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Language and Intelligence

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Language and Intelligence School of Computer Applications Language Intelligence Language & Intelligence Natural Language Processing (NLP), Machine Translation (MT), Computer Assisted Language Learning (CALL), Speech Artificial Intelligence, World Wide Mind Language Evolution, Semantics, 3D Worlds, Neural Networks, Speech and Multi-Modal Interfaces
Language and Intelligence Staff Postgrad Students Dr D. Fitzpatrick A. Cahill, N. Gough, J. Hayes S. Harford, M. Hearne, Dr M. Humphrys M. Mc Carthy, C. O’Leary, J. Kelleher M. Tooher Dr J. Mc Kenna Prof J. Van Genabith Affiliated Researcher R. Walshe D. O’Connor M. Ward Dr A. Way
Language and Intelligence ,[object Object],[object Object],[object Object],[object Object],[object Object]
Language Research Areas ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],School of Computer Applications
Language Research Areas School of Computer Applications Example Based Machine Translation Given : John went to school Jean est allé à l’école . The butcher’s is next to the baker’s La boucherie est à côté de la boulangerie. Isolate useful fragments: John went to Jean est allé à the baker’s la boulangerie We can now translate: John went to the baker’s as Jean est allé à la boulangerie .
Language Research Areas ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],School of Computer Applications
Language Research Areas ,[object Object],School of Computer Applications Separate Linguistic Data from Speaker Characteristics Machine Translation New Language Bonjour Hello
Language Research Areas ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],School of Computer Applications
Intelligence ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],School of Computer Applications
Intelligence ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],School of Computer Applications
Language and Intelligence ,[object Object],School of Computer Applications World (problem to solve) Client (do some task) Mind Server Mind Mind Mind Uses World Wide Web and cgi-bin/perl for communication State State Action Action Action State State Action
Language and Intelligence ,[object Object],[object Object],School of Computer Applications Map Information Analysis Force Feedback/ (Haptic) Device Purpose: to convey spatial information non-visually i.e. using sensors other than vision
Language and Intelligence ,[object Object],School of Computer Applications World Agent (Speaker, Hearer, Learner) Reinforcement Learning Network (Neural Network) State Action Agent (Speaker, Hearer, Learner) Reinforcement Learning Network (Neural Network) State of the world Action ,[object Object],[object Object],[object Object],Grrraahhh = ??? Go Left Grrraahhh
Language and Intelligence ,[object Object],School of Computer Applications Natural Language Understanding Natural Language Interface Visual Context
Language and Intelligence ,[object Object],School of Computer Applications Linguistic Level Compounding Cognitive Process Concept Combination Computer Wizard Computer Wizard ? + Generate an Interpretation (form a meaning) Interpretation
Language and Intelligence ,[object Object],School of Computer Applications Learning, Feedforward Feedback Processing Neural Networks Input Output

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Language and Intelligence

  • 1. Language and Intelligence School of Computer Applications Language Intelligence Language & Intelligence Natural Language Processing (NLP), Machine Translation (MT), Computer Assisted Language Learning (CALL), Speech Artificial Intelligence, World Wide Mind Language Evolution, Semantics, 3D Worlds, Neural Networks, Speech and Multi-Modal Interfaces
  • 2. Language and Intelligence Staff Postgrad Students Dr D. Fitzpatrick A. Cahill, N. Gough, J. Hayes S. Harford, M. Hearne, Dr M. Humphrys M. Mc Carthy, C. O’Leary, J. Kelleher M. Tooher Dr J. Mc Kenna Prof J. Van Genabith Affiliated Researcher R. Walshe D. O’Connor M. Ward Dr A. Way
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  • 5. Language Research Areas School of Computer Applications Example Based Machine Translation Given : John went to school Jean est allé à l’école . The butcher’s is next to the baker’s La boucherie est à côté de la boulangerie. Isolate useful fragments: John went to Jean est allé à the baker’s la boulangerie We can now translate: John went to the baker’s as Jean est allé à la boulangerie .
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