17 citations · 27 across the 11 of their papers we have counts for
11 papers
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…
AVES: Animal Vocalization Encoder based on Self-Supervision
Masato Hagiwara
The lack of annotated training data in bioacoustics hinders the use of large-scale neural network models trained in a supervised way. In order to leverage a large amount of unannot…
BEANS: The Benchmark of Animal Sounds
Masato Hagiwara, Benjamin Hoffman, Jen-Yu Liu +3
The use of machine learning (ML) based techniques has become increasingly popular in the field of bioacoustics over the last years. Fundamental requirements for the successful appl…
Modeling Animal Vocalizations through Synthesizers
Masato Hagiwara, Maddie Cusimano, Jen-Yu Liu
Modeling real-world sound is a fundamental problem in the creative use of machine learning and many other fields, including human speech processing and bioacoustics. Transformer-ba…
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…
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…
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…
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…
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…
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…
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…