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Jost Gippert: Our Featured Linguist!

"Buenos dias", "buenas noches" -- this was the first words in a foreign language I heard in my life, as a three-year old boy growing up in developing post-war Western Germany, where the first gastarbeiters had arrived from Spain. Fascinated by the strange sounds, I tried to get to know some more languages, the only opportunity being TV courses of English and French -- there was no foreign language education for pre-teen school children in Germany yet in those days. Read more



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What is English? And Why Should We Care?

By: Tim William Machan

To find some answers Tim Machan explores the language's present and past, and looks ahead to its futures among the one and a half billion people who speak it. His search is fascinating and important, for definitions of English have influenced education and law in many countries and helped shape the identities of those who live in them.


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Medical Writing in Early Modern English

Edited by Irma Taavitsainen and Paivi Pahta

This volume provides a new perspective on the evolution of the special language of medicine, based on the electronic corpus of Early Modern English Medical Texts, containing over two million words of medical writing from 1500 to 1700.


Book Information

   

Title: Named Entities
Subtitle: Recognition, classification and use
Edited By: Satoshi Sekine
Elisabete Ranchhod
URL: http://www.benjamins.com/cgi-bin/t_bookview.cgi?bookid=BCT%2019
Series Title: Benjamins Current Topics 19
Description:

'Named Entities' provides critical information for many NLP applications.
Named Entity recognition and classification (NERC) in text is recognized as
one of the important sub-tasks of Information Extraction (IE). The seven
papers in this volume cover various interesting and informative aspects of
NERC research. Nadeau & Sekine provide an extensive survey of past NERC
technologies, which should be a very useful resource for new researchers in
this field. Smith & Osborne describe a machine learning model which tries
to solve the over-fitting problem. Mazur & Dale tackle a common problem
of NE and conjunction; as conjunctions are often a part of NEs or appear
close to NEs, this is an important practical problem. A further three
papers describe analyses and implementations of NERC for different
languages: Spanish (Galicia-Haro & Gelbukh), Bengali (Ekbal, Naskar &;
Bandyopadhyay), and Serbian (Vitas, Krstev & Maurel). Finally, Steinberger
& Pouliquen report on a real WEB application where multilingual NERC
technology is used to identify occurrences of people, locations and
organizations in newspapers in different languages.

The contributions to this volume were previously published as 'Lingvisticae
Investigationes' 30:1 (2007).

Publication Year: 2009
Publisher: John Benjamins
Review: Not available for review. If you would like to review a book on The LINGUIST List, please login to view the AFR list.
BibTex: View BibTex record
Linguistic Field(s): Computational Linguistics
Sociolinguistics
Subject Language(s): Bengali
Spanish
Serbian
Issue: All announcements sent out by The LINGUIST List are emailed to our subscribers and archived with the Library of Congress.
Click here to see the original emailed issue.

Versions:
Format: Hardback
ISBN-13: 9789027222497
Prices: Europe EURO 90.00
U.S. $ 120.00
 
Format: Electronic
ISBN-13: 9789027289223
Prices: Europe EURO 90.00
U.S. $ 120.00