Archive for October, 2009

“Event Structure and the Encoding of Arguments”

October 30, 2009

As the result of sixty years of trying to define the right theory of syntax, scientific understanding of language had reached the level where practical applications are becoming possible.

One of the remaining obstacles to effective computerization of syntactic theory is the fact that the relevant literature is not easily accessible to computer scientists.

One important exception is the MIT PhD thesis “Event structure and the encoding of arguments : the syntax of the Mandarin and English verb phrase” by Jimmy Lin, written under joint supervision of leading linguistic theorists and leading computer scientists – something that, it seems, never happened before or after.

http://dspace.mit.edu/bitstream/handle/1721.1/28710/59551807.pdf

This  dissertation is a unique source that may give some understanding of the present-day syntactic theory without presupposing reader’s familiarity with ongoing linguistic research and special terminology.

21 Semantic Roles for Linguistic Web

October 28, 2009

Following is the preliminary list of Semantic Roles (known in linguistics as “thematic roles”) for use  in Linguistic Web.  The Roles are part of  the intermediate protocol making it possible for linguistic processing services to present the results in simple and unified form.

(1)  AGENT

(2)  DIRECTOR

(3)  CAUSE

(4)  THEME

(5)  PATIENT

(6)  EXPERIENCER

(7)  BENEFACTIVE

(8)  MALEFACTIVE

(9)   GOAL

(10)  SOURCE

(11)  LOCATION

(12)  PATH

(13)  MANNER

(14)  INSTRUMENT

(15)  RECIPIENT

(16)  MEASURE

(17)  RESULT

(18)  PURPOSE

(19)  TIME

(20) TARGET

(21)  SUBJECT MATTER

 

 

 

Linguistic Technology Going 2.0.

October 27, 2009

Linguistic Web envisions high resolution linguistic intelligence tools freely accessible to the developers of natural language applications, opening possibility for  easy collaboration between providers of linguistic analysis software and developers of natural language applications.

Companies like Powerset and Cognition Technologies already have solid, scientifically-based software for linguistic analysis, a fruit of long years of research.  Of course, application developers do not presently have free access to anything like these proprietary solutions.  Nevertheless, the very existence such advanced systems proves that it could be done.