research
∙
08/02/2023
Chat Translation Error Detection for Assisting Cross-lingual Communications
In this paper, we describe the development of a communication support sy...
share
research
∙
06/26/2023
Exploring the Robustness of Large Language Models for Solving Programming Problems
Using large language models (LLMs) for source code has recently gained a...
research
∙
10/28/2022
Domain Adaptation of Machine Translation with Crowdworkers
Although a machine translation model trained with a large in-domain para...
research
∙
02/25/2022
JParaCrawl v3.0: A Large-scale English-Japanese Parallel Corpus
Most current machine translation models are mainly trained with parallel...
research
∙
06/10/2021
Input Augmentation Improves Constrained Beam Search for Neural Machine Translation: NTT at WAT 2021
This paper describes our systems that were submitted to the restricted t...
research
∙
11/04/2020
PheMT: A Phenomenon-wise Dataset for Machine Translation Robustness on User-Generated Contents
Neural Machine Translation (NMT) has shown drastic improvement in its qu...
research
∙
03/24/2020
Recovery command generation towards automatic recovery in ICT systems by Seq2Seq learning
With the increase in scale and complexity of ICT systems, their operatio...
research
∙
11/25/2019
JParaCrawl: A Large Scale Web-Based English-Japanese Parallel Corpus
Recent machine translation algorithms mainly rely on parallel corpora. H...
research
∙
07/09/2019
NTT's Machine Translation Systems for WMT19 Robustness Task
This paper describes NTT's submission to the WMT19 robustness task. This...
research
∙
06/19/2017
An Empirical Study of Mini-Batch Creation Strategies for Neural Machine Translation
Training of neural machine translation (NMT) models usually uses mini-ba...
research
∙
10/18/2015