Ilnar Salimzianov's Personal Site

Resume

Ilnar Salimzianov, Computational Linguist / NLP Developer

Websites

Personal page, Professional services, Educational hobby project

Contact

Portfolio

Gitlab, Github, Sourceforge

Please also see the Projects page.

Programming skills

Languages: Python, Racket, Clojure
Shells: GNU Bash
Experience with: NLP & Data: NLTK, Spacy, Scikit-learn, Pandas, Fastapi, Flask, Scrapy, Transformers | Infra: GNU Make, Pyinstaller, Docker, Terraform | Low-Resource NLP: Apertium, HFST, VISL CG-3 | Demo UIs: Streamlit Testing: Pytest

Education

University of Stuttgart (2014-2017): M.Sc. degree in Computational Linguistics
Kazan State University (2006-2011): Specialist's degree in German Philology, focus Linguistics

Natural Languages

Tatar (native), Russian, German (TestDaF 5,5,5,5), English (TOEFL iBT 112), Kazakh, Turkish

Experience

09/2021-10/2023 Computational linguist / NLP developer

Orpheus Technology Ltd (prowritingaid.com)

R&D

01/2018-11/2021 Remote research assistant/computational linguist

Nazarbayev University, Nur-Sultan, Kazakhstan

Trained a new speech-to-text system for Kazakh using the Coqui STT framework (work in progress, details here: https://arxiv.org/abs/2107.10637)
Wrote a web interface to an existing Kazakh speech-to-text system and packaged the app into a Docker image. Details at https://taruen.com/hub.html
Gathered data and helped to launch https://commonvoice.mozilla.org/kk and https://commonvoice.mozilla.org/tt
Extended the Kazakh morphological transducer apertium-kaz with new stems, with support for few more affixes of Kazakh, with a Constraint Grammar including dependency parsing capabilities in the Universal Dependencies framework. All of this is documented under https://taruen.com/apertiumpp/apertiumpp-kaz/ and http://taruen.com/apertium-kaz
Finished updating the UD_KTB Kazakh treebank to the second version of Universal Dependencies annotation guidelines, along with an overall testing and error-checking of both the treebank and apertium-kaz

07/2017-03/2018 Remote software contractor

Central Eurasian Studies Department, Indiana University, Bloomington (United States)

Developed a closed domain Tatar-to-English machine translator

04/2015-03/2017 Research assistant

Institute for Natural Language Processing, University of Stuttgart

Developed a dependency-based sentence simplifier/compressor for German

05/2014-08/2014 Student developer

Apertium project as part of the Google Summer of Code 2014 programme

Developed a prototype Tatar-Russian machine translator

05/2012-08/2012 Student developer

Apertium project, Google Summer of Code 2012 programme

Developed a rule-based Kazakh-Tatar machine translator

Publications & preprints

Sevilay Bayatlı, Ilnar Salimzianov, Jonathan North Washington (2023). Bayat, a variety of Iraq Turkic spoken in villages around Kerkük. Journal of Endangered Turkic Languages, Vol. 14, Issue 23 (upcoming)
Washington, Jonathan N.; Tyers, Francis M; Salimzianov, Ilnar (2022). Non-finite verb forms in Turkic exhibit syncretism, not multifunctionality. Folia Linguistica, Vol. 56, Issue. 3, p. 693.
Ilnar Salimzianov (2021). A baseline model for computationally inexpensive speech recognition for Kazakh using the Coqui STT framework. arxiv.org:2107.10637
Jonathan Washington, Ilnar Salimzianov, Francis Tyers, Memduh Gökırmak, Sardana Ivanova, Oğuzhan Kuyrukçu (2019). Free/Open-Source technologies for Turkic languages developed in the Apertium project. International Conference on Computer Processing In Turkic Languages Turklang 2019.
Sevilay Bayatlı, Sefer Kurnaz, Ilnar Salimzianov, Jonathan Washington, Francis Tyers (2018). Rule-based machine translation from Kazakh to Turkish. EAMT 2018.
Jonathan Washington, Ilnar Salimzianov, Francis Tyers (2014). Finite-state morphological transducers for three Kypchak languages. Proceedings of the Language Resources and Evaluation Conference, LREC 2014.
Ilnar Salimzyanov, Jonathan Washington, Francis Tyers (2013). A free/open-source Kazakh-Tatar machine translation system. Proceedings of MT Summit XIV.
Francis Tyers, Jonathan Washington, Ilnar Salimzyanov and Rustam Batalov (2012). A prototype machine translation system for Tatar and Bashkir based on free/open-source components. Proceedings of the Turkic Languages Workshop at the Language Resources and Evaluation Conference, LREC2012.

Independent Coursework

MITx 6.00.1x: Introduction to Computer Science and Programming Using Python = 93% (on edx.org)
MITx 6.00.2x Introduction to Computational Thinking and Data Science = 88% (on edx.org)
UTAustinX UT.5.02x Linear Algebra - Foundations to Frontiers = 62% (on edx.org)
SPD1x: Systematic Program Design - Part 1
Andrew Ng’s “Machine Learning” course

Service