= D3.2b: An Afaan Oromo corpus, sized 3 million words, morphologically annotated =

== Building the Oromo Web corpus ==

The Building of the corpus is described at [[OromoCorpus]].

== Corpus properties ==
Basic properties of corpus sources are summarised below.

The size of corpus structures:
||=Document count    =||     8,851||
||=Paragraph count   =||    76,115||
||=Sentence count    =||   250,432||
||=Token count       =|| 5,091,696||
||=Latin script lexicon size =||   273,056||

== Morphological annotation ==

The corpus was tagged by a simple tagger based on regular expressions and a lexicon of most frequent words.

Manual evaluation of the tagging accuracy will be done in the next phase of the HaBiT project.


=== Tag-set ===

The tag-set is based on the POS tags of Universal Dependences [2].

||=Tag=||=Description=||
||ADJ|| adjective ||
||ADV|| adverb ||
||AUX|| auxiliary ||
||CONJ|| conjunction ||
||DET|| determiner ||
||NOUN|| noun ||
||NUM|| numeral ||
||PREP|| preposition ||
||PRON|| pronoun ||
||PUNCT|| punctuation ||
||SYM|| symbol ||
||VERB|| verb ||

=== Tag frequencies ===

The most frequent parts of speech in the corpus are nouns. The most frequent part of speech tags:
||=Part of speech tag =||=Token count =||
||NOUN || 2,873,618||
||PUNCT || 637,157||
||PREP || 296,625||
||PRON || 281,346||
||ADJ || 180,454||
||NUM || 166,468||
||VERB || 135,831||
||CONJ || 130,666||
||SYM || 119,514||
||ADV || 111,580||
||AUX || 110,688||
||DET || 47,749||



== Corpus query interface ==
The corpus has been indexed by corpus manager and query system Sketch Engine [1]. The corpus can be searched at http://corpora.fi.muni.cz/habit/run.cgi/first_form?corpname=orwac16.

== References ==
 - [1] -- Kilgarriff, Adam, Vít Baisa, Jan Bušta, Miloš Jakubíček, Vojtěch Kovář, Jan Michelfeit, Pavel Rychlý, and Vít Suchomel. "The Sketch Engine: ten years on." Lexicography 1, no. 1 (2014): 7-36.
 - [2] -- Nivre, Joakim, et al. "Universal dependencies v1: A multilingual treebank collection." Proceedings of the 10th International Conference on Language Resources and Evaluation (LREC 2016). 2016.