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Latin: A Linguistic Introduction

By Renato Oniga and Norma Shifano

Applies the principles of contemporary linguistics to the study of Latin and provides clear explanations of grammatical rules alongside diagrams to illustrate complex structures.


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The Ancient Language, and the Dialect of Cornwall, with an Enlarged Glossary of Cornish Provincial Words

By Frederick W.P. Jago

Containing around 3,700 dialect words from both Cornish and English,, this glossary was published in 1882 by Frederick W. P. Jago (1817–92) in an effort to describe and preserve the dialect as it too declined and it is an invaluable record of a disappearing dialect and way of life.


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Linguistic Bibliography for the Year 2013

The Linguistic Bibliography is by far the most comprehensive bibliographic reference work in the field. This volume contains up-to-date and extensive indexes of names, languages, and subjects.


Academic Paper


Title: Building Instance Knowledge Network for Word Sense Disambiguation
Paper URL: http://www.ict.swin.edu.au/personal/shu/acsc2011.pdf
Author: Shangfeng Hu
Email: click here to access email
Author: Chengfei Liu
Email: click here to access email
Institution: Swinburne University of Technology
Author: Xiaohui Zhao
Email: click here to access email
Institution: Eindhoven University of Technology
Author: Marek Kowalkiewicz
Email: click here to access email
Institution: SAP Research
Linguistic Field: Computational Linguistics; Semantics
Subject Language: English
Abstract: In this paper, a new high precision focused WSD approach is proposed, which not only attempts to identify the proper sense for a word but also provides the probabilistic/L/evaluation for the identification confidence at the same time. A novel Instance Knowledge Network (IKN) is built to generate and maintain semantic knowledge at the word, type synonym set and instance levels. Related algorithms based on graph matching are developed to train IKN with probabilistic knowledge and to use IKN for probabilistic word sense disambiguation. Based on the Senseval-3 all-words task, we run extensive experiments to show the performance enhancements in different precision ranges and the rationality of probabilistic based automatic confidence evaluation of disambiguation. We combine our WSD algorithm with five best WSD algorithms in senseval-3 all words tasks. The results show that the combined algorithms all outperform the corresponding/L/algorithms.
Type: Individual Paper
Status: Completed
Venue: 2011 Australasian Computer Science Conference (ACSC 2011)
URL: http://www.ict.swin.edu.au/personal/shu/acsc2011.pdf


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