Artificial Intelligence

   

Syllabic Networks: Measuring the Redundancy of Associative Syntactic Patterns

Authors: Bradly Alicea

The self-organization and diversity inherent in natural and artificial language can be revealed using a technique called syllabic network decomposition. The topology of such networks are determined by a series of linguistic strings which are broken apart at critical points and then linked together in a non-linear fashion. Small proof-of-concept examples are given using words from the English language. A criterion for connectedness and two statistical parameters for measuring connectedness are applied to these examples. To conclude, we will discuss some applications of this technique, ranging from improving models of speech recognition to bioinformatic analysis and recreational games.

Comments: 6 Pages. 3 figures, 1 table

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Submission history

[v1] 2016-05-29 02:24:48

Unique-IP document downloads: 26 times

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