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Direct linkSchillinger, Dean; Balyan, Renu; Crossley, Scott A.; McNamara, Danielle S.; Liu, Jennifer Y.; Karter, Andrew J. – Grantee Submission, 2020
Objective: To develop novel, scalable, and valid literacy profiles for identifying limited health literacy patients by harnessing natural language processing. Data Source: With respect to the linguistic content, we analyzed 283 216 secure messages sent by 6941 diabetes patients to physicians within an integrated system's electronic portal.…
Descriptors: Literacy, Profiles, Computational Linguistics, Syntax
KAY, MARTIN; TAFT, TERRIL D. – 1967
DESIGNED FOR LINGUISTS AND LEXICOGRAPHERS, THE COLLECT SYSTEM CAN ANALYZE THE SYNTAX AND SEMANTICS OF RUSSIAN SENTENCES BY SEARCHING A FILE OF RUSSIAN TEXT. IN A TYPICAL SEARCH ON A GIVEN SENTENCE, GRAMMATICAL RELATIONSHIPS, INDIVIDUAL WORD SPELLINGS, AND WORD OCCURRENCES CAN BE DETERMINED. SINCE THE SYSTEM INCLUDES INTERPRETERS, THE LINGUIST CAN…
Descriptors: Computational Linguistics, Grammar, Information Retrieval, Information Systems
DOLBY, J.L.; AND OTHERS – 1965
THE STUDY IS CONCERNED WITH THE LINGUISTIC PROBLEM INVOLVED IN TEXT COMPRESSION--EXTRACTING, INDEXING, AND THE AUTOMATIC CREATION OF SPECIAL-PURPOSE CITATION DICTIONARIES. IN SPITE OF EARLY SUCCESS IN USING LARGE-SCALE COMPUTERS TO AUTOMATE CERTAIN HUMAN TASKS, THESE PROBLEMS REMAIN AMONG THE MOST DIFFICULT TO SOLVE. ESSENTIALLY, THE PROBLEM IS TO…
Descriptors: Algorithms, Computational Linguistics, Data Processing, English
MARTINS, GARY R.; SMITH, STEVEN B. – 1965
A COMPUTER PROCEDURE IS DESCRIBED FOR PARSING RUSSIAN SENTENCES WITH A CONTEXT-FREE RECOGNITION GRAMMAR. THIS IS THE FIRST PROJECT UNDER A PROGRAM FOR THE INVESTIGATION OF SEVERAL ASPECTS OF NATURAL LANGUAGE DATA PROCESSING BY FORMALIZED METHODS TO DETERMINE THE USEFULNESS OF FORMALIZED LINGUISTIC TECHNIQUES IN PRACTICAL LANGUAGE DATA PROCESSING…
Descriptors: Computational Linguistics, Computer Programs, Context Free Grammar, Data Processing
Chou, Chun-Hui; Bartz, Kevin – California Teachers of English to Speakers of Other Languages, 2007
This paper evaluates the effect of Chinese non-native English-speaking teachers (NNESTs) on Chinese ESL students' struggles with English syntax. The paper first classifies Chinese learners' syntactic errors into 10 common types. It demonstrates how each type of error results from an internal attempt to translate a common Chinese construction into…
Descriptors: Syntax, Second Language Learning, Computational Linguistics, English (Second Language)
