DiscussWorldIssues - Socio-Economic Religion and Political Uncensored Debate - View Single Post

**MannoFr** · 04-17-2012, 04:21 PM

I am curious: why the focus on Sanskrit? Is it superior in any way to Tamil, Hebrew, Latin or Greek? In fact 3 of the other languages mentioned have the advantage that they are equally old, still alive and widely spoken.

Please go through this article :

http://www.aaai.org/ojs/index.php/aimagazine/issue/view/54/showToc
AI MAGAZINE Vol 6 No 1 pp 32-39 Spring 1985
Second article is titled :
Knowledge Representation in Sanskrit and Artificial Intelligence
Rick Briggs

I am listing the abstract below for the benefit of a wider audience. Highlighting is mine.
Naina
-----------------------------------------------------------------------------------------
Knowledge Representation in Sanskrit and Artificial Intelligence
Rick Briggs
AI MAGAZINE Vol 6 No 1 pp32-39 Spring 1985

Abstract

In the past twenty years, much time, effort, and money has been expended on designing an unambiguous representation of natural language to make them accessible to computer processing, These efforts have centered around creating schemata designed to parallel logical relations with relations expressed by the syntax and semantics of natural languages, which are clearly cumbersome and ambiguous in their function as vehicles for the transmission of logical data. Understandably, there is a widespread belief that natural languages are unsuitable for the transmission of many ideas that artificial languages can render with great precision and mathematical rigor. But this dichotomy, which has served as a premise underlying much work in the areas of linguistics and artificial intelligence, is a false one. There is at least one language, Sanskrit, which for the duration of almost 1000 years was a living spoken language with a considerable literature of its own. Besides works of literary value, there was along philosophical and grammatical tradition that has continued to exist withundiminished vigor until the present century. Among the accomplishments of the grammarians can be reckoned a method for paraphrasing Sanskrit in a manner that is identical not only in essence but in form with current work in Artificial Intelligence.This article demonstrates that a natural language can serve as an artificial language also, and that much work in AI has been reinventing a wheel millenia old. First, a typical Knowledge Representation Scheme (usingSemantic Nets) will be laid out, followed by an outline of the method used by the ancient Indian grammarians to analyze sentences unambiguously. Finally, the clear parallelism between the two will be demonstrated, and the theoretical implications of this equivalence will be given.

Full Text: PDF

-------------------------------------------------------------------------------------------------------
P.S.: Incidentally, I am not taking any sides here.

04-17-2012, 04:21 PM	#13
MannoFr Join Date Mar 2007 Posts 4,451 Senior Member	I am curious: why the focus on Sanskrit? Is it superior in any way to Tamil, Hebrew, Latin or Greek? In fact 3 of the other languages mentioned have the advantage that they are equally old, still alive and widely spoken. Please go through this article : http://www.aaai.org/ojs/index.php/aimagazine/issue/view/54/showToc AI MAGAZINE Vol 6 No 1 pp 32-39 Spring 1985 Second article is titled : Knowledge Representation in Sanskrit and Artificial Intelligence Rick Briggs I am listing the abstract below for the benefit of a wider audience. Highlighting is mine. Naina ----------------------------------------------------------------------------------------- Knowledge Representation in Sanskrit and Artificial Intelligence Rick Briggs AI MAGAZINE Vol 6 No 1 pp32-39 Spring 1985 Abstract In the past twenty years, much time, effort, and money has been expended on designing an unambiguous representation of *natural language* to make them accessible to computer processing, These efforts have centered around creating schemata designed to parallel logical relations with relations expressed by the syntax and semantics of natural languages, which are clearly cumbersome and ambiguous in their function as vehicles for the transmission of logical data. Understandably, there is a widespread belief that natural languages are unsuitable for the transmission of many ideas that artificial languages can render with great precision and mathematical rigor. But this dichotomy, which has served as a premise underlying much work in the areas of linguistics and artificial intelligence, is a false one. *There is at least one language, Sanskrit, which for the duration of almost 1000 years was a living spoken language with a considerable literature of its own. Besides works of literary value, there was along philosophical and grammatical tradition that has continued to exist withundiminished vigor until the present century*. Among the accomplishments of the grammarians can be reckoned a method for paraphrasing Sanskrit in a manner that is identical not only in essence but in form with current work in Artificial Intelligence.This article demonstrates that a natural language can serve as an artificial language also, and that much work in AI has been reinventing a wheel millenia old. First, a typical Knowledge Representation Scheme (usingSemantic Nets) will be laid out, followed by an outline of the method used by the ancient Indian grammarians to analyze sentences unambiguously. Finally, the clear parallelism between the two will be demonstrated, and the theoretical implications of this equivalence will be given. Full Text: PDF ------------------------------------------------------------------------------------------------------- P.S.: Incidentally, I am not taking any sides here.
	Quote