Maltese Trends: a daily-updated monitor corpus of news articles

The Maltese Trends corpus is an Maltese monitor corpus made up of news articles or other sources that are regularly updated from their RSS feeds (newsfeeds). The Maltese trends corpus is updated daily with new texts and grows by about 15 thousand words each day. These regular updates enable you to use the diachronic analysis tool and study word usage changes. This timestamped corpus covers the period from August 2023 to the present time. The total size of the Maltese Trends corpus is 5+ million words (as of May 2024).

Part-of-speech tagset

Unfortunately, this corpus does not contain part-of-speech tagging.

How is the Maltese Trends corpus updated?

New texts are downloaded every four hours. Every Tuesday and Friday, all texts downloaded until the previous day are added to the corpus. Duplicate and near-duplicate texts within the same month are removed, but they are kept in different months, e.g. if the same text appears in June twice, only one instance is kept. If the same text appears once in June and once in July, both are kept.

Search the Maltese Trends corpus

Sketch Engine offers a range of tools to work with this Maltese Trends corpus from news articles.

Where to find Trends

The texts in the corpus are timestamped which enables users to use Trends, the diachronic analysis tool for detecting neologisms and studying word usage changes

Maltese Trends corpus

Tools to work with the Maltese Trends corpus

A complete set of tools is available to work with this Maltese Trends corpus from news to generate:

  • word sketch – Maltese collocations categorized by grammatical relations
  • thesaurus – synonyms and similar words for every word
  • keywords – terminology extraction of one-word units
  • word lists – list of words organized by frequency
  • n-grams – frequency list of multi-word units
  • concordance – examples in context
  • trends – diachronic analysis automatically identifies neologisms and changes in use
  • text type analysis – statistics of metadata in the corpus

Corpus building

SUCHOMEL, Vít. Better Web Corpora For Corpus Linguistics And NLP. 2020. Available also from: https://is.muni.cz/th/u4rmz/. Doctoral thesis. Masaryk University, Faculty of Informatics, Brno. Supervised by Pavel RYCHLÝ.

Jakubíček, M., Kilgarriff, A., Kovář, V., Rychlý, P., & Suchomel, V. (2013, July). The TenTen corpus family. In 7th International Corpus Linguistics Conference CL (pp. 125-127).

Suchomel, V., & Pomikálek, J. (2012). Efficient web crawling for large text corpora. In Proceedings of the seventh Web as Corpus Workshop (WAC7) (pp. 39-43).

Trends – diachronic analysis

Adam Kilgarriff, Ondřej Herman, Jan Bušta, Pavel Rychlý and Miloš Jakubíček. DIACRAN: a framework for diachronic analysis. In Corpus Linguistics (CL2015), United Kingdom, July 2015.

Ondřej Herman and Vojtěch Kovář. Methods for Detection of Word Usage over Time. In Seventh Workshop on Recent Advances in Slavonic Natural Language Processing, RASLAN 2013. Brno: Tribun EU, 2013, pp. 79–85. ISBN 978-80-263-0520-0.

Genre annotation

SUCHOMEL, Vít. Genre Annotation of Web Corpora: Scheme and Issues. In Kohei Arai, Supriya Kapoor, Rahul Bhatia. Proceedings of the Future Technologies Conference (FTC) 2020, Volume 1. Vancouver, Canada: Springer Nature Switzerland AG, 2021. s. 738-754. ISBN 978-3-030-63127-7. doi:10.1007/978-3-030-63128-4_55.

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