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

شماره

LA0vc7j5g2

زبان متن نوشتاري يا گفتاري و مانند آن

انگلیسی

عنوان اصلي

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

نام عام مواد

[Article]

نام نخستين پديدآور

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

متن يادداشت

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.

تاريخ نشر

2012

عنوان

International Journal of Comparative Psychology

شماره جلد

25/3

عنصر شناسه اي

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

نام الکترونيکي

نوع ماده

[Article]

کد کاربرگه

275578

سطح دسترسي

a

تكميل شده

Y