Alberto Poncelas | DeepAI

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∙ 11/28/2020

Using Multiple Subwords to Improve English-Esperanto Automated Literary Translation Quality

Building Machine Translation (MT) systems for low-resource languages rem...

0 Alberto Poncelas, et al. ∙

∙ 08/25/2020

The Impact of Indirect Machine Translation on Sentiment Classification

Sentiment classification has been crucial for many natural language proc...

0 Alberto Poncelas, et al. ∙

∙ 05/01/2020

Selecting Backtranslated Data from Multiple Sources for Improved Neural Machine Translation

Machine translation (MT) has benefited from using synthetic training dat...

0 Xabier Soto, et al. ∙

∙ 05/01/2020

Facilitating Access to Multilingual COVID-19 Information via Neural Machine Translation

Every day, more people are becoming infected and dying from exposure to ...

0 Andy Way, et al. ∙

∙ 04/23/2020

Multiple Segmentations of Thai Sentences for Neural Machine Translation

Thai is a low-resource language, so it is often the case that data is no...

0 Alberto Poncelas, et al. ∙

∙ 04/23/2020

A Tool for Facilitating OCR Postediting in Historical Documents

Optical character recognition (OCR) for historical documents is a comple...

0 Alberto Poncelas, et al. ∙

∙ 09/26/2019

Selecting Artificially-Generated Sentences for Fine-Tuning Neural Machine Translation

Neural Machine Translation (NMT) models tend to achieve best performance...

0 Alberto Poncelas, et al. ∙

∙ 09/09/2019

Combining SMT and NMT Back-Translated Data for Efficient NMT

Neural Machine Translation (NMT) models achieve their best performance w...

0 Alberto Poncelas, et al. ∙

∙ 08/26/2019

Transductive Data-Selection Algorithms for Fine-Tuning Neural Machine Translation

Machine Translation models are trained to translate a variety of documen...

0 Alberto Poncelas, et al. ∙

∙ 06/18/2019

Adaptation of Machine Translation Models with Back-translated Data using Transductive Data Selection Methods

Data selection has proven its merit for improving Neural Machine Transla...

0 Alberto Poncelas, et al. ∙

∙ 02/23/2019

ABI Neural Ensemble Model for Gender Prediction Adapt Bar-Ilan Submission for the CLIN29 Shared Task on Gender Prediction

We present our system for the CLIN29 shared task on cross-genre gender d...

0 Eva Vanmassenhove, et al. ∙

∙ 11/14/2018

The ADAPT System Description for the IWSLT 2018 Basque to English Translation Task

In this paper we present the ADAPT system built for the Basque to Englis...

0 Alberto Poncelas, et al. ∙

∙ 11/07/2018

Data Selection with Feature Decay Algorithms Using an Approximated Target Side

Data selection techniques applied to neural machine translation (NMT) ai...

0 Alberto Poncelas, et al. ∙

∙ 06/05/2018

Understanding Meanings in Multilingual Customer Feedback

Understanding and being able to react to customer feedback is the most f...

0 Chao-Hong Liu, et al. ∙

∙ 04/17/2018

Investigating Backtranslation in Neural Machine Translation

A prerequisite for training corpus-based machine translation (MT) system...

0 Alberto Poncelas, et al. ∙

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