Towards Better Text Processing Tools for the Ainu Language

Nowakowski, Karol; Ptaszyński, Michał; Masui, Fumito

doi:10.1007/978-3-030-66527-2_10

Cited by 1 publication

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“…Following this, Nowakowski [2020] took further strides by developing a digital corpus alongside fundamental language technologies for Ainu. Additionally, Nowakowski et al [2017] advanced the development of more effective text-processing tools for Ainu, setting a foundation for applying NLP in its digitization.…”

Section: Nlp For Ainumentioning

confidence: 99%

Ainu–Japanese Bi-directional Neural Machine Translation: A Step Towards Linguistic Preservation of Ainu, An Under-Resourced Indigenous Language in Japan

Miyagawa

2024

Journal of Data Mining &Amp; Digital Humanities

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This study presents a groundbreaking approach to preserving the Ainu language, recognized as critically endangered by UNESCO, by developing a bi-directional neural machine translation (MT) system between Ainu and Japanese. Utilizing the Marian MT framework, known for its effectiveness with resource-scarce languages, the research aims to overcome the linguistic complexities inherent in Ainu's polysynthetic structure. The paper delineates a comprehensive methodology encompassing data collection from diverse Ainu text sources, meticulous preprocessing, and the deployment of neural MT models, culminating in the achievement of significant SacreBLEU scores that underscore the models' translation accuracy. The findings illustrate the potential of advanced MT technology to facilitate linguistic preservation and educational endeavors, advocating for integrating such technologies in safeguarding endangered languages. This research not only underscores the critical role of MT in bridging language divides but also sets a precedent for employing computational linguistics to preserve cultural and linguistic heritage.

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Section: Nlp For Ainumentioning

confidence: 99%

Ainu–Japanese Bi-directional Neural Machine Translation: A Step Towards Linguistic Preservation of Ainu, An Under-Resourced Indigenous Language in Japan

Miyagawa

2024

Journal of Data Mining &Amp; Digital Humanities

View full text Add to dashboard Cite

show abstract

Towards Better Text Processing Tools for the Ainu Language

Cited by 1 publication

References 2 publications

Ainu–Japanese Bi-directional Neural Machine Translation: A Step Towards Linguistic Preservation of Ainu, An Under-Resourced Indigenous Language in Japan

Ainu–Japanese Bi-directional Neural Machine Translation: A Step Towards Linguistic Preservation of Ainu, An Under-Resourced Indigenous Language in Japan

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