2 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.CL2023
Terminology-Aware Translation with Constrained Decoding and Large Language Model Prompting
Nikolay Bogoychev, Pinzhen Chen
Terminology correctness is important in the downstream application of machine translation, and a prevalent way to ensure this is to inject terminology constraints into a translatio…
cs.CL2023★ 1 cited
The Edinburgh International Accents of English Corpus: Towards the Democratization of English ASR
Ramon Sanabria, Nikolay Bogoychev, Nina Markl +3
English is the most widely spoken language in the world, used daily by millions of people as a first or second language in many different contexts. As a result, there are many vari…
cs.CL2016★ 2 cited
Fast, Scalable Phrase-Based SMT Decoding
Hieu Hoang, Nikolay Bogoychev, Lane Schwartz +1
The utilization of statistical machine translation (SMT) has grown enormously over the last decade, many using open-source software developed by the NLP community. As commercial us…