Alberto Poncelas

Orcid: 0000-0002-5089-1687

According to our database1, Alberto Poncelas authored at least 34 papers between 2016 and 2024.

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

Timeline

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PhD thesis 
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Bibliography

2024
Rakuten's Participation in WMT 2024 Patent Translation Task.
Proceedings of the Ninth Conference on Machine Translation, 2024

2023
Sakura at SemEval-2023 Task 2: Data Augmentation via Translation.
Proceedings of the The 17th International Workshop on Semantic Evaluation, 2023

2022
Improved feature decay algorithms for statistical machine translation.
Nat. Lang. Eng., 2022

Benefiting from Language Similarity in the Multilingual MT Training: Case Study of Indonesian and Malaysian.
Proceedings of the Fifth Workshop on Technologies for Machine Translation of Low-Resource Languages, 2022

Rakuten's Participation in WAT 2022: Parallel Dataset Filtering by Leveraging Vocabulary Heterogeneity.
Proceedings of the 9th Workshop on Asian Translation, 2022

2021
On Machine Translation of User Reviews.
Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021), 2021

2020
Rapid Development of Competitive Translation Engines for Access to Multilingual COVID-19 Information.
Informatics, 2020

Using Multiple Subwords to Improve English-Esperanto Automated Literary Translation Quality.
CoRR, 2020

Facilitating Access to Multilingual COVID-19 Information via Neural Machine Translation.
CoRR, 2020

A Tool for Facilitating OCR Postediting in Historical Documents.
CoRR, 2020

Neural Machine Translation between similar South-Slavic languages.
Proceedings of the Fifth Conference on Machine Translation, 2020

Neural Machine Translation for translating into Croatian and Serbian.
Proceedings of the 7th Workshop on NLP for Similar Languages, Varieties and Dialects, 2020

Multiple Segmentations of Thai Sentences for Neural Machine Translation.
Proceedings of the 1st Joint Workshop on Spoken Language Technologies for Under-resourced languages and Collaboration and Computing for Under-Resourced Languages, 2020

The Impact of Indirect Machine Translation on Sentiment Classification.
Proceedings of the 14th Conference of the Association for Machine Translation in the Americas, 2020

Selecting Backtranslated Data from Multiple Sources for Improved Neural Machine Translation.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Adapting NMT to caption translation inWikimedia Commons for low-resource languages.
Proces. del Leng. Natural, 2019

Combining SMT and NMT Back-Translated Data for Efficient NMT.
CoRR, 2019

ABI Neural Ensemble Model for Gender Prediction Adapt Bar-Ilan Submission for the CLIN29 Shared Task on Gender Prediction.
CoRR, 2019

Combining PBSMT and NMT Back-translated Data for Efficient NMT.
Proceedings of the International Conference on Recent Advances in Natural Language Processing, 2019

Transductive Data-Selection Algorithms for Fine-Tuning Neural Machine Translation.
Proceedings of The 8th Workshop on Patent and Scientific Literature Translation@MTSummit 2019, 2019

Selecting Artificially-Generated Sentences for Fine-Tuning Neural Machine Translation.
Proceedings of the 12th International Conference on Natural Language Generation, 2019

ABI Neural Ensemble Model for Gender Prediction.
Proceedings of the Shared Task on Cross-Genre Gender Prediction in Dutch at CLIN29 (GxG@CLIN29) co-located with the 29th Conference on Computational Linguistics in The Netherlands (CLIN29), 2019

Adaptation of Machine Translation Models with Back-Translated Data Using Transductive Data Selection Methods.
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2019

2018
Understanding Meanings in Multilingual Customer Feedback.
CoRR, 2018

Extracting In-domain Training Corpora for Neural Machine Translation Using Data Selection Methods.
Proceedings of the Third Conference on Machine Translation: Research Papers, 2018

Data Selection with Feature Decay Algorithms Using an Approximated Target Side.
Proceedings of the 15th International Conference on Spoken Language Translation, 2018

The ADAPT System Description for the IWSLT 2018 Basque to English Translation Task.
Proceedings of the 15th International Conference on Spoken Language Translation, 2018

Feature Decay Algorithms for Neural Machine Translation.
Proceedings of the 21st Annual Conference of the European Association for Machine Translation, 2018

Investigating Backtranslation in Neural Machine Translation.
Proceedings of the 21st Annual Conference of the European Association for Machine Translation, 2018

SMT versus NMT: Preliminary comparisons for Irish.
Proceedings of the Workshop on Technologies for MT of Low Resource Languages, 2018

2017
Applying N-gram Alignment Entropy to Improve Feature Decay Algorithms.
Prague Bull. Math. Linguistics, 2017

IJCNLP-2017 Task 4: Customer Feedback Analysis.
Proceedings of the IJCNLP 2017, Shared Tasks, Taipei, Taiwan, November 27, 2017

ADAPT Centre Cone Team at IJCNLP-2017 Task 5: A Similarity-Based Logistic Regression Approach to Multi-choice Question Answering in an Examinations Shared Task.
Proceedings of the IJCNLP 2017, Shared Tasks, Taipei, Taiwan, November 27, 2017

2016
Extending Feature Decay Algorithms Using Alignment Entropy.
Proceedings of the Future and Emerging Trends in Language Technology. Machine Learning and Big Data, 2016


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