Difference between revisions of "User:Oğuz/GSoC 2019"
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I will tag 20 sentences for each language pair and write 5 ambiguity rules. |
I will tag 20 sentences for each language pair and write 5 ambiguity rules. |
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{{comment|where are you putting it? —[[User:Firespeaker|Firespeaker]] ([[User talk:Firespeaker|talk]]) 05:00, 5 April 2019 (CEST)}} |
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== Deliverables == |
== Deliverables == |
Revision as of 03:00, 5 April 2019
GSoC 2019 proposal draft to improve four Turkic translation pairs.
Contents
Personal Information
Name: Oğuzhan Kuyrukçu
E-mail: kuyrukcuoguz@gmail.com
Phone number: +905414785653
ITC: oguz
Time zone: UTC+3
Why is it that you are interested in Apertium?
I'm a student of linguistics and I recently took up an interest in computational linguistics. I worked with Apertium last year on a Machine Translation project and had a great experience. I'd like to do that again.
Proposal: Bringing 4 language pairs up to release quality
Which of the published tasks are you interested in? What do you plan to do?
My plan is to adopt 4 unreleased language pairs, uig-tur, kyr-tur, tat-tur and uzb-tur. I'll be working to bring them up to release quality, which will involve writing and refining rules for transfer and lexical selection that will result in a valid text in the target language.
It's kir, not kyr. Also, a big part of what's involved is testvoc, not just writing and refining rules. Probably expanding dictionaries is fairly important as well. —Firespeaker (talk) 04:55, 5 April 2019 (CEST)
Why should google and apertium sponsor it?
Apertium hosts numerous MTs of Turkic languages but some of them haven't been worked to completion. By refining these pairs we'd be bringing in these MTs to Apertium repertoire and cover an important ground in Turkic computational linguistics.
Resources
A. B. Ercilasun, Türk Lehçeleri Grameri
A. F. Sjoberg, Uzbek Structural Grammar
J. Hebert and N. Poppe, Kirghiz Manual
N. Poppe, Tatar Manual
Rıdvan Öztürk, Yeni Uygur Türkçesi Grameri
E. N. Necip, Uyghurche-Turkche Lughet
R. Ehmetyanov et al, Türkçe-Tatarca Sözlük
Uyghur-English-Mandarin dictionary[1]
Pamukkale University's Turkish-Kyrgyz[2], Turkish-Tatar[3] and Turkish-Uzbek[4] dictionaries
Indiana University's Uzbek-English dictionary[5]
cevirce.com[6] for Turkish-Kyrgyz, Turkish-Uzbek and Turkish-Tatar translations
How do you plan to use these? Looking up words manually? Scraping them? We have pages of resources for some of these languages with sources already listed—so why list them here? —Firespeaker (talk) 04:56, 5 April 2019 (CEST)
Work Plan
-Post-application period:
Studying the grammars of languages where necessary (Tatar and Kyrgyz). Tagging examplary sentences and writing rules.
-Community-bonding period:
Working on coverage. As of now all pairs have around 80% coverage. Starting annotation and rule writing.
-Month 1:
Writing scripts
Adding words to bidix, get coverage up from 80%
Chunking
Transfer rules
Begin CG rules
-Month 2:
POS tagging/constraint grammar
Transfer rules
Get CG rules up to 100, ~50% disambiguation
>90% coverage
-Month 3:
Creation of an Annotated Corpus
Plan by Weeks
1. All pairs up to 80% coverage
2. Basic CG, 82% coverage
3. 83% coverage
4. Transfer, 84% coverage
5. 85% coverage
6. Transfer, lexical selection
7. CG, 86% coverage
8. Transfer, lexsel, 87% coverage
9. 88% coverage
10. CG, Transfer
11. Transfer, lexsel, 89% coverage
12. Transfer, lexsel
13. Preparing texts for annotation
14-16. Annotating the corpora, %90 coverage on each pair
Coding Challenge
I will tag 20 sentences for each language pair and write 5 ambiguity rules.
where are you putting it? —Firespeaker (talk) 05:00, 5 April 2019 (CEST)
Deliverables
WER comparable to other inter-Turkic/Romance pairs. Implementation of ambiguous rules. Data for machine-learned disambiguation.
Summer Obligations and Commitments
I have no scheduled commitments.
Qualification
I'm a 3rd year student of linguistics at Boğaziçi University. I've taken several compuational linguistics classes as part of my studies. I've already worked with Apertium last year on an MT project between Uyghur and Turkish, which I believe helped me improve my understanding of computational linguistics.