no code implementations • INLG (ACL) 2021 • Ryo Nagata, Masato Hagiwara, Kazuaki Hanawa, Masato Mita, Artem Chernodub, Olena Nahorna
In this paper, we propose a generation challenge called Feedback comment generation for language learners.
no code implementations • 26 Mar 2024 • Masato Hagiwara, Joshua Tanner
Second language acquisition (SLA) is a complex and dynamic process.
1 code implementation • 5 Feb 2024 • Masato Hagiwara, Marius Miron, Jen-Yu Liu
Traditionally, bioacoustics has relied on spectrograms and continuous, per-frame audio representations for the analysis of animal sounds, also serving as input to machine learning models.
1 code implementation • 23 May 2022 • Masato Mita, Keisuke Sakaguchi, Masato Hagiwara, Tomoya Mizumoto, Jun Suzuki, Kentaro Inui
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 next challenges.
1 code implementation • NAACL (TextGraphs) 2021 • 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 the other.
1 code implementation • 7 Apr 2021 • 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.
1 code implementation • 7 Apr 2021 • 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.
no code implementations • WS 2020 • Masato Hagiwara
This paper describes Octanove Labs{'} submission to the IWSLT 2020 open domain translation challenge.
no code implementations • TACL 2020 • Burr Settles, Geoffrey T. LaFlair, Masato Hagiwara
We describe a method for rapidly creating language proficiency assessments, and provide experimental evidence that such tests can be valid, reliable, and secure.
1 code implementation • LREC 2020 • 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).
1 code implementation • WS 2019 • Takumi Ito, Tatsuki Kuribayashi, Hayato Kobayashi, Ana Brassard, Masato Hagiwara, Jun Suzuki, Kentaro Inui
The writing process consists of several stages such as drafting, revising, editing, and proofreading.
1 code implementation • IJCNLP 2019 • Masato Hagiwara, Takumi Ito, Tatsuki Kuribayashi, Jun Suzuki, Kentaro Inui
Language technologies play a key role in assisting people with their writing.
no code implementations • WS 2018 • Burr Settles, Chris Brust, Erin Gustafson, Masato Hagiwara, Nitin Madnani
We present the task of \textit{second language acquisition (SLA) modeling}.
no code implementations • LREC 2014 • Hai-Bo Li, Masato Hagiwara, Qi Li, Heng Ji
As long as (2) is ensured, the performance of word segmentation does not have appreciable impact on Chinese and Japanese name tagging.