[dbjapan] [CfP] 論文募集中： Information Processing & Management (IP&M) (IF: 6.9) 特集号タイトル： Multilingual and Multimodal Solutions for Low-Resource, Indigenous, Endangered Languages and Dialects

MLの皆様 ＊重複して受け取られた場合はご容赦ください／Apologies for cross-posting＊ 北見工業大学のプタシンスキと申します． 現在，Information Processing＆Management（IP＆M）（IF：6.9）ジャーナルにて「Special Issue on Multilingual and Multimodal Solutions for Low-Resource, Indigenous, Endangered Languages and Dialects」（少資源言語，先住民族の言語や，方言のための多言語・マルチモーダルな技術）という特集号のため論文募集を行っております． 論文の提出締め切りは2027年8月31日ですが，論文は投稿後すぐに査読に送られ，採択された場合すぐに公開となります． 論文の投稿をどうぞご検討ください。 https://www.sciencedirect.com/special-issue/333393/multilingual-and-multimo… どうぞよろしくお願いいたします． ミハウ・プタシンスキ（博士／情報科学，教授） 北見工業大学 テキスト情報処理研究室 〒090-8507 北見市公園町165番地 TEL/FAX: 0157-26-9327 michal(a)mail.kitami-it.ac.jp ================================================================= Call for Papers: Special Issue on "Multilingual and Multimodal Solutions for Low-Resource, Indigenous, Endangered Languages and Dialects" Journal: Information Processing & Management (Impact Factor: 6.9) ================================================================= Guest Editors: - Karol Nowakowski (University of Yamanashi) [Managing Guest Editor] - Miyagawa So (University of Tsukuba) - Michal Ptaszynski (Kitami Institute of Technology) ----------------------------------------------------------------- INTRODUCTION ----------------------------------------------------------------- Of the approximately 7,000 languages spoken in the world today, more than 40% are considered endangered, and many indigenous languages exist without any significant digital presence or computational support. At the same time, recent advances in large language models (LLMs), multimodal AI, and cross-lingual transfer learning have dramatically raised the bar for what language technology can achieve - yet the overwhelming majority of these advances continue to benefit only a small number of high-resource languages. This Special Issue of Information Processing & Management addresses that gap directly. We invite submissions that develop, adapt, or evaluate multilingual and multimodal computational methods specifically targeting low-resource, indigenous, and endangered languages and dialects. Our goal is to bring together high-quality research that is both technically rigorous and culturally grounded, and to establish a landmark reference for this rapidly growing field. ----------------------------------------------------------------- TOPICS OF INTEREST ----------------------------------------------------------------- We welcome submissions on a wide range of topics, including but not limited to: - Construction and curation of corpora, lexicons, and annotated datasets for low-resource and endangered languages - Transfer learning, cross-lingual adaptation, and zero/few-shot methods for under-resourced languages - Speech recognition, text-to-speech, and spoken language processing for endangered and indigenous languages - Multimodal approaches combining text, audio, image, and video for language documentation and revitalization - Machine translation and cross-lingual information retrieval for minority languages and dialect varieties - NLP tools for morphologically rich, agglutinative, or polysynthetic languages - Community-centered and participatory frameworks for language technology development - Dialect identification, code-switching, and multilingual information extraction - Applications of LLMs and vision-language models (VLMs) in low-resource settings - Ethical, cultural, and data sovereignty considerations in language technology for indigenous communities ----------------------------------------------------------------- SUBMISSION GUIDELINES ----------------------------------------------------------------- Manuscripts submitted to this Special Issue must adhere to the author guidelines of Information Processing & Management: https://www.sciencedirect.com/journal/information-processing-and-management… All submissions must be original, unpublished works not currently under review at any other venue. Each manuscript will undergo a rigorous double-blind peer review process. Please ensure your submission is fully anonymized in accordance with the journal's double-blind review policy before uploading. ----------------------------------------------------------------- IMPORTANT DATES ----------------------------------------------------------------- Manuscript submission period starts: 2026-04-31 Manuscript submission period ends: 2027-08-31 Note: Manuscripts will be reviewed on a rolling basis in the order of submission. Early submission is strongly encouraged. ----------------------------------------------------------------- HOW TO SUBMIT ----------------------------------------------------------------- Submissions should be made through the journal's online Editorial Manager portal: https://www.editorialmanager.com/ipm/ When submitting, please select the article type "VSI: MMLowRes" to ensure your manuscript is correctly routed to the Special Issue. For questions about scope, fit, or any other inquiries, please contact the Karol Nowakowski (Managing Guest Editor) or Michal Ptaszynski. Karol Nowakowski - nowakowski(a)yamanashi.ac.jp Michal Ptaszynski - michal(a)mail.kitami-it.ac.jp ----------------------------------------------------------------- CLOSING NOTE ----------------------------------------------------------------- The documentation, preservation, and revitalization of the world's linguistic diversity is one of the most time-sensitive challenges at the intersection of AI and the humanities. We warmly invite researchers from academia and industry — across NLP, information science, linguistics, cognitive science, and related fields — to contribute their latest work to this Special Issue. By bringing together a coherent collection of high-quality papers on multilingual and multimodal solutions for low-resource and endangered languages, we aim to advance the state of the art, foster international and interdisciplinary collaboration, and help ensure that the benefits of modern language technology reach the communities that need them most. We look forward to your contributions. Sincerely, on behalf of all Guest Editors Michal Ptaszynski =================================================================