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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.


Academic Paper


Title: An Integrated Approach to Chinese Word Segmentation
Author: Guohong Fu
Email: click here to access email
Institution: Heilongjiang University
Linguistic Field: Computational Linguistics
Abstract: This paper presents an integrated approach to Chinese word segmentation. In this work, known word segmentation and unknown word identification are taken as one integrated process instead of two separate tasks. Furthermore, both known and unknown word candidates are scored equally with a hybrid model, in which three types of features are statistically computed and incorporated, including contextual information (viz. modified word bigram models), affinity relations between the components of words (viz. inside and outside word-juncture models), and the internal word-formation power of components in a word (viz. the word-formation patterns). To enhance the precision and avoid the problem of combination explosion in the construction of word candidates, in particular the unknown word candidates, a filter algorithm is used to block some ineligible unknown word candidates. In this way, ambiguities and unknown words can be resolved effectively. The results of our experiment on the Peking University corpus show that the proposed approach outperforms some other methods.
Type: Individual Paper
Status: In Progress


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