Word embeddings are well known to capture linguistic regularities of the language on which
they are trained. Researchers also observe that these regularities can transfer across …

We present a novel method for discovering parallel sentences in comparable, non-parallel
corpora. We train a maximum entropy classifier that, given a pair of sentences, can reliably …

This work improves monolingual sentence alignment for text simplification, specifically for
text in standard and simple Wikipedia. We introduce a method that improves over past efforts …

We present a novel method for extracting parallel sub-sentential fragments from
comparable, non-parallel bilingual corpora. By analyzing potentially similar sentence pairs …

Abstract We present MultiP (Multi-instance Learning Paraphrase Model), a new model
suited to identify paraphrases within the short messages on Twitter. We jointly model …

Availability of corpora with technical and simplified contents is crucial for the development
and test of methods for text simplification. We describe this kind of corpus for the French …

We present a simple and effective method for extracting parallel sentences from comparable
corpora. We employ a statistical machine translation (SMT) system built from small amounts …

The performance of current sentence alignment tools varies according to the to-bealigned
texts. We have found existing tools unsuitable for hard-to-align parallel texts and describe an …

Neural Machine translation has shown promising results in recent years. In order to control
the computational complexity, NMT has to employ a small vocabulary, and massive rare …

Machine translation can be considered a highly interdisciplinary and multidisciplinary field
because it is approached from the point of view of human translators, engineers, computer …