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Modeling verb valency in a computational grammar for Portuguese in the HPSG formalism ; Modelação da valência verbal numa gramática computacional do português no formalismo HPSG
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In: Domínios de Lingu@gem; Ahead of Print; 1-63 ; 1980-5799 (2022)
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85 |
Signifying against antiblackness: Black Rhetoric in early African American writing
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Aportaciones de la diacronía a la enseñanza de la morfología léxica en el aula ; Contributions of diachrony to the teaching of lexical morphology in the Secondary Education
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A family-resemblance analysis of the middle construction: a functional-cognitive approach ; Un análisis de parecido familiar de la construcción media: un enfoque funcional-cognitivo
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La enseñanza de la gramática como práctica reflexiva: aproximación histórica ; Grammar teaching as a reflective practice: a historical approach
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Intercomprehension grammar ; Gramática da Intercompreensão
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In: Domínios de Lingu@gem; Vol. 16 No. 2 (2022): Estudos sobre a relação entre gramática e língua: diversidade, unidade e métodos; 589-618 ; Domínios de Lingu@gem; v. 16 n. 2 (2022): Estudos sobre a relação entre gramática e língua: diversidade, unidade e métodos; 589-618 ; 1980-5799 (2022)
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PFN-PT: a Framenet annotator for Portuguese ; Anotação semântica automática: um novo Framenet para o português
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In: Domínios de Lingu@gem; Ahead of Print ; 1980-5799 (2022)
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Conception of grammar and grammar teaching in Neves’ works ; Concepção de gramática e de ensino de gramática nas obras de Neves
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In: Domínios de Lingu@gem; Vol. 16 No. 2 (2022): Estudos sobre a relação entre gramática e língua: diversidade, unidade e métodos; 794-842 ; Domínios de Lingu@gem; v. 16 n. 2 (2022): Estudos sobre a relação entre gramática e língua: diversidade, unidade e métodos; 794-842 ; 1980-5799 (2022)
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Automated written corrective feedback: Error-correction performance and timing of delivery
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Ranalli, Jim; Yamashita, Taichi. - : University of Hawaii National Foreign Language Resource Center, 2022. : Center for Language & Technology, 2022. : (co-sponsored by Center for Open Educational Resources and Language Learning, University of Texas at Austin), 2022
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Abstract:
To the extent automated written corrective feedback (AWCF) tools such as Grammarly are based on sophisticated error-correction technologies, such as machine-learning techniques, they have the potential to find and correct more common L2 error types than simpler spelling and grammar checkers such as the one included in Microsoft Word (technically known as MS-NLP). Moreover, AWCF tools can deliver feedback synchronously, although not instantaneously, as often appears to be the case with MS-NLP. Cognitive theory and recent L2 research suggest that synchronous corrective feedback may aid L2 development, but also that error-flagging at suboptimal times could cause disfluencies in L2 students’ writing processes. To contribute to the knowledge needed for appropriate application of this new genre of writing-support technology, we evaluated Grammarly’s capacity to address common L2 problem areas, as well as issues with its feedback-delivery timing, using MS-NLP as a benchmark. Grammarly was found to flag 10 times as many common L2 error types as MS-NLP in the same corpus of student texts while also displaying an average 17.5-second delay in feedback delivery, exceeding the distraction-potential threshold defined for the L2 student writers in our sample. Implications for the use of AWCF tools in L2 settings are discussed.
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Keyword:
Human-Computer Interaction; Syntax/Grammar; Writing
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URL: http://hdl.handle.net/10125/73465
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You are driving me up the wall! A corpus-based study of a special class of resultative constructions
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In: 19 (2022)
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Harnessing the Musicality of Noise: Formal Grammar in Music Composition
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Barnacle, Angus. - : The University of Sydney, 2022. : Sydney Conservatorium of Music, 2022
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MaxEnt Learners are Biased Against Giving Probability to Harmonically Bounded Candidates
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In: Proceedings of the Society for Computation in Linguistics (2022)
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Incremental Acquisition of a Minimalist Grammar using an SMT-Solver
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In: Proceedings of the Society for Computation in Linguistics (2022)
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Learning Constraints on Wh-Dependencies by Learning How to Efficiently Represent Wh-Dependencies: A Developmental Modeling Investigation With Fragment Grammars
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In: Proceedings of the Society for Computation in Linguistics (2022)
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Teachers' perceptions of challenges in online learning: Voices from secondary EFL teachers
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In: Journal of Applied Linguistics and Literature, Vol 7, Iss 1, Pp 104-119 (2022) (2022)
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Are you a die-hard K-pop fan? Examining English Korean code mixing uttered by an American native speaker youtuber
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In: Journal of Applied Linguistics and Literature, Vol 7, Iss 1, Pp 15-33 (2022) (2022)
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Local English teachers’ voices from a marginalized lens: Inequality practices and identity construction in the workplace
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In: Journal of Applied Linguistics and Literature, Vol 7, Iss 1, Pp 167-185 (2022) (2022)
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