Oreen Yousuf
PhD student in Computational Linguistics at Department of Linguistics and Philology
- E-mail:
- oreen.yousuf@lingfil.uu.se
- Visiting address:
- Engelska parken
Thunbergsvägen 3H - Postal address:
- Box 635
751 26 UPPSALA
Download contact information for Oreen Yousuf at Department of Linguistics and Philology
Publications
Recent publications
-
A Handwritten Text Recognition Dataset for Ajami Manuscripts in Fulfulde and Hausa
Part of DOCUMENT ANALYSIS AND RECOGNITION-ICDAR 2025, PT IV, p. 620-637, 2026
-
A Handwritten Text Recognition Dataset for Ajami Manuscripts in Fulfulde and Hausa
Part of Document Analysis and Recognition – ICDAR 2025, p. 620-637, 2025
-
Improving BERTScore for Machine Translation Evaluation Through Contrastive Learning
Part of IEEE Access, p. 77739-77749, 2024
- DOI for Improving BERTScore for Machine Translation Evaluation Through Contrastive Learning
- Download full text (pdf) of Improving BERTScore for Machine Translation Evaluation Through Contrastive Learning
-
Part of Proceedings of the Seventh Conference on Machine Translation (WMT), p. 1001-1014, 2022
- DOI for Separating Grains from the Chaff: Using Data Filtering to Improve Multilingual Translation for Low-Resourced African Languages
- Download full text (pdf) of Separating Grains from the Chaff: Using Data Filtering to Improve Multilingual Translation for Low-Resourced African Languages
-
MasakhaNER 2.0: Africa-centric Transfer Learning for Named Entity Recognition
Part of 2022 Conference on Empirical Methods in Natural Language Processing, EMNLP 2022, p. 4488-4508, 2022
All publications
Articles in journal
-
Improving BERTScore for Machine Translation Evaluation Through Contrastive Learning
Part of IEEE Access, p. 77739-77749, 2024
- DOI for Improving BERTScore for Machine Translation Evaluation Through Contrastive Learning
- Download full text (pdf) of Improving BERTScore for Machine Translation Evaluation Through Contrastive Learning
Conference papers
-
A Handwritten Text Recognition Dataset for Ajami Manuscripts in Fulfulde and Hausa
Part of DOCUMENT ANALYSIS AND RECOGNITION-ICDAR 2025, PT IV, p. 620-637, 2026
-
A Handwritten Text Recognition Dataset for Ajami Manuscripts in Fulfulde and Hausa
Part of Document Analysis and Recognition – ICDAR 2025, p. 620-637, 2025
-
Part of Proceedings of the Seventh Conference on Machine Translation (WMT), p. 1001-1014, 2022
- DOI for Separating Grains from the Chaff: Using Data Filtering to Improve Multilingual Translation for Low-Resourced African Languages
- Download full text (pdf) of Separating Grains from the Chaff: Using Data Filtering to Improve Multilingual Translation for Low-Resourced African Languages
-
MasakhaNER 2.0: Africa-centric Transfer Learning for Named Entity Recognition
Part of 2022 Conference on Empirical Methods in Natural Language Processing, EMNLP 2022, p. 4488-4508, 2022