Rephrase this text: Automatic processing and understanding of Social Media Content (SMC) is currently attracting much attention from the Natural Language Processing research community.
The problem of language identification has been investigated for half a century (NAME_1, 1967) and that of computational analysis of code switching for several decades (NAME_2, 1982) , but there has been less work on automatic language identification for multilingual code-mixed texts.
This data comes from a popular social media site and hence is likely to reflect the linguistic properties of SMC.
2 We address the problem of word-level in three different ways:
The predominance of intersentential code mixing in social media text was also noted in the study by NAME_3 (2009), which compared the mixing in blog posts to that in the spoken language in Macao.