This demo implements the machine learning method for sign tagging presented in Dornescu et al., (2013). The program classifies signs of syntactic complexity in accordance with the scheme described in Evans and Orasan (2013). In this setting, signs of syntactic complexity are a predefined set of conjunctions, relative pronouns, and punctuation marks. Class labels applied by the sign tagger indicate the specific syntactic linking and bounding functions of the different signs. There are three broad groups of class labels: coordinators, left boundaries of subordinate clauses, and right boundaries of subordinate clauses. The interface to the demo provides more details about each sub-class of the three main classes.

Found a problem or want to suggest a feature? Visit the Sign Tagger Web Demo and Sign Tagger github repositories.