no code implementations • LREC 2022 • Shreyas Sharma, Kareem Darwish, Lucas Pavanelli, Thiago castro Ferreira, Mohamed Al-Badrashiny, Kamer Ali Yuksel, Hassan Sawaf
The performance of Machine Translation (MT) systems varies significantly with inputs of diverging features such as topics, genres, and surface properties.
1 code implementation • AMTA 2022 • Kamer Ali Yuksel, Ahmet Gunduz, Shreyas Sharma, Hassan Sawaf
In this paper, the effect of prioritizing with the proposed method on the resulting MT corpus quality is presented versus scheduling hypotheses randomly.
no code implementations • 20 Jun 2023 • Kamer Ali Yuksel, Ahmet Gunduz, Mohamed Al-Badrashiny, Shreyas Sharma, Hassan Sawaf
The online learning capability of this system allows for dynamic adaptation to alterations in the domain or machine translation engines, thereby obviating the necessity for additional training.
1 code implementation • 13 Aug 2019 • Shreyas Sharma, Ron Daniel Jr
We also investigate the effects of a small amount of additional pretraining on PubMed content, and of combining FLAIR and ELMO models.
Ranked #3 on Named Entity Recognition (NER) on Species-800 (using extra training data)
Medical Named Entity Recognition named-entity-recognition +2