What does it take to create the Babel Fish, a tool that can help individ...
Driven by the goal of eradicating language barriers on a global scale,
m...
Obtaining meaningful quality scores for machine translation systems thro...
A multilingual tokenizer is a fundamental component of multilingual neur...
We aim to investigate the performance of current OCR systems on low reso...
Recent work in multilingual machine translation (MMT) has focused on the...
Sentence-level Quality estimation (QE) of machine translation is
traditi...
Mistranslated numbers have the potential to cause serious effects, such ...
Neural machine translation systems are known to be vulnerable to adversa...
Cross-lingual document representations enable language understanding in
...
One of the biggest challenges hindering progress in low-resource and
mul...
The scarcity of parallel data is a major obstacle for training high-qual...
Cross-lingual named-entity lexicon are an important resource to multilin...
Quality estimation aims to measure the quality of translated content wit...
Multilingual neural machine translation has shown the capability of dire...
As modern neural machine translation (NMT) systems have been widely depl...
We present MLQE-PE, a new dataset for Machine Translation (MT) Quality
E...
The COVID-19 pandemic is the worst pandemic to strike the world in over ...
Quality Estimation (QE) is an important component in making Machine
Tran...
Cross-lingual document alignment aims to identify pairs of documents in ...
We explore the applicability of machine translation evaluation (MTE) met...
We present a novel framework for machine translation evaluation using ne...
We present novel automatic metrics for machine translation evaluation th...
Cross-lingual document alignment aims to identify pairs of documents in ...
This paper shows that pretraining multilingual language models at scale ...
Pre-training text representations have led to significant improvements i...
We present an approach based on multilingual sentence embeddings to
auto...
In this paper, we describe our submission to the WMT19 low-resource para...
The vast majority of language pairs in the world are low-resource becaus...
We present a framework for machine translation evaluation using neural
n...
In this article, we explore the potential of using sentence-level discou...
The paper describes the Egyptian Arabic-to-English statistical machine
t...