The Prolex Data Base: Toponyms and Gentiles for NLP
AbstractLexical parsing is the whole set of techniques to increase from a raw text to a sequence of tagged words ; these tags are morphological and grammatical information. Lexical parsing generally uses an electronic dictionary. But a few of them accommodate themselves to proper nouns that are a problem for lexical parsing. The French Prolex consists in creating a "tool box" with a relational electronic dictionary of proper nouns and systems of proper noun derivative identification (with the help of rules, local grammars, etc.). We present here our data base of toponyms (place names) and gentiles (inhabitant names), with their links. We justify our choice of a data base and we briefly describe the associated environment ; then we deal about the specificity of foreign terms and we present the integration of the data of France and the data of the rest of the world.
Download InfoTo our knowledge, this item is not available for download. To find whether it is available, there are three options:
1. Check below under "Related research" whether another version of this item is available online.
2. Check on the provider's web page whether it is in fact available.
3. Perform a search for a similarly titled item that would be available.
Bibliographic InfoPaper provided by UniversitÃ© PanthÃ©on-Sorbonne (Paris 1) in its series Papiers d'Economie MathÃ©matique et Applications with number 98.65.
Length: 9 pages
Date of creation: 1998
Date of revision:
Contact details of provider:
Postal: France; Universite de Paris I - Pantheon- Sorbonne, 12 Place de Pantheon-75005 Paris, France
Phone: + 33 44 07 81 00
Fax: + 33 1 44 07 83 01
Web page: http://cermsem.univ-paris1.fr/
More information through EDIRC
LINGUISTICS ; COMMUNICATION ; ECONOMETRICS;
Find related papers by JEL classification:
- C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
- C80 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - General
You can help add them by filling out this form.
reading list or among the top items on IDEAS.Access and download statisticsgeneral information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Thomas Krichel).
If references are entirely missing, you can add them using this form.