Extracting information from S-curves of language change

Extracting information from S-curves of language change

It is well accepted that adoption of innovations are described by S-curves (slow start, accelerating period and slow end). In this paper, we analyse how much information on the dynamics of innovation spreading can be obtained from a quantitative description of S-curves. We focus on the adoption of linguistic innovations for which detailed databases of written texts from the last 200 years allow...

FASTUS: Extracting Information from Natural- Language Texts

FASTUS is a system for extracting information from natural language text for entry into a database and for other applications. It works essentially as a cascaded, nondeterministic finite-state automaton. There are five stages in the operation of FASTUS. In Stage 1, names and other fixed form expressions are recognized. In Stage 2, basic noun groups, verb groups, and prepositions and some other ...

Extracting Phenotypic Information from the Literature via Natural Language Processing

In recent years, the amount of biomedical knowledge has been increasing exponentially. Several Natural Language Processing (NLP) systems have been developed to help researchers extract, encode and organize new information automatically from textual literature or narrative reports. Some of these systems focus on extracting biological entities or molecular interactions while others retrieve and e...

Natural language processing methods for extracting information from mathematical texts

Extracting short distance information from b ! s‘ ‘ effectively

Keith S. M. Lee, Zoltan Ligeti, Iain W. Stewart, and Frank J. Tackmann California Institute of Technology, Pasadena, California 91125, USA Ernest Orlando Lawrence Berkeley National Laboratory, University of California, Berkeley, California 94720, USA Center for Theoretical Physics, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA (Received 21 December 2006; published 2...