research
∙
09/16/2023
Monolingual or Multilingual Instruction Tuning: Which Makes a Better Alpaca
Foundational large language models (LLMs) can be instruction-tuned to de...
share
research
∙
03/31/2023
The Edinburgh International Accents of English Corpus: Towards the Democratization of English ASR
English is the most widely spoken language in the world, used daily by m...
research
∙
03/12/2022
Low-Rank Softmax Can Have Unargmaxable Classes in Theory but Rarely in Practice
Classifiers in natural language processing (NLP) often have a large numb...
research
∙
09/21/2021
TranslateLocally: Blazing-fast translation running on the local CPU
Every day, millions of people sacrifice their privacy and browsing habit...
research
∙
01/02/2021
Decoding Time Lexical Domain Adaptationfor Neural Machine Translation
Machine translation systems are vulnerable to domain mismatch, especiall...
research
∙
10/22/2020
Not all parameters are born equal: Attention is mostly what you need
Transformers are widely used in state-of-the-art machine translation, bu...
research
∙
11/06/2019
Domain, Translationese and Noise in Synthetic Data for Neural Machine Translation
The quality of neural machine translation can be improved by leveraging ...
research
∙
07/12/2019
The University of Edinburgh's Submissions to the WMT19 News Translation Task
The University of Edinburgh participated in the WMT19 Shared Task on New...
research
∙
08/27/2018
Accelerating Asynchronous Stochastic Gradient Descent for Neural Machine Translation
In order to extract the best possible performance from asynchronous stoc...
research
∙
04/01/2018
Marian: Fast Neural Machine Translation in C++
We present Marian, an efficient and self-contained Neural Machine Transl...
research
∙
10/13/2016