Language meets Knowledgein digital content management

Tatiana Gornostay

In outline…

• Terminology• Language ≈ Linguistics• Knowledge ≈ Semantics• Language Technology ≈ Natural Language Processing• Machine Translation ≈ Automated Translation• Terminology ≈ Specialised Lexicon vs. General Lexicon

• Assumption• Language OR Knowledge will not work• Academia OR Public OR Business will not work• Our future is in AND = cooperation• Our future is in our users

Language ><Knowledge

• Terminology• A typical example of “theory” competition

• Traditionally oriented on Public and Translation

• Businesses suffered and are still suffering

There is no direct connection between language and reality, between linguistic units and things. (Eugen Wüster, 1968)

‘tree’

Language ><Knowledge

• Machine Translation• Language-based approach “dethroned” by Mathematics

• great progress

• Knowledge-based approach developed autonomously• the time has come for changes and the most promising can be found

on the edge

Embracing innovations

Terminology examplebased on Tilde experience

TerminologyResource

TerminologyServer

TerminologyService

Machine Translation examplebased on Tilde experience

Linguistics-based

Statistics-based

Hybrid waiting for Semantics

Desktop application

Translation server

Custom service

Language <> Knowledge

• Terminology and Machine Translation• We are ready

• Scalability, Availability, Intelligence

• We can help Semantics• Multilinguality

• Disambiguation

• Semantics can help us• Improve quality of NLP output

• Form single digital content space – applications beyond translations can benefit from rich structured data

• We can evolve and benefit in this rapidly changing world• Consistency, quality, efficiency

Danke