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Neural machine translation: A review
The field of machine translation (MT), the automatic translation of written text from one
natural language into another, has experienced a major paradigm shift in recent years …
natural language into another, has experienced a major paradigm shift in recent years …
Survey on reinforcement learning for language processing
In recent years some researchers have explored the use of reinforcement learning (RL)
algorithms as key components in the solution of various natural language processing (NLP) …
algorithms as key components in the solution of various natural language processing (NLP) …
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 difficult problem,
and there is increasing evidence that inadequate evaluation procedures can lead to …
and there is increasing evidence that inadequate evaluation procedures can lead to …
Hyporadise: An open baseline for generative speech recognition with large language models
C Chen, Y Hu, CHH Yang… - Advances in …, 2023 - proceedings.neurips.cc
Advancements in deep neural networks have allowed automatic speech recognition (ASR)
systems to attain human parity on several publicly available clean speech datasets …
systems to attain human parity on several publicly available clean speech datasets …
Mass: Masked sequence to sequence pre-training for language generation
Pre-training and fine-tuning, eg, BERT, have achieved great success in language
understanding by transferring knowledge from rich-resource pre-training task to the low/zero …
understanding by transferring knowledge from rich-resource pre-training task to the low/zero …
Findings of the 2019 conference on machine translation (WMT19)
L Barrault, O Bojar, MR Costa-Jussa, C Federmann… - 2019 - zora.uzh.ch
This paper presents the results of the premier shared task organized alongside the
Conference on Machine Translation (WMT) 2019. Participants were asked to build machine …
Conference on Machine Translation (WMT) 2019. Participants were asked to build machine …
Transforming machine translation: a deep learning system reaches news translation quality comparable to human professionals
The quality of human translation was long thought to be unattainable for computer
translation systems. In this study, we present a deep-learning system, CUBBITT, which …
translation systems. In this study, we present a deep-learning system, CUBBITT, which …
Massively multilingual sentence embeddings for zero-shot cross-lingual transfer and beyond
We introduce an architecture to learn joint multilingual sentence representations for 93
languages, belonging to more than 30 different families and written in 28 different scripts …
languages, belonging to more than 30 different families and written in 28 different scripts …
Survey of low-resource machine translation
We present a survey covering the state of the art in low-resource machine translation (MT)
research. There are currently around 7,000 languages spoken in the world and almost all …
research. There are currently around 7,000 languages spoken in the world and almost all …
Simple, scalable adaptation for neural machine translation
Fine-tuning pre-trained Neural Machine Translation (NMT) models is the dominant approach
for adapting to new languages and domains. However, fine-tuning requires adapting and …
for adapting to new languages and domains. However, fine-tuning requires adapting and …