Oreen Yousuf
Doktorand i datorlingvistik vid Institutionen för lingvistik och filologi
- E-post:
- oreen.yousuf@lingfil.uu.se
- Besöksadress:
- Engelska parken
Thunbergsvägen 3H - Postadress:
- Box 527
751 20 UPPSALA
Ladda ned kontaktuppgifter för Oreen Yousuf vid Institutionen för lingvistik och filologi
Publikationer
Senaste publikationer
-
A Handwritten Text Recognition Dataset for Ajami Manuscripts in Fulfulde and Hausa
Ingår i DOCUMENT ANALYSIS AND RECOGNITION-ICDAR 2025, PT IV, s. 620-637, 2026
-
A Handwritten Text Recognition Dataset for Ajami Manuscripts in Fulfulde and Hausa
Ingår i Document Analysis and Recognition – ICDAR 2025, s. 620-637, 2025
-
Improving BERTScore for Machine Translation Evaluation Through Contrastive Learning
Ingår i IEEE Access, s. 77739-77749, 2024
- DOI för Improving BERTScore for Machine Translation Evaluation Through Contrastive Learning
- Ladda ner fulltext (pdf) av Improving BERTScore for Machine Translation Evaluation Through Contrastive Learning
-
Ingår i Proceedings of the Seventh Conference on Machine Translation (WMT), s. 1001-1014, 2022
- DOI för Separating Grains from the Chaff: Using Data Filtering to Improve Multilingual Translation for Low-Resourced African Languages
- Ladda ner fulltext (pdf) av 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
Ingår i 2022 Conference on Empirical Methods in Natural Language Processing, EMNLP 2022, s. 4488-4508, 2022
Alla publikationer
Artiklar i tidskrift
-
Improving BERTScore for Machine Translation Evaluation Through Contrastive Learning
Ingår i IEEE Access, s. 77739-77749, 2024
- DOI för Improving BERTScore for Machine Translation Evaluation Through Contrastive Learning
- Ladda ner fulltext (pdf) av Improving BERTScore for Machine Translation Evaluation Through Contrastive Learning
Konferensbidrag
-
A Handwritten Text Recognition Dataset for Ajami Manuscripts in Fulfulde and Hausa
Ingår i DOCUMENT ANALYSIS AND RECOGNITION-ICDAR 2025, PT IV, s. 620-637, 2026
-
A Handwritten Text Recognition Dataset for Ajami Manuscripts in Fulfulde and Hausa
Ingår i Document Analysis and Recognition – ICDAR 2025, s. 620-637, 2025
-
Ingår i Proceedings of the Seventh Conference on Machine Translation (WMT), s. 1001-1014, 2022
- DOI för Separating Grains from the Chaff: Using Data Filtering to Improve Multilingual Translation for Low-Resourced African Languages
- Ladda ner fulltext (pdf) av 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
Ingår i 2022 Conference on Empirical Methods in Natural Language Processing, EMNLP 2022, s. 4488-4508, 2022