research
∙
09/16/2023
SLIDE: Reference-free Evaluation for Machine Translation using a Sliding Document Window
Reference-based metrics that operate at the sentence level typically out...
share
research
∙
02/28/2023
Large Language Models Are State-of-the-Art Evaluators of Translation Quality
We describe GEMBA, a GPT-based metric for assessment of translation qual...
research
∙
01/21/2023
Poor Man's Quality Estimation: Predicting Reference-Based MT Metrics Without the Reference
Machine translation quality estimation (QE) predicts human judgements of...
research
∙
10/20/2022
Searching for a higher power in the human evaluation of MT
In MT evaluation, pairwise comparisons are conducted to identify the bet...
research
∙
02/25/2022
The Reality of Multi-Lingual Machine Translation
Our book "The Reality of Multi-Lingual Machine Translation" discusses th...
research
∙
07/22/2021
To Ship or Not to Ship: An Extensive Evaluation of Automatic Metrics for Machine Translation
Automatic metrics are commonly used as the exclusive tool for declaring ...
research
∙
04/21/2021
On User Interfaces for Large-Scale Document-Level Human Evaluation of Machine Translation Outputs
Recent studies emphasize the need of document context in human evaluatio...
research
∙
02/17/2021
THEaiTRE 1.0: Interactive generation of theatre play scripts
We present the first version of a system for interactive generation of t...
research
∙
10/22/2020
CUNI Systems for the Unsupervised and Very Low Resource Translation Task in WMT20
This paper presents a description of CUNI systems submitted to the WMT20...
research
∙
10/12/2020
Gender Coreference and Bias Evaluation at WMT 2020
Gender bias in machine translation can manifest when choosing gender inf...
research
∙
07/06/2020
Announcing CzEng 2.0 Parallel Corpus with over 2 Gigawords
We present a new release of the Czech-English parallel corpus CzEng 2.0 ...
research
∙
06/25/2020
THEaiTRE: Artificial Intelligence to Write a Theatre Play
We present THEaiTRE, a starting project aimed at automatic generation of...
research
∙
01/06/2020
Exploring Benefits of Transfer Learning in Neural Machine Translation
Neural machine translation is known to require large numbers of parallel...
research
∙
09/24/2019
Transfer Learning across Languages from Someone Else's NMT Model
Neural machine translation is demanding in terms of training time, hardw...
research
∙
09/02/2018
Trivial Transfer Learning for Low-Resource Neural Machine Translation
Transfer learning has been proven as an effective technique for neural m...
research
∙
06/18/2018
SubGram: Extending Skip-gram Word Representation with Substrings
Skip-gram (word2vec) is a recent method for creating vector representati...
research
∙
11/24/2017
An Exploration of Word Embedding Initialization in Deep-Learning Tasks
Word embeddings are the interface between the world of discrete units of...
research
∙
07/29/2017
Curriculum Learning and Minibatch Bucketing in Neural Machine Translation
We examine the effects of particular orderings of sentence pairs on the ...
research
∙
01/12/2017