Dimitar Sht. Shterionov

Orcid: 0000-0001-6300-797X

According to our database1, Dimitar Sht. Shterionov authored at least 47 papers between 2010 and 2023.

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

Timeline

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PhD thesis 
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Bibliography

2023
A Systematic Analysis of Vocabulary and BPE Settings for Optimal Fine-tuning of NMT: A Case Study of In-domain Translation.
CoRR, 2023

Evaluating the Effectiveness of Pre-trained Language Models in Predicting the Helpfulness of Online Product Reviews.
CoRR, 2023



GoSt-ParC-Sign: Gold Standard Parallel Corpus of Sign and spoken language.
Proceedings of the 24th Annual Conference of the European Association for Machine Translation, 2023

Tailoring Domain Adaptation for Machine Translation Quality Estimation.
Proceedings of the 24th Annual Conference of the European Association for Machine Translation, 2023


The Ecological Footprint of Neural Machine Translation Systems.
Proceedings of the Towards Responsible Machine Translation, 2023

2022
Machine Translation from Signed to Spoken Languages: State of the Art and Challenges.
CoRR, 2022

The Ecological Footprint of Neural Machine Translation Systems.
CoRR, 2022


Challenges with Sign Language Datasets for Sign Language Recognition and Translation.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Sign Language Translation: Ongoing Development, Challenges and Innovations in the SignON Project.
Proceedings of the 23rd Annual Conference of the European Association for Machine Translation, 2022

A Quality Estimation and Quality Evaluation Tool for the Translation Industry.
Proceedings of the 23rd Annual Conference of the European Association for Machine Translation, 2022

"Vaderland", "Volk" and "Natie": Semantic Change Related to Nationalism in Dutch Literature Between 1700 and 1880 Captured with Dynamic Bernoulli Word Embeddings.
Proceedings of the 3rd Workshop on Computational Approaches to Historical Language Change, 2022

2021
A review of the state-of-the-art in automatic post-editing.
Mach. Transl., 2021

Selecting Parallel In-domain Sentences for Neural Machine Translation Using Monolingual Texts.
CoRR, 2021

SignON: Bridging the gap between Sign and Spoken Languages.
Proceedings of the Annual Conference of the Spanish Association for Natural Language Processing: Projects and Demonstrations (SEPLN-PD 2021) co-located with the Conference of the Spanish Society for Natural Language Processing (SEPLN 2021), 2021

Defining meaningful units. Challenges in sign segmentation and segment-meaning mapping (short paper).
Proceedings of the 1st International Workshop on Automatic Translation for Signed and Spoken Languages, 2021

Proceedings of the 1st International Workshop on Automatic Translation for Signed and Spoken Languages (AT4SSL).
Proceedings of the 1st International Workshop on Automatic Translation for Signed and Spoken Languages, 2021

NeuTral Rewriter: A Rule-Based and Neural Approach to Automatic Rewriting into Gender Neutral Alternatives.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Machine Translationese: Effects of Algorithmic Bias on Linguistic Complexity in Machine Translation.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

2020
A roadmap to neural automatic post-editing: an empirical approach.
Mach. Transl., 2020

An Investigative Study of Multi-Modal Cross-Lingual Retrieval.
Proceedings of the workshop on Cross-Language Search and Summarization of Text and Speech, 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
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

Towards language-agnostic alignment of product titles and descriptions: a neural approach.
Proceedings of the Companion of The 2019 World Wide Web Conference, 2019

APE through Neural and Statistical MT with Augmented Data. ADAPT/DCU Submission to the WMT 2019 APE Shared Task.
Proceedings of the Fourth Conference on Machine Translation, 2019

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

Lost in Translation: Loss and Decay of Linguistic Richness in Machine Translation.
Proceedings of Machine Translation Summit XVII Volume 1: Research Track, 2019

When less is more in Neural Quality Estimation of Machine Translation. An industry case study.
Proceedings of Machine Translation Summit XVII Volume 2: Translator, 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

2018
Human versus automatic quality evaluation of NMT and PBSMT.
Mach. Transl., 2018

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

2017
Integration of a Multilingual Preordering Component into a Commercial SMT Platform.
Prague Bull. Math. Linguistics, 2017

Zero-Shot Translation for Indian Languages with Sparse Data.
Proceedings of Machine Translation Summit XVI, 2017

2016
Improving KantanMT Training Efficiency with fast_align.
Proceedings of the 12th Conferences of the Association for Machine Translation in the Americas: MT Users' Track, 2016

Divide and Conquer Strategy for Large Data MT.
Proceedings of the 12th Conferences of the Association for Machine Translation in the Americas: MT Users' Track, 2016

2015
Design and Development of Probabilistic Inference Pipelines ; Ontwerp en ontwikkeling van een pijpleiding architectuur voor probabilistische inferentie.
PhD thesis, 2015

Inference and learning in probabilistic logic programs using weighted Boolean formulas.
Theory Pract. Log. Program., 2015

Crucial components in probabilistic inference pipelines.
Proceedings of the 30th Annual ACM Symposium on Applied Computing, 2015

Implementation and Performance of Probabilistic Inference Pipelines.
Proceedings of the Practical Aspects of Declarative Languages, 2015

Compacting Boolean Formulae for Inference in Probabilistic Logic Programming.
Proceedings of the Logic Programming and Nonmonotonic Reasoning, 2015

2014
The Most Probable Explanation for Probabilistic Logic Programs with Annotated Disjunctions.
Proceedings of the Inductive Logic Programming - 24th International Conference, 2014

2013
Pattern-Based Compaction for ProbLog Inference.
Theory Pract. Log. Program., 2013

2010
DNF Sampling for ProbLog Inference
CoRR, 2010


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