عنوان

Using a Self-Organizing Map (SOM) and the Hyperspace Analog to Language (HAL) Model to Identify Patterns of Syntax and Structure in the Songs of Humpback Whales

Number

LA0vc7j5g2

.Language of Text, Soundtrack etc

انگلیسی

Title Proper

Using a Self-Organizing Map (SOM) and the Hyperspace Analog to Language (HAL) Model to Identify Patterns of Syntax and Structure in the Songs of Humpback Whales

General Material Designation

[Article]

First Statement of Responsibility

Kaufman, Allison B.; Green, Sean R.; Seitz, Aaron R.; Burgess, Curt

Text of Note

Two different fully automated models were used to examine syntax and structure in humpback whalesong. Songs were initially classified via a Self-Organizing Map (SOM), and then examined, via the Hyperspace Analog to Language (HAL) model, for evidence of a type of higher level organization -global co-occurrence - found in human language. HAL was able to identify particular "classes" ofsong units which were used interchangeably to form patterns in the song, not unlike the use of  noun verb-direct object   in human language, where the noun, verb, or direct object can be any one of many possibilities from that particular class. Further, HAL identified specific patterns unique to the songsand their respective geographical areas. These patterns provide support for the idea that humpback whale songs are unique to specific region and may be transmitted culturally.

Date of Publication

2012

Title

International Journal of Comparative Psychology

Volume Number

25/3

Entry Element

Kaufman, Allison B.; Green, Sean R.; Seitz, Aaron R.; Burgess, Curt

Electronic name

[Article]

275578

a

Y