Difference between revisions of "User:Denis Rakhman/proposal"

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Location: Moscow
 
Location: Moscow
   
== Why am I interested in machine translation ==
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== 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. <br />
 
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. <br />
 
But that's not what excite me in the machine translation.<br />
 
But that's not what excite me in the machine translation.<br />

Revision as of 12:03, 3 April 2017

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 and very boring 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.

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)