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.
| Original language | English |
|---|---|
| Pages (from-to) | 1-16 |
| Number of pages | 16 |
| Journal | DELTA Documentacao de Estudos em Linguistica Teorica e Aplicada |
| Volume | 34 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 1 Mar 2018 |
Bibliographical note
This content is licensed under a Creative Commons Attribution License, which permits unrestricted use and distribution, provided the original author and source are credited.Keywords
- Building sub-corpora
- Corpus clean-up
- Duplicate texts
- News corpus