Round-trip Machine Translation (MT) is a popular choice for paraphrase
g...
Relation extraction systems require large amounts of labeled examples wh...
Existing models of multilingual sentence embeddings require large parall...
Recent research on cross-lingual word embeddings has been dominated by
u...
We review motivations, definition, approaches, and methodology for
unsup...
Both human and machine translation play a central role in cross-lingual
...
Back-translation provides a simple yet effective approach to exploit
mon...
A recent research line has obtained strong results on bilingual lexicon
...
Recent research in cross-lingual word embeddings has almost exclusively
...
While machine translation has traditionally relied on large amounts of
p...
Following the recent success of word embeddings, it has been argued that...
While modern machine translation has relied on large parallel corpora, a...
Recent work has managed to learn cross-lingual word embeddings without
p...
In spite of the recent success of neural machine translation (NMT) in
st...