{'fraction_non_alphanumeric': 0.019693654266958426, 'fraction_numerical': 0.0, 'mean_word_length': 5.398601398601398, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Natural language interface for an expert system

This paper provides complete analysis of natural language interface from the screen manager to the parser/understander, even though it has some limitations. The main focus is on the design and development of a subsystem for understanding natural language input in an expert system. Fast response time and user‐friendliness were the most important considerations in the design. The screen manager provides an easy editing capability for the user. The spelling correction system can detect most spelling errors and correct them automatically, quickly and effectively. The Lexical Functional Grammar (LFG) parser and the understander are designed to handle most types of simple sentences, fragments, and ellipses. As a result, this system as applied to a man‐machine dialogue gives improved ill‐formed natural language input handling capabilities to the expert system.