Visual Identity for Langnet
Complex Networks across Language Levels*
Written, as well as spoken language can be modeled via complex networks where the lingual units (words) are represented by vertices and their linguistic interactions by links. Language networks are a powerful formalism to the quantitative study of language structure at various language sublevels: phonological, morphological, syntactic or semantic. Language network analysis enables: the examination of structural complexities of each language sublevel and their mutual interactions; the systematic investigation of language evolution; the modeling of language acquisition; the modeling of mental lexicons, assessing the text quality, authorship attribution, disambiguation of the word’s meaning in a semantic context.
The aim of the Langnet project is to design the methodology for complexity evaluation across language levels using complex networks by establishing an information science bridge between linguistics, complex networks and natural language processing.