Difference between revisions of "Turkic MT Improvements GSoC2019 report"

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Line 42: Line 42:
| Tat-Tur
| Tat-Tur
| 5792382 words, 86.4% cov
| 5792382 words, 86.4% cov
| 178220 words, 91.4% cov
| 178220 words, 91.4% cov

Revision as of 14:18, 25 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 below, on each depository:

Tur-Uzb Tur Uzb Uig-Tur Uig Tur-Tat Tat Tur-Kir Kir


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, 83.5% cov
Kir-Tur 11435418 words, 82.5% cov 184808 words, 92.0% cov
Tat-Tur 5792382 words, 86.4% cov 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).

Lexical Selection

To determine in which context which translation of a given lemma would be selected, lexical selection is employed.

Future Plans

Uzbek lexicon still needs to be improved. Analysis of Uzbek can be problematic because of the unusual alphabet of the language along with non-standard forms, which also needs further improvement. More lexical selection, disambiguation and transfer rules are needed to achieve a greater translation quality on all pairs.