Skip to main content Accessibility help
×
Hostname: page-component-848d4c4894-4hhp2 Total loading time: 0 Render date: 2024-06-06T02:13:12.384Z Has data issue: false hasContentIssue false

6 - Issues in the Design of a Language for Representing Linguistic Information Based on Inheritance and Feature Structures

Published online by Cambridge University Press:  01 April 2010

Get access

Summary

Abstract

In this chapter, we address some issues in the design of declarative languages based on the notion of inheritance. First, we outline the connections and similarities between the notions of object, frame, conceptual graph and feature structures and we present a synthetic view of these notions. We then present the Typed Feature Structure (TFS) language developed at the University of Stuttgart, which reconciles the object-oriented approach with logic programming. We finally discuss some language design issues.

Convergences

Developing large NLP software is a very complex and time consuming task. The complexity of NLP can be characterized by the following two main factors:

  1. NLP is data-intensive. Any NLP application needs large amounts of complex linguistic information. For example, a realistic application has typically dictionaries with tens of thousands of lexical entries.

  2. Sophisticated NLP applications such as database interfaces or machine translation build very complex and intricate data structures for representing linguistic objects associated to strings of words. Part of the complexity also lies in the processing of such objects.

Object-oriented Approaches

An object-oriented approach to linguistic description addresses these two sources of complexity by providing:

  1. facilities to manage the design process: data abstraction and inheritance.

  2. facilities for capturing directly the interconnections and constraints in the data: properties, relations and complex objects. These features are common to object-oriented languages (OOL), objectoriented database management systems (OODBMS) or knowledge representation languages (KRL).

Type
Chapter
Information
Publisher: Cambridge University Press
Print publication year: 1994

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Save book to Kindle

To save this book to your Kindle, first ensure coreplatform@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

Available formats
×