Explaining A Deep Learning Based Model for Spelling Correction of "de/da" Clitics in Turkish through Understanding Their Dependence to Various Regions of A Sentence

Explaining A Deep Learning Based Model for Spelling Correction of "de/da" Clitics in Turkish through Understanding Their Dependence to Various Regions of A Sentence

A model agnostic perturbation-based explanation approach is proposed for the spellchecker of Turkish “de/da” spelling errors. Findings of this approach are validated with a GWAP application.

Poster: https://drive.google.com/file/d/153rHCPoiE9ekSgToMeVPrIxXfq4lDTPp/view?usp=sharing

Video: https://drive.google.com/file/d/1O0dBZo5igdgThW6UfE5y3tAO96htmxli/view?usp=sharing

Project Poster: 

Project Members: 

Alperen Değirmenci
Hasan Öztürk

Project Advisor: 

Suzan Üsküdarlı

Project Status: 

Project Year: 

2020
  • Spring

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Department of Computer Engineering, Boğaziçi University,
34342 Bebek, Istanbul, Turkey

  • Phone: +90 212 359 45 23/24
  • Fax: +90 212 2872461
 

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