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lexicography, and its various manifestations in speech. The key goal is building
pragmatic oriented linguistic models to serve as a basis for the creation of
automated systems of processing data in the Tatar language. Special attention
is paid to the decisive issues of Tatar terminology in cyberspace.
So far, a full-featured computer model of the Tatar morphology has been
created. There are several options to choose from given the structural specificity
of the Tatar language and applied problems to be solved. The Generative
morphology model based on the inflection rules, while operating a bit slower,
provides complete analysis of word forms taking into account the agglutinative
nature of the language and allows to recognize word forms of potentially
unlimited length. The Paradigmatic model provides rapid detection of word
forms and their correctness analysis with up to 95 percent accuracy. The model
is used in the search engine of the RUSSIA University Information System
(by the Centre of Information Technologies of the Lomonosov Moscow State
University), as well as in the MS Windows and MS Office applications. The
recognition speed reaches 100 words in 0.014 seconds.
In addition, within a joint project with the Bilkent University (Turkey) a twolevel
morphology model has been developed working under the well-known
PC-KIMMO shell programme. It is used as a part of the Tatar-Turkish machine
translator.
A structural functional model of Tatar affixational morphemes has also
been created, allowing for the construction of various pragmatic oriented
morphological models. It served as a basis for the integrated “Tatar Morpheme”
software data set. In fact, it is a computer workstation for developing various
linguistic processors, and for educational and research activities in the field of
Tatar linguistics. The “Tatar Morpheme” can be successfully used as a research
tool for other languages as well.
The Tatar-Russian machine translator of Tatar proper names is especially
essential for automated systems of Civil Registry Offices and Passport and
Visa Services. The programme is also used to automatically generate names in
reliance on the Tatar names component model.
ABBYY FineReader OCR software tool has been successfully localized to Tatar.
Due to the built-in Tatar morphology component Tatar texts are recognized
with the same speed and accuracy level as Russian and English ones.
We are currently working on the creation and support of a digital Tatar corpus,
i.e. an Internet-based national corpus with the following components:
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• Digital raw (unformatted) texts (newspapers, magazines, books,
documents, etc.);