Understanding language on iOS
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This document discusses adding natural language understanding capabilities to mobile apps. It covers concepts like intent detection, entity extraction, and context. It also provides an overview of tools that can be used to build conversational interfaces like Dialogflow for intent training and testing, Wit.ai, Core ML, and TF-IDF algorithms. Challenges with multi-language support, offline vs online capabilities, imperfect understanding, user adoption, and whether to add voice to apps are also discussed.
Understanding language on iOS
- 1. UNDERSTANDING LANGUAGE ON IOS Martin Mitrevski 1
- 2. ABOUT ME ➤ iOS at Netcetera ➤ Blogging on martinmitrevski.com ➤ Book Author - “Developing Conversational Interfaces for iOS” ➤ @mitrevski 2
- 4. Language, why so complex? PunctuationAmbiguity Figurative speech Context ImplicationsUncertainty 4
- 5. NATURAL LANGUAGE UNDERSTANDING CONCEPTS I would like to have a cup of tea. Intent Entity Please make it without sugar. Context 5
- 6. ADDING VOICE TO YOUR APP 6 training an agent with domain knowledge provide an interface to the agent from a mobile app speech recognition on the mobile device of the user intent detection and entities extraction (REST or local) executing the user’s request
- 7. What can you use? easy hard flexible !flexi ble 7
- 8. SIRIKIT 8
- 12. DEMO 12
- 13. WIT.AI 13
- 14. CORE ML 14
- 15. TF-IDF ALGORITHM Term in document Term in other documents Term frequency * inverse document frequency Importance of word 15
- 16. SENTIMENT ANALYSIS - MOVIE REVIEWS 16
- 17. DO IT YOURSELF - LINGUISTIC TAGGER sentences words part of speech paragraphs lemma lexical class language 17
- 18. DO IT YOURSELF - KEYWORDS EXTRACTION 18
- 19. CHALLENGES ➤ Multi-language support ➤ Offline vs. Online ➤ It will never be perfect ➤ User adoption ➤ Will you add voice to your apps? 19
- 20. THANK YOU! ➤ Questions? ➤ martinmitrevski.com ➤ @mitrevski 20