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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.


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Title: Semantic Role Labeling
Written By: Martha Stone Palmer
Daniel Gildea‌
Nianwen Xue
Edited By: Graeme Hirst
URL: http://www.morganclaypool.com/doi/abs/10.2200/S00239ED1V01Y200912HLT006
Series Title: Synthesis Lectures on Human Language Technologies
Description:

This book is aimed at providing an overview of several aspects of semantic
role labeling. Chapter 1 begins with linguistic background on the definition of
semantic roles and the controversies surrounding them. Chapter 2 describes
how the theories have led to structured lexicons such as FrameNet, VerbNet
and the PropBank Frame Files that in turn provide the basis for large scale
semantic annotation of corpora. This data has facilitated the development of
automatic semantic role labeling systems based on supervised machine
learning techniques. Chapter 3 presents the general principles of applying
both supervised and unsupervised machine learning to this task, with a
description of the standard stages and feature choices, as well as giving
details of several specific systems. Recent advances include the use of joint
inference to take advantage of context sensitivities, and attempts to improve
performance by closer integration of the syntactic parsing task with semantic
role labeling. Chapter 3 also discusses the impact the granularity of the
semantic roles has on system performance. Having outlined the basic
approach with respect to English, Chapter 4 goes on to discuss applying the
same techniques to other languages, using Chinese as the primary example.
Although substantial training data is available for Chinese, this is not the
case for many other languages, and techniques for projecting English role
labels onto parallel corpora are also presented.

Table of Contents:
Preface
Semantic Roles
Available Lexical Resources
Machine Learning for Semantic Role Labeling
A Cross-Lingual Perspective
Summary

Publication Year: 2010
Publisher: Morgan & Claypool Publishers
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
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: Electronic
ISBN-13: 9781598298321
Pages: 103
Prices: U.S. $ 30.00
 
Format: Paperback
ISBN-13: 9781598298314
Pages: 103
Prices: U.S. $ 40.00