Nikolay Bogoychev

According to our database1, Nikolay Bogoychev authored at least 34 papers between 2014 and 2024.

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

Timeline

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Links

On csauthors.net:

Bibliography

2024
Monolingual or Multilingual Instruction Tuning: Which Makes a Better Alpaca.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

2023
OpusCleaner and OpusTrainer, open source toolkits for training Machine Translation and Large language models.
CoRR, 2023

Large Language Model Inference with Lexical Shortlisting.
CoRR, 2023

Monolingual or Multilingual Instruction Tuning: Which Makes a Better Alpaca.
CoRR, 2023

Terminology-Aware Translation with Constrained Decoding and Large Language Model Prompting.
Proceedings of the Eighth Conference on Machine Translation, 2023

The Edinburgh International Accents of English Corpus: Towards the Democratization of English ASR.
Proceedings of the IEEE International Conference on Acoustics, 2023

HPLT: High Performance Language Technologies.
Proceedings of the 24th Annual Conference of the European Association for Machine Translation, 2023

An Open Dataset and Model for Language Identification.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

2022
Findings of the WMT 2022 Shared Task on Efficient Translation.
Proceedings of the Seventh Conference on Machine Translation, 2022

Edinburgh's Submission to the WMT 2022 Efficiency Task.
Proceedings of the Seventh Conference on Machine Translation, 2022

Low-Rank Softmax Can Have Unargmaxable Classes in Theory but Rarely in Practice.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Decoding Time Lexical Domain Adaptationfor Neural Machine Translation.
CoRR, 2021

The University of Edinburgh's English-German and English-Hausa Submissions to the WMT21 News Translation Task.
Proceedings of the Sixth Conference on Machine Translation, 2021

Efficient Machine Translation with Model Pruning and Quantization.
Proceedings of the Sixth Conference on Machine Translation, 2021

TranslateLocally: Blazing-fast translation running on the local CPU.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 2021

Not all parameters are born equal: Attention is mostly what you need.
Proceedings of the Fourth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2021

2020
Speed-optimized, Compact Student Models that Distill Knowledge from a Larger Teacher Model: the UEDIN-CUNI Submission to the WMT 2020 News Translation Task.
Proceedings of the Fifth Conference on Machine Translation, 2020

Character Mapping and Ad-hoc Adaptation: Edinburgh's IWSLT 2020 Open Domain Translation System.
Proceedings of the 17th International Conference on Spoken Language Translation, 2020

Edinburgh's Submissions to the 2020 Machine Translation Efficiency Task.
Proceedings of the Fourth Workshop on Neural Generation and Translation, 2020

Parallel Sentence Mining by Constrained Decoding.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

In Neural Machine Translation, What Does Transfer Learning Transfer?
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Domain, Translationese and Noise in Synthetic Data for Neural Machine Translation.
CoRR, 2019

The University of Edinburgh's Submissions to the WMT19 News Translation Task.
Proceedings of the Fourth Conference on Machine Translation, 2019

From Research to Production and Back: Ludicrously Fast Neural Machine Translation.
Proceedings of the 3rd Workshop on Neural Generation and Translation@EMNLP-IJCNLP 2019, 2019

Combining Global Sparse Gradients with Local Gradients in Distributed Neural Network Training.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018
The University of Edinburgh's Submissions to the WMT18 News Translation Task.
Proceedings of the Third Conference on Machine Translation: Shared Task Papers, 2018

Accelerating Asynchronous Stochastic Gradient Descent for Neural Machine Translation.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Marian: Fast Neural Machine Translation in C++.
Proceedings of ACL 2018, Melbourne, Australia, July 15-20, 2018, System Demonstrations, 2018

2016
Fast and highly parallelizable phrase table for statistical machine translation.
Proceedings of the First Conference on Machine Translation, 2016

Modern MT: a new open-source machine translation platform for the translation industry.
Proceedings of the 19th Annual Conference of the European Association for Machine Translation: Projects/Products, 2016

Fast, Scalable Phrase-Based SMT Decoding.
Proceedings of the 12th Conferences of the Association for Machine Translation in the Americas: MT Researchers' Track, 2016

N-gram language models for massively parallel devices.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015
The Edinburgh/JHU Phrase-based Machine Translation Systems for WMT 2015.
Proceedings of the Tenth Workshop on Statistical Machine Translation, 2015

2014
Edinburgh SLT and MT system description for the IWSLT 2014 evaluation.
Proceedings of the 11th International Workshop on Spoken Language Translation: Evaluation Campaign@IWSLT 2014, 2014


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