Research on the Recognition of Chinese Autonomous Verbs Based on Semantic Selection Restriction and Natural Annotation Information

Abstract

Verb has always been an important yet challenging topic in linguistic research. The secondary classification of verbs is of great value for language ontology and language applied research. This paper investigated the computer recognition of autonomous verbs and constructed rules for recognizing such verbs, which is based on the contextual characteristics of automatic verbs and some natural annotation information (mainly punctuations and position information). A rule-based automatic recognition algorithm was thus devised. The F1 value of the algorithm is 86.3% on the manually labeled test data.