Netlang

Netlang performs linguistic network analysis by converting syntactic and morpho-syntactic annotations into graph representations for quantitative study of language structure.

Key Features:

• Integration of Linguistic Theory: Incorporates precise linguistic analyses grounded in established linguistic theory while preserving lexical categories and syntactic relations.
• Syntactic Dependency Analysis: Extracts detailed syntactic dependencies between words and captures relation types such as subject and object with morpho-syntactic annotations.
• Network Representation of Language: Transforms linguistic data into networks where words are nodes and edges encode syntactic and semantic relationships for complexity analysis.
• Improved Data Handling: Integrates data transformation and pruning functions and incorporates outputs from the DGA annotator, ToXML.pl, and Xml2Pairs.py.
• Versatile Output Formats: Produces multiple file formats compatible with network programs to enable downstream network analyses.

Scientific Applications:

• Theoretical Linguistics: Enables quantitative analysis of language structure and comparison of linguistic theories using network metrics.
• Complexity Analysis of Linguistic Production: Facilitates extraction of complexity patterns from linguistic production through graph-based measures.
• Clinical Language Assessment: Supports analysis of linguistic markers relevant to language disorders from textual or transcribed speech data for non-invasive clinical research.

Methodology:

Performs syntactic dependency and morpho-syntactic analysis, translates those annotations into graph representations with words as nodes and relations as edges, and applies data transformation and pruning using integrated functions from the DGA annotator, ToXML.pl, and Xml2Pairs.py.