NILC-Metrix: assessing the complexity of written and spoken language in Brazilian Portuguese.
The objective of this paper is to present and make publicly available the NILC-Metrix, a computational system comprising 200 metrics proposed in studies on discourse, psycholinguistics, cognitive and computational linguistics, to assess textual complexity in Brazilian Portuguese (BP). The metrics ar...
| Publicado en: | Language Resources & Evaluation Vol. 58; no. 1; pp. 73 - 111 |
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| Autores principales: | , , , , |
| Formato: | Artículo |
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Springer Nature
Mar2024
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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=176079992&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 176079992 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 1574020X 179V jtl: Language Resources & Evaluation issn: 1574020X maglogo: N pubinfo: dt: Mar2024 vid: 58 iid: 1 pid: 237 pub: Springer Nature artinfo: ui: 176079992 10.1007/s10579-023-09693-w ppf: 73 ppct: 38 formats: fmt: – @attributes: type: T – @attributes: type: P size: 1.1MB tig: atl: NILC-Metrix: assessing the complexity of written and spoken language in Brazilian Portuguese. aug: au: Leal, Sidney Evaldo Duran, Magali Sanches Scarton, Carolina Evaristo Hartmann, Nathan Siegle Aluísio, Sandra Maria affil: https://ror.org/036rp1748 Instituto de Ciências Matemáticas e de Computação, University of São Paulo, São Carlos, Brazil https://ror.org/05krs5044 The University of Sheffield, Sheffield, UK Itaú Unibanco, São Paulo, Brazil su: Oral communication Written communication School children Children's films Portuguese language Motion picture subtitles Readability (Literary style) Children's literature sug: subj: Oral communication Written communication School children Children's films Portuguese language Motion picture subtitles Readability (Literary style) Children's literature keyword: Brazilian Portuguese Readability Text complexity metrics ab: The objective of this paper is to present and make publicly available the NILC-Metrix, a computational system comprising 200 metrics proposed in studies on discourse, psycholinguistics, cognitive and computational linguistics, to assess textual complexity in Brazilian Portuguese (BP). The metrics are relevant for descriptive analysis and the creation of computational models and can be used to extract information from various linguistic levels of written and spoken language. The metrics were developed during the last 13 years, starting in the end of 2007, within the scope of the PorSimples project. Once the PorSimples finished, new metrics were added to the initial 48 metrics of the Coh-Metrix-Port tool. Coh-Metrix-Port adapted some metrics to BP from the Coh-Metrix tool that computes metrics related to cohesion and coherence of texts in English. Given the large number of metrics, we present them following an organisation similar to the metrics of Coh-Metrix v3.0 to facilitate comparisons made with metrics in Portuguese and English, in future studies using both tools. In this paper, we illustrate the potential of the NILC-Metrix by presenting three applications: (i) a descriptive analysis of the differences between children's film subtitles and texts written for Elementary School I (comprises classes from 1st to 5th grade) and II (Final Years) (comprises classes from 6th to 9th grade, in an age group that corresponds to the transition between childhood and adolescence); (ii) a new predictor of textual complexity for the corpus of original and simplified texts of the PorSimples project; (iii) a complexity prediction model for school grades, using transcripts of children's story narratives told by teenagers. For each application, we evaluate which groups of metrics are more discriminative, showing their contribution for each task. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Language Resources & Evaluation is a copyright of Springer, 2024. All Rights Reserved. item: Language Resources & Evaluation holder: Springer Nature dt: @attributes: year: 2024 holdings: @attributes: islocal: N |
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