Mika Koistinen


Silo NLP’s Participation at WAT2022
Shantipriya Parida | Subhadarshi Panda | Stig-Arne Grönroos | Mark Granroth-Wilding | Mika Koistinen
Proceedings of the 9th Workshop on Asian Translation

This paper provides the system description of “Silo NLP’s” submission to the Workshop on Asian Translation (WAT2022). We have participated in the Indic Multimodal tasks (English->Hindi, English->Malayalam, and English->Bengali, Multimodal Translation). For text-only translation, we used the Transformer and fine-tuned the mBART. For multimodal translation, we used the same architecture and extracted object tags from the images to use as visual features concatenated with the text sequence for input. Our submission tops many tasks including English->Hindi multimodal translation (evaluation test), English->Malayalam text-only and multimodal translation (evaluation test), English->Bengali multimodal translation (challenge test), and English->Bengali text-only translation (evaluation test).


Improving Optical Character Recognition of Finnish Historical Newspapers with a Combination of Fraktur & Antiqua Models and Image Preprocessing
Mika Koistinen | Kimmo Kettunen | Tuula Pääkkönen
Proceedings of the 21st Nordic Conference on Computational Linguistics