Scott, Mike (2018). A parser for news downloads. DELTA Documentacao de Estudos em Linguistica Teorica e Aplicada, 34 (1), pp. 1-16.
Abstract
This paper presents the Download Parser, a tool for handling text downloads from large online databases. Many universities have access to full-text databases which allow the user to search their holdings and then view and ideally download the full text of relevant articles, but there are important problems in practice in managing such downloads, because of factors such as duplication, unevenness of formatting standards, lack of documentation. The tool under discussion was devised to parse downloads, clean them up and standardise them, identify headlines and insert suitably marked-up headers for corpus analysis.
| Publication DOI: | https://doi.org/10.1590/0102-445083054975354211 |
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| Divisions: | College of Business and Social Sciences > School of Social Sciences & Humanities |
| Additional Information: | This content is licensed under a Creative Commons Attribution License, which permits unrestricted use and distribution, provided the original author and source are credited. |
| Uncontrolled Keywords: | Building sub-corpora,Corpus clean-up,Duplicate texts,News corpus,Linguistics and Language |
| Publication ISSN: | 1678-460X |
| Last Modified: | 30 Oct 2024 17:02 |
| Date Deposited: | 09 Jul 2018 10:25 |
| Full Text Link: | |
| Related URLs: |
http://www.scop ... tnerID=8YFLogxK
(Scopus URL) http://www.scie ... &lng=en&tlng=en (Publisher URL) |
PURE Output Type: | Article |
| Published Date: | 2018-03-01 |
| Accepted Date: | 2017-03-15 |
| Authors: |
Scott, Mike
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CORE (COnnecting REpositories)
CORE (COnnecting REpositories)