--- title: "Yuzuki Tsukagoshi — author profile and papers in our library" description: "Yuzuki Tsukagoshi, The University of Tokyo: 2 papers on Elamur Research (2026), h-index 0 — affiliations, topics, co-authors and who cites…" canonical: "https://research.elamur.ai/free/en/authors/yuzuki-tsukagoshi/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yuzuki-tsukagoshi/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Yuzuki Tsukagoshi # Yuzuki Tsukagoshi Yuzuki Tsukagoshi has 2 papers in our library, in 2026, most of them on [Machine translation](https://md.research.elamur.ai/free/en/topics/machine-translation/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5107525626) · [ORCID](https://orcid.org/0009-0008-6917-1699) · [**h-index 0**](https://openalex.org/authors/A5107525626) · [14 works](https://openalex.org/works?filter=author.id:A5107525626) · [0 citations](https://openalex.org/works?filter=author.id:A5107525626&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/yuzuki-tsukagoshi/#papers) · [⭐ Paper Stars ranking: #12326](https://md.research.elamur.ai/free/en/paper-stars/page/124/#star-12326) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Yuzuki+Tsukagoshi) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yuzuki+Tsukagoshi) · [dblp](https://dblp.org/search?q=Yuzuki+Tsukagoshi) · [ACL Anthology](https://aclanthology.org/search/?q=Yuzuki+Tsukagoshi) ## Affiliations [🎓**The University of Tokyo** Tokyo · Japan 2023–2026 · 11 papers*current*](https://md.research.elamur.ai/free/en/universities/the-university-of-tokyo/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 6 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Literature and Literary Theory · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/literature-and-literary-theory/) · [Artificial Intelligence · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Science · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Religious studies · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/religious-studies/) 🧭 Topics 1 Research subjects and languages the work is about.[Machine translation · 1 work](https://md.research.elamur.ai/free/en/topics/machine-translation/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/yuzuki-tsukagoshi/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[Aligned Parallel Corpus of the Vedic Saṁhitās for Machine Translation](https://md.research.elamur.ai/free/en/papers/tsukagoshi-2026-aligned-parallel-corpus-vedic-sa/)** *(2026)* Vedic Sanskrit, the oldest layer of Indo-Aryan, has long had respected scholarly translations. However, these were made for philologists, not for machine learning, so usable source–target pairs for training and testing MT systems have been lacking. Most Sanskrit MT work also targets Classical rather than Vedic… 2. **[Quantifying Text Reuse Across Three Kṛṣṇa Yajurveda Recensions: Using Multi-Algorithm Computational Collation](https://md.research.elamur.ai/free/en/papers/miyagawa-2026-quantifying-text-reuse-across-three/)** *(2026)* The Kṛṣṇa Yajurveda survives in parallel recensions whose textual overlap had never been measured systematically. ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/): [LREC 2026](https://md.research.elamur.ai/free/en/venues/lrec/2026/) - [International Conference on Natural Language Processing for the Digital Humanities](https://md.research.elamur.ai/free/en/venues/nlp4dh/): [International Conference on Natural Language Processing for the Digital Humanities 2026](https://md.research.elamur.ai/free/en/venues/nlp4dh/2026/) Updated 1 November 2026