Tomasz Dwojak

Orcid: 0000-0002-2738-9795

According to our database1, Tomasz Dwojak authored at least 14 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
STable: Table Generation Framework for Encoder-Decoder Models.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

2022
STable: Table Generation Framework for Encoder-Decoder Models.
CoRR, 2022

nEYron: Implementation and Deployment of an MT System for a Large Audit & Consulting Corporation.
Proceedings of the 23rd Annual Conference of the European Association for Machine Translation, 2022

2021
Adam Mickiewicz University's English-Hausa Submissions to the WMT 2021 News Translation Task.
Proceedings of the Sixth Conference on Machine Translation, 2021

Going Full-TILT Boogie on Document Understanding with Text-Image-Layout Transformer.
Proceedings of the 16th International Conference on Document Analysis and Recognition, 2021

2020
On the Multi-Property Extraction and Beyond.
CoRR, 2020

From Dataset Recycling to Multi-Property Extraction and Beyond.
Proceedings of the 24th Conference on Computational Natural Language Learning, 2020

2018
Fast Neural Machine Translation Implementation.
Proceedings of the 2nd Workshop on Neural Machine Translation and Generation, 2018

Marian: Fast Neural Machine Translation in C++.
Proceedings of ACL 2018, Melbourne, Australia, July 15-20, 2018, System Demonstrations, 2018

2017
Syntax-aware Neural Machine Translation Using CCG.
CoRR, 2017

Predicting Target Language CCG Supertags Improves Neural Machine Translation.
Proceedings of the Second Conference on Machine Translation, 2017


2016
The AMU-UEDIN Submission to the WMT16 News Translation Task: Attention-based NMT Models as Feature Functions in Phrase-based SMT.
Proceedings of the First Conference on Machine Translation, 2016

Is Neural Machine Translation Ready for Deployment? A Case Study on 30 Translation Directions.
Proceedings of the 13th International Conference on Spoken Language Translation, 2016


  Loading...