Difference between revisions of "User:Bandrandr/proposal"
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==Benefits== |
==Benefits== |
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The result of this work, if I get selected, would be of great use for linguists investigating Chukchi and an important brick for building a morphologically annotated corpus of Chukchi that could be easily updated with automated glosses.<br /> |
The result of this work, if I get selected, would be of great use for linguists investigating Chukchi and an important brick for building a morphologically annotated corpus of Chukchi that could be easily updated with automated glosses.<br /> |
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It will also, of course, allow for future machine translation |
It will also, of course, allow for future machine translation between Chukchi and Russian. |
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=Timeline= |
=Timeline= |
Latest revision as of 00:30, 15 April 2017
Contents
Project title[edit]
Chukchi morphological analyser using HFST
Contacts[edit]
Vasilisa Andriyanets
blindedbysunshine@gmail.com
github.com/basilisandr
bas_____ on irc
Moscow (GMT+3)
CCh[edit]
Link to github: [1]
Synopsis[edit]
Chukchi is a language with rich and complicated morphology and incorporation.
By now morphological parsers using regular expressions were not able to handle it properly. The platforms themselves were not very user-friendly (no documentation whatsoever).
HFST offers more possibilities than regular expressions for both analysing and constructing forms of Chukchi.
Apertium is, on the one hand, a platform that uses HFST, and on the other hand, a community that is interested in minor languages.
Chukchi is a minority language in Russia that needs a transducer-based morphological parser -- seems like a perfect match.
Deliverables[edit]
Anticipated result:
- well-documented,
- easy to use
morphological analyser for Chukchi that handles
- nouns
- verbs
- incorporation (probably)
that occur in a collection of Chukchi texts.
From the other point of view it will be a simple tool for automated glossing of Chukchi texts in Russian as meta-language.
Benefits[edit]
The result of this work, if I get selected, would be of great use for linguists investigating Chukchi and an important brick for building a morphologically annotated corpus of Chukchi that could be easily updated with automated glosses.
It will also, of course, allow for future machine translation between Chukchi and Russian.
Timeline[edit]
Post-application period[edit]
Investigation time:
- get to know HFST better
- get a full picture on Chukchi morphology
- improve skills in building finite-state transducers
- make some test cases to aid further development
Community bonding period[edit]
- start working with nouns
Work period[edit]
The most salient way to set weekly goals is to set the percent of the corpus (aka the collection of texts) forms coverage, so the timeline goes roughly like this:
- Week 1 40% coverage of the corpus forms
- Week 2 55%
- Week 3 65%
- Week 4 75%
Milestone #1 75% coverage of the corpus
- Week 5 80%
- Week 6 83%
- Week 7 86%
- Week 8 90%
Milestone #2 90% coverage of the corpus
- Week 9 92%
- Week 10 94%
- Week 11 96%
- Week 12 98% coverage
The corpus is not very large, so hopefully I will be able to analyse all or almost all of the forms.
Personal information[edit]
Skills and Qualifications[edit]
4 years of Fundamental and applied linguistics, almost completed Bachelor degree in linguistics at NRU HSE, Moscow, Russia.
Languages: Russian (native), English (advanced), German (intermediate), Yiddish (intermediate), Norwegian (intermediate), French (elementary)
Programming skills: Python, R, bash
Non-GSoC summer plans[edit]
I am going to write my bachelor thesis by mid June, so I will only be able to spend 10-15 hours per week.
I am also going for a conference on 9-15 July, so I will be able to spend 15-20 hours for the project that week.
Apart from that, I am going to work full-time up to 50 hours a week.