research
∙
09/19/2023
MBR and QE Finetuning: Training-time Distillation of the Best and Most Expensive Decoding Methods
Recent research in decoding methods for Natural Language Generation (NLG...
share
research
∙
08/25/2023
Training and Meta-Evaluating Machine Translation Evaluation Metrics at the Paragraph Level
As research on machine translation moves to translating text beyond the ...
research
∙
08/14/2023
The Devil is in the Errors: Leveraging Large Language Models for Fine-grained Machine Translation Evaluation
Automatic evaluation of machine translation (MT) is a critical tool driv...
research
∙
05/23/2023
Ties Matter: Modifying Kendall's Tau for Modern Metric Meta-Evaluation
Kendall's tau is frequently used to meta-evaluate how well machine trans...
research
∙
05/23/2023
INSTRUCTSCORE: Towards Explainable Text Generation Evaluation with Automatic Feedback
The field of automatic evaluation of text generation made tremendous pro...
research
∙
05/17/2023
Epsilon Sampling Rocks: Investigating Sampling Strategies for Minimum Bayes Risk Decoding for Machine Translation
Recent advances in machine translation (MT) have shown that Minimum Baye...
research
∙
02/19/2023
Scaling Laws for Multilingual Neural Machine Translation
In this work, we provide a large-scale empirical study of the scaling pr...
research
∙
11/16/2022
Prompting PaLM for Translation: Assessing Strategies and Performance
Large language models (LLMs) that have been trained on multilingual but ...
research
∙
10/06/2022
Language Models are Multilingual Chain-of-Thought Reasoners
We evaluate the reasoning abilities of large language models in multilin...
research
∙
05/04/2022
Original or Translated? A Causal Analysis of the Impact of Translationese on Machine Translation Performance
Human-translated text displays distinct features from naturally written ...
research
∙
04/11/2022
Toward More Effective Human Evaluation for Machine Translation
Improvements in text generation technologies such as machine translation...
research
∙
11/17/2021
Minimum Bayes Risk Decoding with Neural Metrics of Translation Quality
This work applies Minimum Bayes Risk (MBR) decoding to optimize diverse ...
research
∙
09/16/2021
Scaling Laws for Neural Machine Translation
We present an empirical study of scaling properties of encoder-decoder T...
research
∙
07/09/2021
Using Machine Translation to Localize Task Oriented NLG Output
One of the challenges in a task oriented natural language application li...
research
∙
06/30/2021
What Can Unsupervised Machine Translation Contribute to High-Resource Language Pairs?
Whereas existing literature on unsupervised machine translation (MT) foc...
research
∙
04/29/2021
Experts, Errors, and Context: A Large-Scale Study of Human Evaluation for Machine Translation
Human evaluation of modern high-quality machine translation systems is a...
research
∙
04/12/2021
Assessing Reference-Free Peer Evaluation for Machine Translation
Reference-free evaluation has the potential to make machine translation ...
research
∙
10/20/2020
Human-Paraphrased References Improve Neural Machine Translation
Automatic evaluation comparing candidate translations to human-generated...
research
∙
10/20/2020
Complete Multilingual Neural Machine Translation
Multilingual Neural Machine Translation (MNMT) models are commonly train...
research
∙
10/08/2020
Learning to Evaluate Translation Beyond English: BLEURT Submissions to the WMT Metrics 2020 Shared Task
The quality of machine translation systems has dramatically improved ove...
research
∙
09/23/2020
KoBE: Knowledge-Based Machine Translation Evaluation
We propose a simple and effective method for machine translation evaluat...
research
∙
04/13/2020
BLEU might be Guilty but References are not Innocent
The quality of automatic metrics for machine translation has been increa...
research
∙
11/10/2019
Translationese as a Language in "Multilingual" NMT
Machine translation has an undesirable propensity to produce "translatio...
research
∙
04/09/2019
Text Repair Model for Neural Machine Translation
In this work, we train a text repair model as a post-processor for Neura...
research
∙
04/21/2018
Unsupervised Natural Language Generation with Denoising Autoencoders
Generating text from structured data is important for various tasks such...
research
∙
06/12/2017
Attention-based Vocabulary Selection for NMT Decoding
Neural Machine Translation (NMT) models usually use large target vocabul...
research
∙
02/10/2017
Local System Voting Feature for Machine Translation System Combination
In this paper, we enhance the traditional confusion network system combi...
research
∙
02/06/2017
Beam Search Strategies for Neural Machine Translation
The basic concept in Neural Machine Translation (NMT) is to train a larg...
research
∙
02/06/2017
Ensemble Distillation for Neural Machine Translation
Knowledge distillation describes a method for training a student network...
research
∙
12/20/2016