A Contextual Recognition System for Formal languages
Proceedings of the First International Joint Conference on Artificial Intelligence. Linguistic and Contextual Methods in Pattern Recognition. 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.
@inproceedings{ijcai1969p52,
title = {A Contextual Recognition System for Formal languages},
author = {Darden, Stephen C.},
booktitle = {Proceedings of the First International Joint Conference on
Artificial Intelligence, {IJCAI-69}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Donald E. Walker and David C. Cooper},
pages = {597--608},
year = {1969},
month = {5},
note = {Linguistic and Contextual Methods in Pattern Recognition},
url = {https://ijcai.org/proceedings/1969/52},
}
TY - CPAPER TI - A Contextual Recognition System for Formal languages AU - Darden, Stephen C. T2 - Proceedings of the First International Joint Conference on Artificial Intelligence, IJCAI-69 PB - International Joint Conferences on Artificial Intelligence PY - 1969 SP - 597 EP - 608 UR - https://ijcai.org/proceedings/1969/52 ER -Copied
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