--- title: "Taiga Someya — author profile and papers" description: "Taiga Someya, National Institute for Japanese Language and Linguistics: 2 papers on Elamur Research (2024–2026), h-index 3 — affiliations, topics…" canonical: "https://research.elamur.ai/free/en/authors/taiga-someya/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/taiga-someya/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Taiga Someya # Taiga Someya Taiga Someya has 2 papers in our library, in 2024–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/), [Psycholinguistics & language acquisition](https://md.research.elamur.ai/free/en/topics/psycholinguistics/); often with [Ryo Yoshida](https://md.research.elamur.ai/free/en/authors/ryo-yoshida/), [Yohei Oseki](https://md.research.elamur.ai/free/en/authors/yohei-oseki/), [Tatsuki Kuribayashi](https://md.research.elamur.ai/free/en/authors/tatsuki-kuribayashi/). 2 papers in our library · 2024–2026 [OpenAlex](https://openalex.org/A5102620405) · [**h-index 3**](https://openalex.org/authors/A5102620405) · [31 works](https://openalex.org/works?filter=author.id:A5102620405) · [54 citations](https://openalex.org/works?filter=author.id:A5102620405&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/taiga-someya/#papers) · [🔗 11 citations in our library](https://md.research.elamur.ai/free/en/authors/taiga-someya/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Star rank #4816](https://md.research.elamur.ai/free/en/paper-stars/page/49/#star-4816) 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=Taiga+Someya) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Taiga+Someya) · [dblp](https://dblp.org/search?q=Taiga+Someya) · [ACL Anthology](https://aclanthology.org/search/?q=Taiga+Someya) ## Affiliations [🎓**The University of Tokyo** Tokyo · Japan 2023–2026 · 26 papers*current*](https://md.research.elamur.ai/free/en/universities/the-university-of-tokyo/) · [🔬**National Institute for Japanese Language and Linguistics** Tokyo · Japan 2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/labs/national-institute-for-japanese-language-and-linguistics/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed. ## Topics [Language models & pretraining (1)](https://md.research.elamur.ai/free/en/topics/language-models/) · [Evaluation & benchmarks (1)](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Psycholinguistics & language acquisition (1)](https://md.research.elamur.ai/free/en/topics/psycholinguistics/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/papers/yoshida-2026-existence-proof-neural-language-models/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/papers/someya-2024-targeted-syntactic-evaluation-chomsky-hierarchy/) ## Papers The most cited first (OpenAlex and our library). 1. **[Targeted Syntactic Evaluation on the Chomsky Hierarchy](https://md.research.elamur.ai/free/en/papers/someya-2024-targeted-syntactic-evaluation-chomsky-hierarchy/)** *(2024 · 10 citations)* The authors propose a new approach to Targeted Syntactic Evaluation. Rather than testing individual grammatical phenomena, they examine how language models handle constructions of varying complexity according to the Chomsky hierarchy. To this end, four artificial formal languages are constructed, each modeling a… 2. **[An Existence Proof for Neural Language Models That Can Explain Garden-Path Effects via Surprisal](https://md.research.elamur.ai/free/en/papers/yoshida-2026-existence-proof-neural-language-models/)** *(2026 · 1 citation)* Neural language models (LMs) estimate reading difficulty well on simple, naturalistic text. On garden-path sentences, however, their surprisal predicts far less slowdown than humans actually show. Several researchers have taken this gap as evidence that syntactic disambiguation cost lies outside surprisal theory.… ## Also in our library 1 more work of theirs is in our library without a page here yet; it will appear as we publish them. ## Co-authors here 3 co-authors with a page, the most papers together first. - [Ryo Yoshida](https://md.research.elamur.ai/free/en/authors/ryo-yoshida/) ×2 - [Yohei Oseki](https://md.research.elamur.ai/free/en/authors/yohei-oseki/) ×2 - [Tatsuki Kuribayashi](https://md.research.elamur.ai/free/en/authors/tatsuki-kuribayashi/) ## Cited by Papers of our library cite their works 11 times (of the 140,884 papers whose bibliographies we read); [1 citing paper with a page here →](https://md.research.elamur.ai/free/en/authors/taiga-someya/cited-by/).