Masato Hagiwara

Research Lead at Earth Species Project

Seattle, Washington, United States
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Summary

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Rockstar
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Masato Hagiwara is a Research Lead with 15 years of experience in NLP and ML, specializing in Asian language processing (Japanese, Chinese, Korean), machine translation/transliteration, and language assessment. He now leads research at Earth Species Project decoding non-human communication, after building automatic grading and multilingual course content at Duolingo and transliteration/MT systems at Rakuten. A published author of "Real-World Natural Language Processing," he combines deep academic training (PhD, Nagoya University) with hands-on engineering across startups, industry labs, and open-source educational projects. Masato has a track record of competitive NLP results (e.g., TAC KBP fine-grained NER work) and a habit of turning research into practical tools—from RakutenMA and ESL writing support to web-based AllenNLP teaching materials. Notably, he consults across US–Japan startups and contributes datasets and courses that lower the barrier to applied NLP.
code15 years of coding experience
job13 years of employment as a software developer
bookPh.D. Information Engineering Computer Science, Ph.D. Information Engineering Computer Science at Nagoya University
languagesEnglish, Chinese, Japanese
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Github Skills (71)

ctc10
nlp10
natural-language-processing10
linguistics10
pytorch10
language-processing10
facebook10
sequence10
conformer9
wolfram-language9
python9
prefix9
phonetics9
deep-learning9
thesaurus9

Programming languages (7)

C++MaxJavaScriptHTMLJupyter NotebookRubyPython

Github contributions (5)

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octanove/www.octanove.com

Feb 2019 - Mar 2024

Contributions:31 pushes, 1 branch in 5 years 1 month
mhagiwara/realworldnlp

Oct 2018 - Jul 2021

Example code for "Real-World Natural Language Processing"
Contributions:120 commits, 1 PR, 114 pushes in 2 years 9 months
nlpnatural-language-understandinglanguage-processingmachine-learningnatural-language
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Masato Hagiwara - Research Lead at Earth Species Project