---
title: "A Contextual Recognition System for Formal languages"
authors:
  - "Stephen C. Darden"
doi: ""
url: "https://ijcai.org/proceedings/1969/52"
pdf: "https://ijcai.org/proceedings/1969/0052.pdf"
venue: "Proceedings of the First International Joint Conference on Artificial Intelligence"
year: 1969
pages: "597-608"
track: "Linguistic and Contextual Methods in Pattern Recognition"
keywords:
---

# A Contextual Recognition System for Formal languages

Stephen C. Darden

*Proceedings of the First International Joint Conference on Artificial Intelligence*, pages 597-608.

## Abstract

This paper describes work in progress aimed a t obtaining a practical recognition system by filtering the noisy output of an inexpensive character classifier through multiple stages of context analysis to produce high-quality final output. The s y stem is designed to process the text of handprinted formal languages, such as programming languages and mathematical notation. The system is syntax-directed in that a contextual processor for a particular language is constructed by a one-time, algorithmic analysis of the language grammar. The resulting analysis engine massages the classifier output by successive vocabulary matching, namespacet clustering, and syntactic analysis to produce as output a syntactically valid interpretation of the text, with as many errors corrected as possible. A more complete description of the system can be found in Darden.