We present an approach based on multilingual sentence embeddings to automatically
extract parallel sentences from the content of Wikipedia articles in 85 languages, including …

We show that margin-based bitext mining in a multilingual sentence space can be applied to
monolingual corpora of billions of sentences. We are using ten snapshots of a curated …

Electronic texts and text analysis tools have opened up a wealth of opportunities to higher
education and language service providers, but learning to use these resources continues to …

In communication research, topic modeling is primarily used for discovering systematic
patterns in monolingual text corpora. To advance the usage, we provide an overview of …

Multiple approaches to grab comparable data from the Web have been developed up to
date. Nevertheless, coming out with a high-quality comparable corpus of a specific topic is …

Comparable corpora are important basic resources in cross-language information
processing. However, the existing methods of building comparable corpora, which use …

Parallel sentence extraction is a task addressing the data sparsity problem found in
multilingual natural language processing applications. We propose an end-to-end deep …

Retelling extraction is an important branch of Natural Language Processing (NLP), and high-
quality retelling resources are very helpful to improve the performance of machine …

Building parallel resources for corpus based machine translation, especially Statistical
Machine Translation (SMT), from comparable corpora has recently received wide attention …

Parallel corpora are vital components in several applications of Natural Language
Processing (NLP), particularly in machine translation. In this paper, we present a novel …