Encoding Self-Embedded Sentences
Author(s) -
Maija S. Blaubergs
Publication year - 1976
Publication title -
language and speech
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.713
H-Index - 52
eISSN - 1756-6053
pISSN - 0023-8309
DOI - 10.1177/002383097601900101
Subject(s) - encoding (memory) , decoding methods , computer science , sentence , natural language processing , encode , embedding , artificial intelligence , speech recognition , linguistics , algorithm , biochemistry , chemistry , gene , philosophy
Are encoding and decoding mirror image processes? Previous studies show that semantically supported self-embedded sentences are easier to decode than semantically neutral sentences. A procedure for testing encoding is developed. The hypothesis that semantically supported self-embedded sentences are not easier to encode than semantically neutral sentences is supported. An analysis of the errors made indicates that although errors increase with increasing sentence complexity, subjects can produce the correct orderings of subjects and predicates in sentences with up to five degrees of self-embedding. It is concluded that the scarcity of complex self-embedded sentences is not based primarily on memory limitations in the encoding of sentences, but more likely on the memory requirements in decoding.
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