tiWaC: Tigrynia web corpus

The Tigrynia web corpus (tiWac) is a language corpus made up of texts collected from the Internet. The corpus was prepared according to standards described in the document A Corpus Factory for Many Languages (Kilgarriff et al. at LREC 2010).

Data was crawled by the SpiderLing web spider in January 2016 with the final size 2 million words.

Document count – the most frequent web domains and domain size distribution:

Top level domains Web domains Secon level domain size distribution
org 1,023 *.blogspot.com 349 At least 1000 documents 0
com 699 *.jw.org 307 At least 500 documents 0
net 55 tewahdo.org 174 At least 100 documents 4
harnnet.org 116 At least 50 documents 8
eritreantewahdo.org 97 At least 10 documents 28
mekaleh-eritra.org 78 At least 5 documents 42
mahberemariamisrael.com 76 At least 1 document 129
asmarino.com 76
fnoteatnatiewos.com 46
erena.org 41
forumeritrea.org 38
dehnet.org 32

The content of news/politics and religious sites has a significant presence in the corpus sources.

The corpus was created in the framework of the HaBiT project (Harvesting big text data for under-resourced languages), see more at https://habit-project.eu/wiki/TigrinyaCorpus

Part-of-speech tagset

The Tigrynia WaC corpus contains POS annotation based on Universal dependencies, a multilingual parser development.

Tools to work with the Oromo Web corpus

A complete set of Sketch Engine tools is available to work with this Amharic Web corpus to generate:

  • word sketch – Tigrinya collocations categorized by grammatical relations
  • thesaurus – synonyms and similar words for every word
  • word lists – lists of Tigrinya nouns, verbs, adjectives etc. organized by frequency
  • n-grams – frequency list of multi-word units
  • concordance – examples in context

Bibliography

Corpus factory method

Kilgarriff, A., Reddy, S., Pomikálek, J., & Avinesh, P. V. S. (2010, May). A corpus factory for many languages. In LREC.

Search the Tigrinya Web corpus

Sketch Engine offers a range of tools to work with the Tigrinya Web corpus.

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