Building comparable corpora from social networks

Working with comparable corpora becomes an interesting alternative to rare parallel corpora in different natural language tasks. Therefore many researchers have accentuated the need of large quantities of such corpora and the need to work on their construction. In this paper, we highlight the interest and usefulness of textual data mining in social networks. We propose the extraction of tweets from the microblog Twitter in order to construct a comparable corpus. This work aims to develop a new method for the construction of comparable corpus from twitter that could be used in forthcoming work to construct a bilingual dictionary, using text mining approach.