The media localization industry usually requires a verbatim script of th...
To translate speech for automatic dubbing, machine translation needs to ...
Automatic dubbing (AD) is the task of translating the original speech in...
This paper addresses the task of contextual translation using multi-segm...
Several recent studies have reported dramatic performance improvements i...
We explore zero-shot adaptation, where a general-domain model has access...
We hypothesize that existing sentence-level machine translation (MT) met...
Sockeye 3 is the latest version of the Sockeye toolkit for Neural Machin...
The machine translation (MT) task is typically formulated as that of
ret...
The goal of automatic dubbing is to perform speech-to-speech translation...
Automatic dubbing (AD) is among the use cases where translations should ...
We introduce the task of prosody-aware machine translation which aims at...
Automatic dubbing aims at seamlessly replacing the speech in a video doc...
The COVID-19 pandemic is the worst pandemic to strike the world in over ...
A variety of natural language tasks require processing of textual data w...
We present enhancements to a speech-to-speech translation pipeline in or...
Multilingual Neural Machine Translation (MNMT) for low-resource language...
The recent advances introduced by neural machine translation (NMT) are
r...
Neural machine translation models have shown to achieve high quality whe...
Neural Machine Translation (NMT) models generally perform translation us...
In recent years, Neural Machine Translation (NMT) has been shown to be m...
This paper proposes a novel method to inject custom terminology into neu...
We propose a variation to the commonly used Word Error Rate (WER) metric...
Machine translation systems are conventionally trained on textual resour...
Recent work on multilingual neural machine translation reported competit...
We propose a method to transfer knowledge across neural machine translat...
Both research and commercial machine translation have so far neglected t...
Recently, neural machine translation (NMT) has been extended to
multilin...
Recurrent neural networks (RNNs) have represented for years the state of...
Neural machine translation (NMT) models are typically trained with fixed...
The necessity of using a fixed-size word vocabulary in order to control ...
Within the field of Statistical Machine Translation (SMT), the neural
ap...
Word reordering is one of the most difficult aspects of statistical mach...