Get started
Author

Naho Orita

Observed name: Orita, Naho
Institution: Waseda University
ORCID: 0000-0002-5504-2502
Observed ORCID: 0000-0002-5504-2502
OpenAlex ID: A5080305207
Three-Year-Olds’ Understanding of Know and Think
2014 · Rachel Dudley, Naho Orita, et al. · Studies in theoretical psycholinguistics · 91
Why discourse affects speakers' choice of referring expressions
2015 · Naho Orita, Eliana Vornov, et al. · 30
PDF
Modeling Discourse Segments in Lyrics Using Repeated Patterns
2016 · Kento Watanabe, Yuichiroh Matsubayashi, et al. · International Conference on Computational Linguistics · 10
Predicting Japanese scrambling in the wild
2017 · Naho Orita · Workshop on Cognitive Modeling and Computational Linguistics (CMCL) · 5
PDF
Quantifying the role of discourse topicality in speakers’ choices of referring expressions
2014 · Naho Orita, Naomi Feldman, et al. · Workshop on Cognitive Modeling and Computational Linguistics (CMCL) · 5
PDF
Automated Generation of Multiple-Choice Cloze Questions for Assessing English Vocabulary Using GPT-turbo 3.5
2024 · Wang, Qiao, Rose, Ralph, et al. · arXiv (Cornell University) · 4
PDF
Japanese children’s knowledge of the locality ofzibunandkare
2021 · Naho Orita, Hajime Ono, et al. · Language Acquisition · 4
Incremental Prediction of Sentence-final Verbs: Humans versus Machines
2016 · Alvin Grissom II, Naho Orita, et al. · Conference on Computational Natural Language Learning · 4
PDF
Discovering Pronoun Categories using Discourse Information
2013 · Naho Orita, Rebecca Katherine McKeown, et al. · eScholarship (California Digital Library) · 4
PDF
Evaluation of automated vocabulary quiz generation with VocQGen
2025 · Qiao Wang, Ralph Rose, et al. · Vocabulary Learning and Instruction · 2
Informativity, topicality, and speech cost: comparing models of speakers’ choices of referring expressions
2021 · Naho Orita, Eliana Vornov, et al. · Discourse Processes · 2
Evidentials in Causal Premise Semantics: Theoretical and Experimental Investigation
2018 · Yurie Hara, Naho Orita, et al. · Lecture notes in computer science · 2
Toward the automatic extraction of knowledge of usable goods
2016 · Uemura, Mei, 83239, et al. · Waseda University Repository (Waseda University) · 2
PDF
Theoretical Linguistics Rivals Embeddings in Language Clustering for Multilingual Named Entity Recognition
2023 · Sakura Imai, Daisuke Kawahara, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 1
PDF
A neurolinguistic investigation into semantic differences of evidentiality and modality
2020 · Hara, Yurie, Orita, Naho, et al. · Proceedings of Sinn und Bedeutung · 1
Social Priming in L1 Japanese Speech Perception
2026 · Naho Orita · Language and Speech
PDF
Testing Sloppy Interpretation of Null Subjects in Japanese and Spanish
2026 · Naho Orita · Figshare
Human-LLM Alignment in Language Attitudes Toward Non-Native Japanese
2026 · Orita, Naho, Ogawa, Hayato, et al. · arXiv (Cornell University)
PDF
Psychometric Validation of AI-Generated Multiple-Choice Cloze Vocabulary Items
2026 · Qiao Wang, Ralph Rose, et al. · SSRN Electronic Journal
Social priming of speech perception in Japanese: A preliminary study
2025 · Naho Orita, Utako Minai · The Journal of the Acoustical Society of America
Evaluation Dataset of Multiple-Choice Cloze Items for Vocabulary Training and Testing
2022 · Ralph L. Rose, Naho Orita, et al. · ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp)
PDF
Evidentiality, Modality and Causality -- corpus and neurolinguistic studies
2019 · Yurie Hara, Naho Orita, et al. · IEICE Technical Report; IEICE Tech. Rep.
Japanese children's knowledge of zibun and kare
2019 · Naho Orita, Hajime Ono, et al. · IEICE Technical Report; IEICE Tech. Rep.
Verb arguments in Japanese picture books.
2019 · Naho Orita, Asumi Suzuki, et al. · eScholarship (California Digital Library)
Predictive Processing of Japanese Classifier-Noun Combinations -- An ERP study
2018 · Sakai Hiromu, Yohei Oseki, et al. · IEICE Technical Report; IEICE Tech. Rep.
Works count: 34
Citation count: 167
H-index: 5
I10-index: 3
Year
Topic
Type