1. Multilingual Information Access in a Digital Library
Vamshi Ambati, Rohini U, Pramod, N Balakrishnan and Raj Reddy
International Institute of Information Technology
Hyderabad, India

2. IIIT Hyderabad - http://dli.iiit.ac.in
Context
Digital Library of India
155,000 English books
145,000 Other language books
Population of literates
20% of India understand English
80% can not
IIIT Hyderabad -

3. Multilingual Access to Information
Retrieve a book
By metadata
By keyword / content
Cross Lingual Information Retrieval
Read a book
Help understand sentences in a language
Help understand sentences across languages
Machine Translation
IIIT Hyderabad -

4. Approaches to Multilingual Access
Cross Lingual Retrieval
Translate Query to Document Language
Translate Document to Query Language
Machine Translation
Knowledge Based Approaches
Corpus Based Approaches
Hybrid Approaches
IIIT Hyderabad -

5. Challenges in Multilingual Access
Corpus Based Approaches
Unavailability of Parallel Corpus for pairs of languages
Unavailability of Computational Linguistics Resources
Dictionary Based Approaches
Unavailability of multiple bilingual dictionaries
IIIT Hyderabad -

6. IIIT Hyderabad - http://dli.iiit.ac.in
Resources
Universal Dictionary
Conceived and implemented by Michael Shamos at CMU, USA
ITRANS
A transcription scheme and associated tool built by IISc, IIIT and CMU
Corpus
Data Entry by TTD and DLI project
TIDES project
IIIT Hyderabad -

7. IIIT Hyderabad - http://dli.iiit.ac.in
Universal Dictionary
IIIT Hyderabad -

8. IIIT Hyderabad - http://dli.iiit.ac.in
How are we doing it
Cross Lingual Search (Identify Information)
Dictionary lookup
User feedback based
Lucene Search Engine
Machine Translation (Understand Information)
Corpus based technique (EBMT)
Dictionary based word-word lookup
Good-enough translation vs Perfect translation
IIIT Hyderabad -

9. Cross Lingual Retrieval
IIIT Hyderabad -

10. Cross Lingual Retrieval
IIIT Hyderabad -

11. Reading Assistant System
IIIT Hyderabad -

12. IIIT Hyderabad - http://dli.iiit.ac.in
Reading Assistant
IIIT Hyderabad -

13. IIIT Hyderabad - http://dli.iiit.ac.in
Status Today
CLIR for 6 languages
MT for 3 languages
Shakti (a knowledge based MT system)
Parallel Corpus for Hindi-Eng
UDICT
About 40 Foreign Languages
6 Indian Languages
IIIT Hyderabad -

14. IIIT Hyderabad - http://dli.iiit.ac.in
What more is needed?
UDICT
Improving coverage of existing languages
Adding new languages
Machine Translation
Corpus acquisition
State of art techniques applied to Indian Languages
Multi-way parallel corpus development
Textual format for the books
Books currently are in Image formats
OCR should be developed for textual content
IIIT Hyderabad -

15. Thank You
Questions ?