15 citations · 47 across the 10 of their papers we have counts for
6 papers · 1 filter
A Case Study on Context Encoding in Multi-Encoder based Document-Level Neural Machine Translation
Ramakrishna Appicharla, Baban Gain, Santanu Pal +1
Recent studies have shown that the multi-encoder models are agnostic to the choice of context, and the context encoder generates noise which helps improve the models in terms of BL…
The Transference Architecture for Automatic Post-Editing
Santanu Pal, Hongfei Xu, Nico Herbig +3
In automatic post-editing (APE) it makes sense to condition post-editing (pe) decisions on both the source (src) and the machine translated text (mt) as input. This has led to mult…
Improving CAT Tools in the Translation Workflow: New Approaches and Evaluation
Mihaela Vela, Santanu Pal, Marcos Zampieri +2
This paper describes strategies to improve an existing web-based computer-aided translation (CAT) tool entitled CATaLog Online. CATaLog Online provides a post-editing environment w…
UDS--DFKI Submission to the WMT2019 Similar Language Translation Shared Task
Santanu Pal, Marcos Zampieri, Josef van Genabith
In this paper we present the UDS-DFKI system submitted to the Similar Language Translation shared task at WMT 2019. The first edition of this shared task featured data from three p…
Discriminating between Indo-Aryan Languages Using SVM Ensembles
Alina Maria Ciobanu, Marcos Zampieri, Shervin Malmasi +2
In this paper we present a system based on SVM ensembles trained on characters and words to discriminate between five similar languages of the Indo-Aryan family: Hindi, Braj Bhasha…
A Neural Approach to Language Variety Translation
Marta R. Costa-jussà, Marcos Zampieri, Santanu Pal
In this paper we present the first neural-based machine translation system trained to translate between standard national varieties of the same language. We take the pair Brazilian…