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Found 12 papers, 5 papers with code
nEYron: Implementation and Deployment of an MT System for a Large Audit & Consulting Corporation
This paper reports on the implementation and deployment of an MT system in the Polish branch of EY Global Limited.
Adam Mickiewicz University’s English-Hausa Submissions to the WMT 2021 News Translation Task
This paper presents the Adam Mickiewicz University’s (AMU) submissions to the WMT 2021 News Translation Task.
STable: Table Generation Framework for Encoder-Decoder Models
The output structure of database-like tables, consisting of values structured in horizontal rows and vertical columns identifiable by name, can cover a wide range of NLP tasks.
Joint Entity and Relation Extraction
Knowledge Base Population
Going Full-TILT Boogie on Document Understanding with Text-Image-Layout Transformer
We address the challenging problem of Natural Language Comprehension beyond plain-text documents by introducing the TILT neural network architecture which simultaneously learns layout information, visual features, and textual semantics.
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From Dataset Recycling to Multi-Property Extraction and Beyond
This paper investigates various Transformer architectures on the WikiReading Information Extraction and Machine Reading Comprehension dataset.
On the Multi-Property Extraction and Beyond
In this paper, we investigate the Dual-source Transformer architecture on the WikiReading information extraction and machine reading comprehension dataset.
Fast Neural Machine Translation Implementation
This paper describes the submissions to the efficiency track for GPUs at the Workshop for Neural Machine Translation and Generation by members of the University of Edinburgh, Adam Mickiewicz University, Tilde and University of Alicante.
Marian: Fast Neural Machine Translation in C++
We present Marian, an efficient and self-contained Neural Machine Translation framework with an integrated automatic differentiation engine based on dynamic computation graphs.
The SUMMA Platform Prototype
We present the first prototype of the SUMMA Platform: an integrated platform for multilingual media monitoring.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+5
Predicting Target Language CCG Supertags Improves Neural Machine Translation
Our results on WMT data show that explicitly modeling target-syntax improves machine translation quality for German->English, a high-resource pair, and for Romanian->English, a low-resource pair and also several syntactic phenomena including prepositional phrase attachment.
Is Neural Machine Translation Ready for Deployment? A Case Study on 30 Translation Directions
In this paper we provide the largest published comparison of translation quality for phrase-based SMT and neural machine translation across 30 translation directions.
The AMU-UEDIN Submission to the WMT16 News Translation Task: Attention-based NMT Models as Feature Functions in Phrase-based SMT
For the Russian-English task, our submission achieves the top BLEU result, outperforming the best pure neural system by 1. 1 BLEU points and our own phrase-based baseline by 1. 6 BLEU.
