Genre annotation for the Web
نویسندگان
چکیده
Abstract This paper describes a digital curation study aimed at comparing the composition of large Web corpora, such as enTenTen, ukWac or ruWac, by means automatic text classification. First, presents Deep Learning model suitable for classifying texts from corpora using small number communicative functions, Argumentation Reporting. Second, it results applying classification to these and compares their composition. Finally, introduces framework interpreting genre linguistic features. The can help in general reference obtained across languages.
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ژورنال
عنوان ژورنال: Register studies
سال: 2021
ISSN: ['2542-9485', '2542-9477']
DOI: https://doi.org/10.1075/rs.19015.sha