Corpus of Written Tatar

Corpus of Written Tatar
Type of site
research/educational project
Available in English/Russian/Tatar
Founded 2011 (2011)
Headquarters Tatarstan
Founder(s) Saykhunov M.R., Ibragimov T.I., Khusainov R.R.
Website corpus.tatar/en
Launched March 15, 2012 (2012-03-15)
Current status The project is being actively developed.

Corpus of Written Tatar (Tatar Corpus) is an electronic corpus of the Tatar language, which has been made available online. This collection of Tatar texts in electronic form is intended for the use of those interested in the structure, present condition and prospects of the Tatar language. The Corpus of Written Tatar language is indispensable for everyone who wants to study Tatar by the methods of corpus linguistics.
Site opened March 15, 2012. Current address http://corpus.tatar.
Available in the Tatar, Russian and English languages.

Size of the Corpus

The size of the Corpus of Tatar language at the end of 2014 is more than 116 mln words. Amount of sentences - 10 mln, the number of different word forms is about 1,5 mln.
To prevent copy, texts are stored as mixed sentences in the Corpus.

Access

Access to the Tatar Corpus for research purposes is free of charge.

About Corpus creating process

Creating of the Corpus of Tatar language was initiated in 2010 by a group of enthusiasts. The task was considered urgent as it would provide the necessary database of texts for the work on machine translation systems for the Tatar language, and it was also indispensable in solving problems in Tatar speech synthesis and recognition.

Practical value and areas of use

The basic purpose of the Corpus of Written Tatar language is to provide assistance in research into the Tatar lexicon. Furthermore, the corpus can be used in language learning, and as a source of models for various types of documents.
The Corpus of Written Tatar allows the user to do searches for words by specific features, to see the words in their contexts, and it also provides the user with frequency data.

Contextual (statistic) corpus

This type of search makes it possible to see the right, left and semantic contexts of a specific word, sorted by frequency.
Right context - words placed directly after the current word.
Left context - words placed directly before the current word.
Semantic context - words located in the same sentence with the current word, i.e. there is some kind of implied semantic connection between the words.

Complex morphological search

In 2014, the morphological marking of the Tatar Corpus was carried out. The meta-language of grammatical labels is based on the system of tags for Turkic languages developed by the international project Apertium. This project is aimed to develop automatic translating system for a big variety of languages. The main arguments in favor of choosing Apertium's morphological tagger for marking the Corpus are:
- high quality of morphological annotation;
- its being an Open Source project: all the source code and data are publicly available for all for free.
The Complex Morphological Search system developed by us in 2015-2016 allows to perform searches in the Corpus by different combinations of such parameters as word form, lemma, morphological (grammatical) tags set, beginning of the word, middle part, end of the word, and the distance between searched words. The maximum length of the search query is five tokens + accordingly four distances between them.

Tatar Speech synthesis

The Corpus of Written Tatar offers the user a unique opportunity to listen to the sentences found in a search, and also to listen any other text that the user enters to this facility, see http://search.corpus.tatar/search/sintez_en.html.

Statistical data

The creators of the Corpus of Tatar language upload various additional statistical data as soon as they become available as a result of processing the Corpus, see http://corpus.tatar/stat_en.htm.

Shortcomings and prospects

Authors

Creators of the Corpus:

With the assistance of:

Literature[1]

References

External links

This article is issued from Wikipedia - version of the 11/6/2016. The text is available under the Creative Commons Attribution/Share Alike but additional terms may apply for the media files.