Descriptor
Componential Analysis | 4 |
Linguistic Theory | 4 |
Structural Analysis… | 4 |
Language Processing | 3 |
Semantics | 3 |
Computational Linguistics | 2 |
Context Clues | 2 |
Expert Systems | 2 |
Information Systems | 2 |
Syntax | 2 |
Algorithms | 1 |
More ▼ |
Source
Journal of the American… | 2 |
Publication Type
Journal Articles | 2 |
Opinion Papers | 2 |
Reports - Evaluative | 2 |
Reports - Research | 2 |
Speeches/Meeting Papers | 1 |
Education Level
Audience
Researchers | 4 |
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Marzano, Robert J. – 1983
A system of quantitative techniques for describing the English language from a number of perspectives, intended for the language analyst, is presented. The grammar combines an emerging knowledge of semantics with existing detailed knowledge of syntax. The primary unit of analysis is the predication, a group of related concepts expressed as a…
Descriptors: Componential Analysis, English, Grammar, Language Research

Stevens, Alan M. – 1985
An investigation, analyzing the linking of skeleton and syntactical rules of Madurese, presents counterevidence to Marantz's claims about the nature of reduplication, and to Carrier-Duncan's claim that reduplication must precede all phonological rules. It is proposed that reduplication in Madurese is not affixation, as Marantz claims, and can be…
Descriptors: Componential Analysis, Consonants, Language Patterns, Language Processing

Das-Gupta, Padmini – Journal of the American Society for Information Science, 1987
Presents an algorithm for use in natural language document retrieval systems which automatically determines if the conjunction "and" in a statement representing an information need should be translated into a Boolean "and" or "or." The results of an experiment that used the algorithm are reported, and further research is suggested. (CLB)
Descriptors: Algorithms, Componential Analysis, Computational Linguistics, Conjunctions

Vleduts-Stokolov, Natasha – Journal of the American Society for Information Science, 1987
Describes a system developed for the automatic recognition of biological concepts in titles of scientific articles; reports results of several pilot experiments which tested the system's performance; analyzes typical ambiguity problems encountered by the system; describes a disambiguation technique that was developed; and discusses future plans…
Descriptors: Automatic Indexing, Biological Sciences, Componential Analysis, Computational Linguistics