Difference between revisions of "User:Uliana/gsoc-propuesta"
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I am interested in working on an unreleased language pair for Sicilian-Spanish translation. |
I am interested in working on an unreleased language pair for Sicilian-Spanish translation. |
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| − | 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 |
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| − | 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. |
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== My coding challenge == |
== My coding challenge == |
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Revision as of 21:28, 19 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)
Relevant Experience
Building Open Source Information Extraction System for Russian Language Project
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
Machine Translation is far from being a solved problem. In spite of appearance of many statistical approaches to machine translation, it doesn't cover a lot of aspects of language structure so far. First of all, it doesn't cover languages with small language community due to insufficiency of collected data. Beside that, it doesn't really take into account all the differences in structure of both language.
My interest in Apertium projects
I am interested in working on an unreleased language pair for Sicilian-Spanish translation.
My coding challenge
Proposal and work plan
Pre-work period
Review and improve on the technical skills required for the project. Study the architecture of Apertium in the detail. Extend my knowledge of Standard Sicilian language.
First month
Main goal
