RastrOS Project: Natural Language Processing contributions to the development of an eye-tracking corpus with predictability norms for Brazilian Portuguese.
This article presents RastrOS, a new eye-tracking corpus of eye movement data from university students during silent reading of paragraphs of texts in Brazilian Portuguese (BP). The article shows the potential of the corpus for natural language processing (NLP) using it to evaluate the sentence comp...
| Publicado en: | Language Resources & Evaluation Vol. 56; no. 4; pp. 1333 - 1373 |
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| Autores principales: | , , , |
| Formato: | Artículo |
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Springer Nature
Dec2022
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=159972000&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 159972000 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 1574020X 179V jtl: Language Resources & Evaluation issn: 1574020X maglogo: N pubinfo: dt: Dec2022 vid: 56 iid: 4 pid: 237 pub: Springer Nature artinfo: ui: 159972000 10.1007/s10579-022-09609-0 ppf: 1333 ppct: 40 formats: fmt: – @attributes: type: T – @attributes: type: P size: 1.4MB tig: atl: RastrOS Project: Natural Language Processing contributions to the development of an eye-tracking corpus with predictability norms for Brazilian Portuguese. aug: au: Leal, Sidney Evaldo Lukasova, Katerina Carthery-Goulart, Maria Teresa Aluísio, Sandra Maria affil: Instituto de Ciências Matemáticas e de Computação - University of São Paulo, São Paulo, Brazil Center of Mathematics, Computing and Cognition, Federal University of ABC, São Paulo, Brazil su: Open Software Foundation Natural language processing Portuguese language Eye tracking Similarity (Psychology) Silent reading Corpora Mental representation sug: subj: Open Software Foundation Natural language processing Portuguese language Eye tracking Similarity (Psychology) Silent reading Corpora Mental representation keyword: Brazilian Portuguese Eye-tracking corpus Predictability norms Sentence complexity prediction ab: This article presents RastrOS, a new eye-tracking corpus of eye movement data from university students during silent reading of paragraphs of texts in Brazilian Portuguese (BP). The article shows the potential of the corpus for natural language processing (NLP) using it to evaluate the sentence complexity prediction task in BP and it also focuses on the description of NLP resources and methods developed to create the corpus. Specifically, we present: (i) the method used to select the corpus paragraphs from large corpora, using linguistic metrics and clustering algorithms; (ii) the platform for collecting the Cloze test, which is also responsible for creating the project datasets, and (iii) the hybrid semantic similarity method, based on word embedding models and contextualised word representations, used to generate semantic predictability norms. RastrOS can be downloaded from the open science framework repository with the computational infrastructure mentioned above. Datasets with predictability norms of 393 participants and eye-tracking data of 37 participants are available in the OSF repository for this work (https://osf.io/9jxg3/). pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Language Resources & Evaluation is a copyright of Springer, 2022. All Rights Reserved. item: Language Resources & Evaluation holder: Springer Nature dt: @attributes: year: 2022 holdings: @attributes: islocal: N |
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