User:Denis Rakhman/proposal

Contact information

Name: Denis Rakhman
E-mail: drahman2@mail.ru
IRC: Denis_Rakhman
Phone number: 8-968-815-43-81
Location: Moscow

Why am I interested in machine translation?

It is obvious that the machine translation is one of the main areas of the computational linguistics. The usability of a good machine translator can hardly be overrated.
But that's not what excite me in the machine translation.
When I knew nothing about both theoretical and computational linguistics, I never thought about natural languages as about some set of rules. In fact, I did, but in my mind they were invented by a group of very smart people in heavy glasses. It was a shock to me to realize that the linguistic rules are no less strict than the physical ones. I thought: "Wow! Maybe the language can be modelled as an alhorythm?". And than I have been told about NLP and, in particular, about machine translation.
Machine translation is one of a few areas in NLP that deals not only with the particular language structure, but also with language typology. That means an increased (in comparison with other NLP problems) part of linguistic theory in it, which also attracts me.

Why am I interested in Apertium?

The main thing that attracts me in Apertium is its interest in minority language. This area is both very interesting for me and very important for the society. Minority languages are often the endangered ones, and the fact that some language is not only being described by linguists, but also used in machine translation, can encourage its speakers and help to give it a new life. As far as I know, Apertium's work with minority languages is one of its main interests.
Apertium also has an extremely friendly community, and this fact attracts me even more.

Skills, knowledge and experience

At this moment I am the 3rd year bachelor student of the Linguistic Department of the NRU HSE, Moscow.
Knowledge:
Programming:

python 3
Linguistics:

both functional and formal approaches to the syntax

morphology

phonetics

lexical semantics

language typology
Languages:

Russian (native)

English (advanced)

Italian (intermediate)

French (intermediate)
Maths and data science:

basic knowledge of statistics, data science and machine learning theory

Skills:
Programming:

• python 3, pymorphy2 (a morphological analyser for Russian)
• HTML, CSS

Linguistics:

grammar description during the field work, glossing, older grammar descriptions and theories analysis

Experience:
Coding:

distant verb arguments extraction in case of coordinate clauses
Linguistics:

purpose clauses in Hill Mari (field research)