User:Oğuz/GSoC 2019

GSoC 2019 proposal draft to create and develop Uyghur-Turkish translation pair.

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.

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

---

uyghur ----

E.N Necip, Uyghurche-Turkche Lughet

Rıdvan Öztürk, Yeni Uygur Türkçesi Grameri

Wikipedia

Uyghur-English-Mandarin dictionary[1] --- uyghur ----

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. 80% coverage

2. Basic CG

3. 84% coverage

4. Transfer

5. 86% coverage

6. Transfer, lexical selection, 65% coverage

7. CG, 80% coverage

8. Transfer, lexsel, 84% coverage

9. Transfer

10. CG, Transfer

11. Transfer, lexsel, 86% coverage

12. Transfer, 88% coverage

13. Preparing text for annotation

14-16. Annotating the Uyghur corpus, %90 coverage

Coding Challenge

I will tag 20 sentences for each language pair and write 5 ambiguity rules.

Deliverables

??

WER comparable to other inter-Turkic/Romance pairs. 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.