Commercial in Confidence © 2015 Thinking Solutions Pty Ltd

Intelligent Trn nslationby Meaning

founder/inventor

co-founder

John Ball

Beth Carey

Pedagogies for aPlurilingual Australia

1. Why do we need better translation tools for teaching?

2. What makes machine translation so difficult for a computer?

3. Demonstration of new translation technology

4. What are the possibilities of this technology for learners and teachers, of all languages?

“Learning our first language(s) as a young child is a complex but ‘easy’ process; we acquire our ability to communicate in a

natural way. By the age of 8 most children are able to comprehend the language(s) in common use around them and express

themselves effectively”

Andrew Ferguson, AF Consulting

Image Creative Commons

“The teaching of additional language(s) would ideally replicate many of the conditions that support the acquisition of first

language(s), e.g. communicative imperatives and immersion.

Teaching methodologies are constantly evolving, with an increasing emphasis on purposeful, ‘real-life’ interaction, thus

providing communicative imperatives for students.

Unfortunately, though, many ‘additional’ languages programs are unable to offer solid immersion opportunities, thus students

often miss out on constant and accurate role-modeling of ‘native’ pronunciation and accurate use of languages structures.

The latter is particularly compounded by the inaccuracy of current language translation software, upon which students are

increasingly reliant.”

Andrew Ferguson, AF Consulting

Yehoshua Bar-Hillel (1950s)

“The task of instructing a machine how to translate from one language it does not, and will not understand, into another language it does not, and will not understand, presents a real challenge…”

What makes machine translation so difficult for a computer?

WWII Alan Turing – Enigma code breaker, ‘number crunching’

1956 John McCarthy - Dartmouth Conference birth of ‘Artificial Intelligence’

1958/59 – Yehoshua Bar-Hillel report ‘non feasibility’ of MT

1966 – John Pierce ALPAC report on MT

1980s onwards – statistical analysis

What makes machine translation so difficult for a computer?

Beth Carey

CEOHR speciality managing

technical staff

Teamdevelopment specialist

John Ball

Inventor Patom Theory

Computer Engineer, Program Director and

Cognitive Scientist

System architect

Professor Robert D. Van Valin, Jr.

Inventor Role and Reference Grammar

Theoretical Linguist

Theoretical platform

Dr. Hossein Eslambolchi

Internationally distinguished inventor

and businessman

Ex-AT&T CTO/CIO Technology visionary

Speech Excellence

Beth Carey

CEOHR speciality managing

technical staff

Teamdevelopment specialist

John Ball

Inventor Patom Theory

Computer Engineer, Program Director and

Cognitive Scientist

System architect

Professor Robert D. Van Valin, Jr.

Inventor Role and Reference Grammar

Theoretical Linguist

Theoretical platform

Dr. Hossein Eslambolchi

Internationally distinguished inventor

and businessman

Ex-AT&T CTO/CIO Technology visionary

Speech Excellence

Beth Carey

CEOHR speciality managing

technical staff

Teamdevelopment specialist

John Ball

Inventor Patom Theory

Computer Engineer, Program Director and

Cognitive Scientist

System architect

Professor Robert D. Van Valin, Jr.

Inventor Role and Reference Grammar

Theoretical Linguist

Theoretical platform

Dr. Hossein Eslambolchi

Internationally distinguished inventor

and businessman

Ex-AT&T CTO/CIO Technology visionary

Speech Excellence

John BallProfessor Robert D.

Van Valin, Jr.Dr. Hossein Eslambolchi Beth Carey

Inventor Patom Theory

Computer Engineer, Program Director & Cognitive Scientist

System Architect

Inventor Role and Reference Grammar

Theoretical Linguist

Theoretical Platform

Internationally distinguished Inventor &

Businessman

Ex AT&T CTO / CIOTechnology Visionary

Speech ExcellenceProprietary Restricted Document Feb 2015 Thinking Solutions Pty Ltd

Who is Thinking Solutions

Commercial in Confidence © 2015 Thinking Solutions Pty Ltd

Demonstration Intelligent Translation

by Meaning

How could educators & learners use this technology?

Recognized worldwide in the scientific community as one of the foremost thought

leaders and technological scientists

The primary developer of Role & Reference Grammar joined the scientific advisory board in

2013 after seeing the early technology implement his revolutionary language independent model

• Synergy with the Australian Curriculum

• Accurate Translation-on-demand

• Dynamic Conjugation

• Status of interlocutors catered to

• Visual Grammar

• Systems of Language

References

Recognized worldwide in the scientific community as one of the foremost thought

leaders and technological scientists

The primary developer of Role & Reference Grammar joined the scientific advisory board in

2013 after seeing the early technology implement his revolutionary language independent model

• Word Sense Disambiguation: A Survey Roberto Navigli 2009

• Videos of Understanding, Translation

• Blame Chomsky for non-speaking A.I.

• Speaking Artificial Intelligence, Computerworld Series

• Yehoshua Bar-Hillel quote from 1958

• The Structure of Language, Emma L. Pavey, Cambridge University Press 2010

• The Mind’s New Science, Howard Gardner, Basic Books 1987

• The Science of Natural Language Understanding (NLU)