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20192024
most citedGitHub Typo Corpus: A Large-Scale Multilingual Dataset of Misspellings and Grammatical Errors

17 citations · 27 across the 11 of their papers we have counts for

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8 papers · 1 filter

cs.CL2024

Project MOSLA: Recording Every Moment of Second Language Acquisition

Masato Hagiwara, Joshua Tanner

Second language acquisition (SLA) is a complex and dynamic process. Many SLA studies that have attempted to record and analyze this process have typically focused on a single modal…

cs.CL2022★ 3 cited

Towards Automated Document Revision: Grammatical Error Correction, Fluency Edits, and Beyond

Masato Mita, Keisuke Sakaguchi, Masato Hagiwara +3

Natural language processing technology has rapidly improved automated grammatical error correction tasks, and the community begins to explore document-level revision as one of the…

cs.CL2021

Semi-Supervised Joint Estimation of Word and Document Readability

Yoshinari Fujinuma, Masato Hagiwara

Readability or difficulty estimation of words and documents has been investigated independently in the literature, often assuming the existence of extensive annotated resources for…

cs.CL2021★ 2 cited

EXPATS: A Toolkit for Explainable Automated Text Scoring

Hitoshi Manabe, Masato Hagiwara

Automated text scoring (ATS) tasks, such as automated essay scoring and readability assessment, are important educational applications of natural language processing. Due to their…

cs.CL2021

GrammarTagger: A Multilingual, Minimally-Supervised Grammar Profiler for Language Education

Masato Hagiwara, Joshua Tanner, Keisuke Sakaguchi

We present GrammarTagger, an open-source grammar profiler which, given an input text, identifies grammatical features useful for language education. The model architecture enables…

cs.CL2019★ 17 cited

GitHub Typo Corpus: A Large-Scale Multilingual Dataset of Misspellings and Grammatical Errors

Masato Hagiwara, Masato Mita

The lack of large-scale datasets has been a major hindrance to the development of NLP tasks such as spelling correction and grammatical error correction (GEC). As a complementary n…

cs.CL2019

Diamonds in the Rough: Generating Fluent Sentences from Early-Stage Drafts for Academic Writing Assistance

Takumi Ito, Tatsuki Kuribayashi, Hayato Kobayashi +4

The writing process consists of several stages such as drafting, revising, editing, and proofreading. Studies on writing assistance, such as grammatical error correction (GEC), hav…

cs.CL2019★ 2 cited

TEASPN: Framework and Protocol for Integrated Writing Assistance Environments

Masato Hagiwara, Takumi Ito, Tatsuki Kuribayashi +2

Language technologies play a key role in assisting people with their writing. Although there has been steady progress in e.g., grammatical error correction (GEC), human writers are…