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EDUCATION

2019: 

Ph.D. at Department of P.G. Studies and Research in Computer Science, Mangalore University, Mangalore, India  under the supervision of prof. H.L Shashirekha 

Thesis: Machine Translation of Under-Resourced Languages: A Case Study of Translation from Kannada to Sanskrit and Tulu

2018 - 2019: Worked as a teaching faculty at Department of P.G. Studies and Research in Computer Science, Mangalore University

2009 – 2011:

M.Sc. Computer Science at Department of P.G. Studies and Research in Computer Science, Mangalore University, Mangalore, India 

2006 – 2009:                     

B.Sc. Computer Science at MM Arts and science College, Sirsi, India

RESEARCH INTERESTS

• Natural language Processing

• Text Processing

• Machine Translation

• Sequence Labelling 

• Sentiment Analysis

• Offensive Language Identification

• Low Resource Languages and Code-Mixed Texts

• Hope Speech Detection

CONFERENCE PARTICIPATED: 

• ICON 2020: 17th International Conference on Natural Language Processing, India.

• Forum for Information Retrieval Evaluation (FIRE) 2020, India

• 16th conference of the European Chapter of the Association for Computational Linguistics (EACL) 2021, Ukraine

• EMNLP 2022  Seventh Conference On Machine Translation  (WMT22), Abu Dhabi

• The Second Workshop on Speech and Language Technologies for Dravidian Languages -(DravidianLangTech-2022) @ ACL2022

• Special Interest Group: Under-resourced Languages (SIGUL) @ ELRA 2022

• Third Congress on Intelligent Systems: Proceedings of CIS 2022 

ACHIEVEMENTS:

• 10th rank in for Marathi language in  the shared task (Task 1 A) HASOC in English and Indo-Aryan Languages 2021 shared task in Forum for Information Retrieval Evaluation (FIRE) 2021 

• 12th rank in  UrduFake 2021 - a shared task at FIRE (Forum for Information Retrieval Evaluation) 2021 

• 18th rank in Detecting Signs of Depression from Social Media Text-LT-EDI@ACL 2022 (DepSignLT-EDI@ACL-2022) shared task at Association for Computational Linguistics (ACL) 2022 

• 5th and 3rd ranks for subtask 1 and subtask 2 respectively in Code-mixed Machine Translation (MixMT) shared task in the Workshop on Machine Translation (WMT) organized in connection with Empirical models in Natural Language Processing (EMNLP) 2022 

• 4th rank in Detecting Signs of Depression from Social Media Text-LT-EDI@ACL 2022 (DepSignLT-EDI@ACL-2022) shared task at Association for Computational Linguistics (ACL) 2022 

• 2nd rank for Tamil-Telugu language pair in “Machine Translation in Dravidian languages”, a shared task organized by EACL2021

• 2nd rank for Tamil-Telugu language pair in “Machine Translation in Dravidian languages”, a shared task organized by EACL2021

SHAREDTASKS ORGANIZED:

• Machine Translation in Dravidian languages-ACL2022

• CoLI-Kanglish: Word Level Language Identification in Code-mixed Kannada-English Texts

• Sentiment Analysis in Tamil and Tulu- DravidianLangTech@RANLP 2023

LANGUAGES:            

1. Kannada (Native)

2. English (80%)

3. Hindi (80%)

4. Sanskrit (80%)

5. Tulu (75%)

6. Telugu (45%)

7. Malayalam  (45%)

8. Tamil  (35%)

RESEARCH EXPERIENCE:

Accepted

1. KanSan: Kannada-Sanskrit Parallel Corpus Construction for Machine Translation (Accepted in Springer Book Series)

2. Sentiment Analysis and Homophobia detection of YouTube comments in Code-Mixed Dravidian Languages (Working notes in FIRE 2022)

3. Learning Models for Emotion Analysis and Threatening Language Detection in Urdu Tweets 

Published

• 2023

1. Hegde, A., Shashirekha, H.L., Madasamy, A.K. and Chakravarthi, B.R., 2023, March. A Study of Machine Translation Models for Kannada-Tulu. In Third Congress on Intelligent Systems: Proceedings of CIS 2022, Volume 1 (pp. 145-161). Singapore: Springer Nature Singapore. link

• 2022

1. Balouchzahi, F., Butt, S., Hegde, A., Ashraf, N., Shashirekha, H.L., Sidorov, G. and Gelbukh, A., 2022, December. Overview of CoLI-Kanglish: Word Level Language Identification in Code-mixed Kannada-English Texts at ICON 2022. In Proceedings of the 19th International Conference on Natural Language Processing (ICON): Shared Task on Word Level Language Identification in Code-mixed Kannada-English Texts (pp. 38-45). link

2. Hegde, A., Banerjee, S., Chakravarthi, B. R., Priyadharshini, R., Shashirekha, H., & McCrae, J. P. (2022, May). Overview of the Shared Task on Machine Translation in Dravidian Languages. In Proceedings of the Second Workshop on Speech and Language Technologies for Dravidian Languages (pp. 271-278). link

3. Hegde, A. and Lakshmaiah, S., 2022, December. Mucs@ mixmt: Indictrans-based Machine Translation for Hinglish Text. In Proceedings of the Seventh Conference on Machine Translation (WMT) (pp. 1131-1135). link

4. Hegde, A., Anusha, M.D., Coelho, S., Shashirekha, H.L. and Chakravarthi, B.R., 2022, June. Corpus Creation for Sentiment Analysis in Code-Mixed Tulu Text. In Proceedings of the 1st Annual Meeting of the ELRA/ISCA Special Interest Group on Under-Resourced Languages (pp. 33-40). link

5. Hegde, A., Coelho, S., Dashti, A.E. and Shashirekha, H., 2022, May. MUCS@ Text-LT-EDI@ ACL 2022: Detecting Sign of Depression from Social Media Text using Supervised Learning Approach. In Proceedings of the Second Workshop on Language Technology for Equality, Diversity and Inclusion (pp. 312-316). link

• 2021

1. Hegde, A., Coelho, S., Dashti, A.E. and Shashirekha, H., 2022, May. MUCS@ Text-LT-EDI@ ACL 2022: Detecting Sign of Depression from Social Media Text using Supervised Learning Approach. In Proceedings of the Second Workshop on Language Technology for Equality, Diversity and Inclusion (pp. 312-316). link

2. Hegde, A., Anusha, M.D., Coelho, S. and Shashirekha, H.L., 2021, December. Mum at comma@ icon: Multilingual Gender Biased and Communal Language Identification using Supervised Learning Approaches. In Proceedings of the 18th International Conference on Natural Language Processing: Shared Task on Multilingual Gender Biased and Communal Language Identification (pp. 64-69). link

3. Hegde, A. and Shashirekha, H.L., 2021. Urdu Fake News Detection Using Ensemble of Machine Learning Models. link

• 2020

1. Hegde, A. and Shashirekha, H.L., 2020, December. MUCS@ Adap-MT 2020: Low Resource Domain Adaptation for Indic Machine Translation. In Proceedings of the 17th International Conference on Natural Language Processing (ICON): Adap-MT 2020 Shared Task (pp. 24-28). link