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CS626-449: NLP, Speech and Web-Topics-in-AI

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CS626-449: NLP, Speech and Web-Topics-in-AI Pushpak Bhattacharyya CSE Dept., IIT Bombay Lecture 35: Semantic Relations; UNL; Towards Dependency Parsing – PowerPoint PPT presentation

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Title: CS626-449: NLP, Speech and Web-Topics-in-AI


1
CS626-449 NLP, Speech and Web-Topics-in-AI
  • Pushpak BhattacharyyaCSE Dept., IIT Bombay
  • Lecture 35 Semantic Relations UNL Towards
    Dependency Parsing

2
Web at a glance
  • Google indexes more than 8 billion pages
  • Dominated by English
  • Large part of world is deprived of this knowledge

3
Search Engines Today
  • Keyword based
  • Irrelevant results
  • Meaning not taken into account
  • Language specific
  • No search possible across language
  • No translation possible

4
Future of the World Wide Web
User
User
Translation interface
Translation interface
WWW
User
User
5
Features
  • Meaning based
  • More relevant results
  • Multilingual
  • Query in English
  • Fetch document in Hindi
  • Show it in English

6
Machine Translation
  • Translate from one language to other
  • Two approaches
  • Direct
  • One step
  • Using Intermediate language
  • Two step

7
Interlingua
  • Interlingua
  • Intermediate language for machine translation
  • Step one
  • Convert from source language text to interlingua
  • Step two
  • Produce target langauge text from interlingua
  • UNL an interlingua in UNL system

8
Internet for the Masses
English interface
Spanish interface
Internet
Spanishviewer
English viewer
Hindi interface
Hindi viewer
9
A Semantic Graph
The student bought a new computer in June.
10
UNL representation
Representation of Knowledge
Ram is reading the newspaper
11
Knowledge Representation
UNL Graph - relations
read
agt
obj
Ram
newspaper
12
Knowledge Representation
UNL Graph - UWs
read(iclgtinterpret)
obj
agt
newspaper(iclgtprint_media)
Ram(iofgtperson)
13
Knowledge Representation
UNL graph - attributes
_at_entry _at_present _at_progress
read(iclgtinterpret)
obj
agt
_at_def
newspaper(iclgtprint_media)
Ram(iofgtperson)
Ram is reading the newspaper
14
The boy who works here went to school
Another Example
15
UNL System
16
The World-wide Universal Networking Language
(UNL) Project
Marathi
English
Russian
UNL
Spanish
Japanese
Hindi
  • Language independent meaning representation.

17
The UNL System An Overview
18
Universal Networking Language
  • Universal Words (UWs)
  • Relations
  • Attributes
  • Knowledge Base

19
UNL Graph
He forwarded the mail to the minister.
20
UNL Expression
  • agt (forward(iclgtsend)._at_ entry _at_ past,
    he(iclgtperson))
  • obj (forward(iclgtsend)._at_ entry _at_ past,
    minister(iclgtperson))
  • gol (forward(iclgtsend )._at_ entry _at_ past,
    mail(iclgtcollection). _at_def)
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