Difference between revisions of "An Explicit Feedback System for Preposition Errors based on Wikipedia Revisions"
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| − | '''An Explicit Feedback System for Preposition Errors based on Wikipedia Revisions''' - scientific work related to Wikipedia quality published in 2014, written by Nitin Madnani and Aoife Cahill. | + | '''An Explicit Feedback System for Preposition Errors based on Wikipedia Revisions''' - scientific work related to [[Wikipedia quality]] published in 2014, written by [[Nitin Madnani]] and [[Aoife Cahill]]. |
== Overview == | == Overview == | ||
| − | This paper presents a proof-of-concept tool for providing automated explicit feedback to language learners based on data mined from Wikipedia revisions. The tool takes a sentence with a grammatical error as input and displays a ranked list of corrections for that error along with evidence to support each correction choice. Authors use lexical and part-of-speech contexts, as well as query expansion with a thesaurus to automatically match the error with evidence from the Wikipedia revisions. Authors demonstrate that the tool works well for the task of preposition selection errors, evaluating against a publicly available corpus. | + | This paper presents a proof-of-concept tool for providing automated explicit feedback to language learners based on data mined from [[Wikipedia]] revisions. The tool takes a sentence with a grammatical error as input and displays a ranked list of corrections for that error along with evidence to support each correction choice. Authors use lexical and part-of-speech contexts, as well as query expansion with a thesaurus to automatically match the error with evidence from the Wikipedia revisions. Authors demonstrate that the tool works well for the task of preposition selection errors, evaluating against a publicly available corpus. |
Revision as of 09:38, 1 October 2019
An Explicit Feedback System for Preposition Errors based on Wikipedia Revisions - scientific work related to Wikipedia quality published in 2014, written by Nitin Madnani and Aoife Cahill.
Overview
This paper presents a proof-of-concept tool for providing automated explicit feedback to language learners based on data mined from Wikipedia revisions. The tool takes a sentence with a grammatical error as input and displays a ranked list of corrections for that error along with evidence to support each correction choice. Authors use lexical and part-of-speech contexts, as well as query expansion with a thesaurus to automatically match the error with evidence from the Wikipedia revisions. Authors demonstrate that the tool works well for the task of preposition selection errors, evaluating against a publicly available corpus.
