Language Identification of Short Text Segments with N-gram Models

There are many accurate methods for language identification of long text samples, but identification of very short strings still presents a challenge. This paper studies a language identification task, in which the test samples have only 5

• Type: Journal
• Year: 2010
• Where: LREC
• Authors: Tommi Vatanen, Jaakko J. Väyrynen, Sami Virpioja
• Keywords: Education, Language Identification, LREC 2010, N-gram Model, Ranking Method