O Corpus de Português Escrito em Periódicos - CoPEP

Kuhn, Tanara Zingano; Ferreira, José Pedro

doi:10.1590/1678-460x2020360209

Cited by 4 publications

(8 citation statements)

References 4 publications

(5 reference statements)

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“…Another specialized Portuguese corpus, however, was employed occasionally to obtain additional evidence: the Corpus of Portuguese from Academic Journals (CoPEP; Kuhn & Ferreira, 2018). Unlike other specialized corpora available in Sketch Engine, the data processing type of this corpus allows keyword extraction, making it suitable to look for supplementary information.…”

Section: Other Structuresmentioning

confidence: 99%

“…The keyword analysis of the first stage consisted of a series of five analyses in the following order: (1) enRAs against enTenTen15, (2) enRAs against enTenTen20, (3) ptRAs against ptTenTen11, (4) CoPEP (Kuhn & Ferreira, 2018) against ptTenTen11, and (5) jaRAs against jaTenTen 11 LUW.…”

Section: Cross-linguistic Variationmentioning

confidence: 99%

“…To add to these results, the fourth analysis compared CoPEP (Kuhn & Ferreira, 2018) with ptTenTen11. Table 7.4 displays the results.…”

Section: Psychological Priming and The Ra Genrementioning

confidence: 99%

“…The keywords relate principally to STATISTICS (estatisticamente, "statistically," significância, "significance," variáveis, "variables," amostra, "sample," correlação, "correlation," prevalência, "prevalence," and variável, "variable"), HEALTH (enfermagem, "nursing," enfermeiros, "male nurses," doentes, "sick persons," and terapêutica, "therapeutic"), PASSIVE VOICE (verificou-se, "[it] was verified," observou-se, "[it] was observed," and utilizou-se, "[it] was used"), and TEXT COMPONENTS (Tabela_1, "Table_1," Tabela_2, "Table_2," Figura_1, "Figure_1," Tabela_3, "Table_3," and Figura_2, "Figure_2"). Because CoPEP (Kuhn & Ferreira, 2018) is composed of several journal genres, these semantic sets do not represent genre-specificity. However, they do seem to reveal an intermediate layer between ptRAs and ptTenTen11, that is, the scholarly journal Portuguese in opposition to general Portuguese.…”

Section: Psychological Priming and The Ra Genrementioning

confidence: 99%

“…Third, the findings suggest that discipline may be more relevant than genre for building useful corpora for language education and translation, since there seems to be a stronger connection between lexical typicality and discipline than between lexical typicality and genre. In this sense, initiatives such as that of Kuhn (2017) and Kuhn and Ferreira (2018), who compiled a multi-genre corpus of journal texts in Portuguese according to knowledge areas, are extremely valuable.…”

Section: Type Of Research (Descriptive Qualitative)mentioning

confidence: 99%

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Patterns of lexis in the research article genre: a contrastive study of lexical priming in English, Portuguese and Japanese

Aragão

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Section: Other Structuresmentioning

confidence: 99%

Section: Cross-linguistic Variationmentioning

confidence: 99%

“…To add to these results, the fourth analysis compared CoPEP (Kuhn & Ferreira, 2018) with ptTenTen11. Table 7.4 displays the results.…”

Section: Psychological Priming and The Ra Genrementioning

confidence: 99%

Section: Psychological Priming and The Ra Genrementioning

confidence: 99%

Section: Type Of Research (Descriptive Qualitative)mentioning

confidence: 99%

See 3 more Smart Citations

Patterns of lexis in the research article genre: a contrastive study of lexical priming in English, Portuguese and Japanese

Aragão

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Towards corpora creation from social web in Brazilian Portuguese to support public security analyses and decisions

Carvalho

Costa²

2022

LHT

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PurposeThis article presents two Brazilian Portuguese corpora collected from different media concerning public security issues in a specific location. The primary motivation is supporting analyses, so security authorities can make appropriate decisions about their actions.Design/methodology/approachThe corpora were obtained through web scraping from a newspaper's website and tweets from a Brazilian metropolitan region. Natural language processing was applied considering: text cleaning, lemmatization, summarization, part-of-speech and dependencies parsing, named entities recognition, and topic modeling.FindingsSeveral results were obtained based on the methodology used, highlighting some: an example of a summarization using an automated process; dependency parsing; the most common topics in each corpus; the forty named entities and the most common slogans were extracted, highlighting those linked to public security.Research limitations/implicationsSome critical tasks were identified for the research perspective, related to the applied methodology: the treatment of noise from obtaining news on their source websites, passing through textual elements quite present in social network posts such as abbreviations, emojis/emoticons, and even writing errors; the treatment of subjectivity, to eliminate noise from irony and sarcasm; the search for authentic news of issues within the target domain. All these tasks aim to improve the process to enable interested authorities to perform accurate analyses.Practical implicationsThe corpora dedicated to the public security domain enable several analyses, such as mining public opinion on security actions in a given location; understanding criminals' behaviors reported in the news or even on social networks and drawing their attitudes timeline; detecting movements that may cause damage to public property and people welfare through texts from social networks; extracting the history and repercussions of police actions, crossing news with records on social networks; among many other possibilities.Originality/valueThe work on behalf of the corpora reported in this text represents one of the first initiatives to create textual bases in Portuguese, dedicated to Brazil's specific public security domain.

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Register variation in understudied academic contexts

Goulart

2022

RiCL

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A major focus of register research has been language variation in academic discourse. These studies describe patterns of language use in spoken and written academic texts. Although there have been numerous studies of this type, most have focused on academic registers in English and on descriptions of published academic registers (e.g. textbooks, research articles, and abstracts). Much less work has been caried out on academic registers in other languages or unpublished academic registers. This special issue presents five studies describing the language patterns of understudied academic discourse in English (learners’ writing and statutory law), as well as descriptions of published academic registers in languages other than English (Russian, Portuguese, and Arabic). We hope that the papers in this special issue will pave the way for future research in other understudied academic contexts.

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O Corpus de Português Escrito em Periódicos - CoPEP

Cited by 4 publications

References 4 publications

Patterns of lexis in the research article genre: a contrastive study of lexical priming in English, Portuguese and Japanese

Patterns of lexis in the research article genre: a contrastive study of lexical priming in English, Portuguese and Japanese

Towards corpora creation from social web in Brazilian Portuguese to support public security analyses and decisions

Register variation in understudied academic contexts

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