Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Yohei Oseki"'
Autor:
Yohei Oseki, Alec Marantz
Publikováno v:
Frontiers in Psychology, Vol 11 (2020)
One of the central debates in the cognitive science of language has revolved around the nature of human linguistic competence. Whether syntactic competence should be characterized by abstract hierarchical structures or reduced to surface linear strin
Externí odkaz:
https://doaj.org/article/e282194daa26479a821a626db275b3c4
Autor:
Tal Linzen, Yohei Oseki
Publikováno v:
Glossa, Vol 3, Iss 1 (2018)
The reliability of acceptability judgments made by individual linguists has often been called into question. Recent large-scale replication studies conducted in response to this criticism have shown that the majority of published English acceptabilit
Externí odkaz:
https://doaj.org/article/704083d251d64853b82eab4c624a7429
The entorhinal cortex uses grid-like neural representations (grid cells) for spatial processing. Neural representations for concepts (concept cells), which presumably support high-level conceptual processing, have been also found in the same brain re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f21b3a4bee469dc70998ddbd745d4608
https://doi.org/10.1101/2023.05.11.540307
https://doi.org/10.1101/2023.05.11.540307
Autor:
Nora Hollenstein, Emmanuele Chersoni, Cassandra Jacobs, Yohei Oseki, Laurent Prévot, Enrico Santus
Publikováno v:
Hollenstein, N, Chersoni, E, Jacobs, C, Oseki, Y, Prévot, L & Santus, E 2022, CMCL 2022 Shared Task on Multilingual and Crosslingual Prediction of Human Reading Behavior . i Proceedings of the Workshop on Cognitive Modeling and Computational Linguistics . Association for Computational Linguistics, Dublin, Ireland, s. 121-129 . https://doi.org/10.18653/v1/2022.cmcl-1.14
We present the second shared task on eye-tracking data prediction of the Cognitive Modeling and Computational Linguistics Workshop (CMCL). Differently from the previous edition, participating teams are asked to predict eye-tracking features from mult
In computational linguistics, it has been shown that hierarchical structures make language models (LMs) more human-like. However, the previous literature has been agnostic about a parsing strategy of the hierarchical models. In this paper, we investi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ce08d757b5b97b65598bb77a530cc108
http://arxiv.org/abs/2109.04939
http://arxiv.org/abs/2109.04939
Publikováno v:
Saldana, C, Oseki, Y & Culbertson, J 2021, ' Cross-linguistic patterns of morpheme order reflect cognitive biases : An experimental study of case and number morphology ', Journal of Memory and Language, vol. 118, 104204 . https://doi.org/10.1016/j.jml.2020.104204
A foundational goal of linguistics is to investigate whether shared features of the human cognitive system can explain how linguistic patterns are distributed across languages. In this paper we report a series of artificial language learning experime
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3a113c789008868d040a3030c33e6795
https://hdl.handle.net/20.500.11820/0cf59ea6-8ed0-4319-9f36-a78adebafb5a
https://hdl.handle.net/20.500.11820/0cf59ea6-8ed0-4319-9f36-a78adebafb5a
Recently, a neuroscientific approach has revealed that humans understand language while subconsciously predicting the next word from the preceding context. Most studies on human word prediction have investigated the correlations between brain activit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::36a21c073131d3cb2ba7421065f4f607
https://doi.org/10.1101/2021.03.25.436887
https://doi.org/10.1101/2021.03.25.436887
Autor:
Nora Hollenstein, Enrico Santus, Laurent Prevot, Yohei Oseki, Emmanuele Chersoni, Cassandra L. Jacobs
Publikováno v:
CMLS
Hollenstein, N, Chersoni, E, Jacobs, C L, Oseki, Y, Prévot, L & Santus, E 2021, CMCL 2021 Shared Task on Eye-Tracking Prediction . in Proceedings of the Workshop on Cognitive Modeling and Computational Linguistics . Association for Computational Linguistics (ACL), pp. 72-78 . https://doi.org/10.18653/v1/2021.cmcl-1.7
Hollenstein, N, Chersoni, E, Jacobs, C L, Oseki, Y, Prévot, L & Santus, E 2021, CMCL 2021 Shared Task on Eye-Tracking Prediction . in Proceedings of the Workshop on Cognitive Modeling and Computational Linguistics . Association for Computational Linguistics (ACL), pp. 72-78 . https://doi.org/10.18653/v1/2021.cmcl-1.7
Eye-tracking data from reading represent an important resource for both linguistics and natural language processing. The ability to accurately model gaze features is crucial to advance our understanding of language processing. This paper describes th
Publikováno v:
ACL/IJCNLP (1)
application/pdf
Tohoku University / Langsmith Inc.
University of Tokyo / RIKEN
University of Tokyo
NINJAL
Tohoku University / RIKEN
Tohoku University / Langsmith Inc.
University of Tokyo / RIKEN
University of Tokyo
NINJAL
Tohoku University / RIKEN
Autor:
Yohei Oseki, Hiroshi Noji
Publikováno v:
ACL/IJCNLP (Findings)
As a language model that integrates traditional symbolic operations and flexible neural representations, recurrent neural network grammars (RNNGs) have attracted great attention from both scientific and engineering perspectives. However, RNNGs are kn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::28e4a2b99d84e9692afa87d940741940