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Future Prospects of Natural Language Processing Technologies

Explore the evolution and commercial impact of NLP technologies. Understand the current landscape, future predictions, and key players in the industry. Learn about speech processing, translation quality enhancement, and dialog systems advancement.

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Future Prospects of Natural Language Processing Technologies

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  1. Natural Language Processing Frank Bergman Mike Gallagher Jason Firestone Barcelona, October 19th, 2001

  2. Stacked Layers of Language Person A Person B „Thoughts“ „Thoughts“ Pragmatics Pragmatics Semantics Semantics Syntax Syntax Speech Speech

  3. VoiceRecognition SyntaxParsing SemanticAnalysis Translation/ Processing Generation VoiceGeneration SAM, AT&T Synthesizer Philips Genie IBM Via Voice BabelFish, Systran, other translators Ramona Verbmobil, Train Information Systems Infrastructure

  4. Verbmobil: Speech2Speech Translation

  5. Verbmobil Video http://verbmobil.dfki.de/overview-us.html

  6. Speech: Audio signals „I am hungry“ Person A Person B „Thoughts“ „Thoughts“ Pragmatics Pragmatics Semantics Semantics “I am hungry” Syntax Syntax Speech Speech Audio Signals

  7. text=„I am hungry“ type=noun_phrase; verb= text=„am“ type=verb; time=pres; pers=1st; infinitive=„be“; subject = adverb = text=„I“ type=pronoun;case=nom; pers=1st; text=„hungry“ type=adjective;case=nom; pers=1st; Syntax: Sentence structure Person A Person B „Thoughts“ „Thoughts“ Pragmatics Pragmatics Semantics Semantics Syntax Syntax Speech Speech Grammar Formalisms: DCG, HPSG, …

  8. Semantics: „Meaning“ and Logics Person A Person B „Thoughts“ „Thoughts“ Pragmatics Pragmatics Semantics Semantics x.self(x)  hungry(x) Syntax Syntax Speech Speech Logic Formalisms: FOL, Lambda Calculus, …

  9. Person instance I has_value has_property has_part State desire Body eat full instance Body Food has_property empty State has_value Pragmatics: The „world“ around us Person A Person B „Thoughts“ „Thoughts“ Pragmatics Pragmatics Semantics Semantics Syntax Syntax Speech Speech Frames, Semantic Networks, Description Logics, …

  10. „Thoughts“: What we „feel“ „I am hungry“ Person A Person B „Thoughts“ „Thoughts“ Pragmatics Pragmatics Semantics Semantics Syntax Syntax Speech Speech

  11. Markets SpeechInput AutomaticTranslation DialogSystems • Players • Philips • IBM • Lernout & Hauspie • AT&T • Market Conditions • High entrance barriers • Low margin products

  12. Commercial Impact • The generated value is very low • The technology doesn‘t work yet

  13. The Future • Current: • Low margin add-on to operating systems • Automatic translations have bad quality • Next 5 Years: • Low margin add-on for mobile devices • Translation quality will slightly enhance • Dialog systems becoming more common • Next 20 Years: • Speech processing will become ubiquous in public life, but no „real intelligence“ • Translation quality will slightly enhance

  14. Links • Verbmobil: http://verbmobil.dfki.de/ • AT&T Demo: http://www.naturalvoices.att.com/demos/ • Philips Speech Processing: http://www.philipsspeechprocessing.com/ • Babelfish http://www.babelfish.com/ • Lernout & Hauspie http://www.lhsl.com/ • Ray Kurzweil AI Net: http://www.kurzweilai.net/ • ALICE: http://www.alicebot.org

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