Cognition-aware Cognate Detection

Diptesh Kanojia, Prashant Sharma, Sayali Ghodekar, Pushpak Bhattacharyya, Gholamreza Haffari, Malhar Kulkarni


Abstract
Automatic detection of cognates helps downstream NLP tasks of Machine Translation, Cross-lingual Information Retrieval, Computational Phylogenetics and Cross-lingual Named Entity Recognition. Previous approaches for the task of cognate detection use orthographic, phonetic and semantic similarity based features sets. In this paper, we propose a novel method for enriching the feature sets, with cognitive features extracted from human readers’ gaze behaviour. We collect gaze behaviour data for a small sample of cognates and show that extracted cognitive features help the task of cognate detection. However, gaze data collection and annotation is a costly task. We use the collected gaze behaviour data to predict cognitive features for a larger sample and show that predicted cognitive features, also, significantly improve the task performance. We report improvements of 10% with the collected gaze features, and 12% using the predicted gaze features, over the previously proposed approaches. Furthermore, we release the collected gaze behaviour data along with our code and cross-lingual models.
Anthology ID:
2021.eacl-main.288
Volume:
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume
Month:
April
Year:
2021
Address:
Online
Venue:
EACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
3281–3292
Language:
URL:
https://aclanthology.org/2021.eacl-main.288
DOI:
10.18653/v1/2021.eacl-main.288
Award:
 Honorable Mention for Best Long Paper
Bibkey:
Cite (ACL):
Diptesh Kanojia, Prashant Sharma, Sayali Ghodekar, Pushpak Bhattacharyya, Gholamreza Haffari, and Malhar Kulkarni. 2021. Cognition-aware Cognate Detection. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 3281–3292, Online. Association for Computational Linguistics.
Cite (Informal):
Cognition-aware Cognate Detection (Kanojia et al., EACL 2021)
Copy Citation:
PDF:
https://aclanthology.org/2021.eacl-main.288.pdf
Code
 prashantksharma/CaCD