Difference between revisions of "User:Uliana/gsoc-propuesta"
Line 57: | Line 57: | ||
== Proposal and work plan == |
== Proposal and work plan == |
||
− | |||
− | |||
− | <center> |
||
− | {|class="wikitable" |
||
− | ! Period !! Week !! Description !! Comment |
||
− | |- |
||
− | | rowspan="10" | Pre-work Period || aaaa—aaaa ||rowspan="5"| --- || '''---''' |
||
− | |- |
||
− | || 09:30—10:30 || '''General introduction''': [https://svn.code.sf.net/p/apertium/svn/branches/courses/helsinki_2013/slides/session0.pdf Machine translation] |
||
− | |- |
||
− | || 10:30—11:00 ||align="center"| '''Coffee break''' |
||
− | ! style="background:darkgray" colspan="4" | |
||
− | |- |
||
− | |} |
||
− | |||
− | |||
− | |||
− | </center> |
Revision as of 18:23, 17 March 2016
Contents
Contacts
Uliana Sentsova
E-mail: uliana.sentsova@gmail.com
Number: +7 (916) 774-95-30
Skype: ulyanasidorova
IRC channel: uliana at #apertium
Education and achievements
Lomonosov Moscow State University
Qualification: Bachelor in Linguistics (romance-german languages)
GPA: 10.0 / 10.0
National Research University „Higher School of Economics“
Qualification: Major in Natural Language Processing
Current GPA: 8.5 / 10.0
2015: Awardee of graduates’ competition „Natural Language Processing” (a competition for students hold by National Research University Higher School of Economics)
2014: Scholarship of Academic Council of MSU for scientific activities (a special award for top 10% students with academic excellence and scientific activity)
2013: Enhanced State Academic Scholarship for scientific activities (is awarded on the basis of academic excellence and scientific achievements)
Projects
„Building Open Source Information Extraction System for Russian Language”
Organisation: National Research University „Higher School of Economics”
Project roles: project manager, software developer (Python)
Description: Creating a hybrid information extraction system using rule-based approach and machine learning technologies. This system is able to extract named entities (persons, locations and organizations) and will become a part of stack technology for NLP developed by National Research University „Higher School of Economics”. At this moment in time the system has 93% precision (evaluated by Dialogue Evaluation Conference on 37 000 annotated texts).
My interest in Machine Translation
My interest in Apertium projects
I am interested in working on an unreleased language pair for Sicilian-Spanish translation.
As my coding challenge I created a new language package scn-spa, added basic vocabulary to the dictionary of Sicilian and translations into Sicilian-Spanisch dictionary. I am also currently working on
I also started to conduct research in the structure of Sicilian language: I have got into touch with contributors of Wikipedia in Sicilian language and thanks to spectei I also have reached computational linguist who studies in Munich and is native speaker of Sicilian.