving aside grammatical ones. The former attract more attention, but the latter cannot be ignored either if the goal is to develop a comprehensive collocation aiding tool, able to correct all kinds of miscollocations. We propose an approach to automatically classify grammatical collocation errors made by US learners of Spanish as a starting point for the design of specific correction strategies targeted for each type of error. ; Las combinaciones recurrentes y arbitrarias de palabras (colocaciones) son clave para el aprendizaje de lenguas pero presentan dificultades incluso a los estudiantes m as avanzados. El uso de herramientas eficientes destinadas al aprendizaje de colocaciones supondría una gran ayuda, sin embargo, las que existen actualmente intentan corregir colocaciones erróneas sin diferenciar entre los distintos tipos de errores ofreciendo, como consecuencia, largas listas de colocaciones de muy diversa naturaleza. Además, sólo se consideran los errores léxicos, dejando de lado los gramaticales que, aunque menos frecuentes, no pueden ignorarse si el objetivo es desarrollar una herramienta capaz de corregir cualquier colocación errónea. En el presente trabajo se propone un método de clasificación automática de errores colocacionales gramaticales cometidos por estudiantes de español estadounidenses, como punto de partida para el diseño de estrategias de corrección específicas para cada tipo de error. ; This work has been funded by the Spanish Ministry of Science and Competitiveness (MINECO), through a predoctoral grant with reference BES-2012-057036, in the framework of the project HARenES, under the contract number FFI2011-30219-C02-02.
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Keyword:
Aprendizaje de lenguas; Clasificación de errores gramaticales colocacionales; Collocation; Collocation error typology; Colocaciones; Grammatical collocation error classification; Lenguajes y Sistemas Informáticos; Second language learning; Tipología de errores colocacionales
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URL: http://hdl.handle.net/10045/49275
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