Difference between revisions of "Turkic MT Improvements GSoC2019 report"

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Line 30: Line 30:
| Kir-Tur
| Kir-Tur
| 11435418 words, 82.5% cov
| 11435418 words, 82.5% cov
| 184808 words, 93.4% cov
| 184808 words, 92.0% cov
| Tat-Tur
| Tat-Tur

Revision as of 09:38, 23 August 2019

This aim of this project was improving the following language pairs of Apertium: tur->uig, uzb->tur, kir->tur, tat->tur.


My commits can be found [here]. You can also download my work as a [ zip file].


Transfer rules were written for tur->uig and uzb->tur, using Regression Tests. They can be found here: Uighur and Uzbek.

Corpora and Coverage

L Wiki Bible
Tur-Uig 53505239 words, 82.3% cov 178233 words, 93.0% cov
Uzb-Tur 12730161 words, 80.8% cov 184447 words, 81.1% cov
Kir-Tur 11435418 words, 82.5% cov 184808 words, 92.0% cov
Tat-Tur -- 178220 words, 91.4% cov


To correctly discern the lemma and the morphology so as to be translated correctly into the target language, Apertium uses Constraint Grammar (CG). Currently Uyghur has about 45 CG rules for disambiguation.

Lexical Selection

To determine in which context which translation of a given lemma would be selected, lexical selection is employed. Currently uig-tur has 35 lexsel rules.