Example Sentence Selection for Feedback on Preposition Usage

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

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Author(s)

Detail(s)

Original languageEnglish
Title of host publicationSEMAPRO 2019
Subtitle of host publicationThe Thirteenth International Conference on Advances in Semantic Processing
Editors Tim vor der Brück, Efstratios Kontopoulos
PublisherInternational Academy, Research, and Industry Association (IARIA)
ISBN (electronic)978-1-61208-738-2
Publication statusPublished - 22 Sept 2019

Conference

TitleThe Thirteenth International Conference on Advances in Semantic Processing - SEMAPRO 2019
LocationHotel Novotel Porto Gaia
PlacePortugal
CityPorto
Period22 - 26 September 2019

Abstract

While many writing assistance systems can automatically correct grammatical errors, most do not provide any explanation about their suggested corrections. This paper proposes an algorithm that selects example sentences to serve as feedback on preposition usage correction. This algorithm exploits the argument/adjunct distinction to select the most relevant example sentences. Evaluation shows that the use of argumenthood information improves the quality of the selected sentences.

Research Area(s)

  • computer-assisted language learning, example sentence selection, grammatical error correction feedback, preposition

Citation Format(s)

Example Sentence Selection for Feedback on Preposition Usage. / Lee, John.
SEMAPRO 2019 : The Thirteenth International Conference on Advances in Semantic Processing. ed. / Tim vor der Brück; Efstratios Kontopoulos. International Academy, Research, and Industry Association (IARIA), 2019.

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review