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3241 results in Artificial Intelligence and Natural Language Processing

Page 32 of 163

Hey Cyba
  • The Inner Workings of a Virtual Personal Assistant
  • Steve Young
  • Published online:
    26 March 2021
    Print publication:
    08 April 2021
  • Recent developments in artificial intelligence, especially neural network and deep learning technology, have led to rapidly improving performance in voice assistants such as Siri and Alexa. Over the next few years, capability will continue to improve and become increasingly personalised. Today's voice assistants will evolve into virtual personal assistants firmly embedded within our everyday lives. Told through the view of a fictitious personal assistant called Cyba, this book provides an accessible but detailed overview of how a conversational voice assistant works, especially how it understands spoken language, manages conversations, answers questions and generates responses. Cyba explains through examples and diagrams the neural network technology underlying speech recognition and synthesis, natural language understanding, knowledge representation, conversation management, language translation and chatbot technology. Cyba also explores the implications of this rapidly evolving technology for security, privacy and bias, and gives a glimpse of future developments. Cyba's website can be found at HeyCyba.com.

  • NLE volume 27 issue 2 Cover and Back matter

  • Journal:
    Natural Language Engineering / Volume 27 / Issue 2 / March 2021
    Published online by Cambridge University Press:
    17 March 2021, pp. b1-b2
    • Article
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  • NLE volume 27 issue 2 Cover and Front matter

  • Journal:
    Natural Language Engineering / Volume 27 / Issue 2 / March 2021
    Published online by Cambridge University Press:
    17 March 2021, pp. f1-f2
    • Article
      • You have access
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  • Extracting possessions from text: Experiments and error analysis

  • Dhivya Chinnappa, Eduardo Blanco
  • Journal:
    Natural Language Engineering / Volume 28 / Issue 3 / May 2022
    Published online by Cambridge University Press:
    09 March 2021, pp. 295-316

  • This paper presents a corpus and experiments to mine possession relations from text. Specifically, we target alienable and control possessions and assign temporal anchors indicating when a possession relation holds between the possessor and possessee. We work with intra-sentential possessor and possessees that satisfy lexical and syntactic constraints. We experiment with traditional classifiers and neural networks to automate the task. In addition, we analyze the factors that help to determine possession existence and possession type and common errors made by the best performing classifiers. Experimental results show that determining possession existence relies on the entire sentence, whereas determining possession type primarily relies on the verb, possessor and possessee.

  • A machine translation mechanism of Brazilian Portuguese to Libras with syntactic-semantic adequacy

  • Manuella Aschoff C. B. Lima, Tiago Maritan U. de Araújo, Rostand E. O. Costa, Erickson S. Oliveira
  • Journal:
    Natural Language Engineering / Volume 28 / Issue 3 / May 2022
    Published online by Cambridge University Press:
    01 February 2021, pp. 271-294

  • Deaf people communicate naturally using visual-spatial languages, called sign languages (SL). Although SLs are recognized as a language in many countries, the problems faced by Deaf people for accessing information remain. As a result, they have difficulties exercising their citizenship and access information in SLs, which usually leads to linguistic and knowledge acquisition delays. Some scientific works have been developed to address these problems related to the machine translation of spoken languages to sign languages. However, the existing machine translation platforms have some limitations, especially in syntactic and lexical nature. Thus, this work aims to develop a mechanism for machine translation to Libras, the Brazilian Sign Language, with syntactic-semantic adequacy. It consists of an automatic translation component for Libras based on syntactic-semantic translation rules and a formal syntactic-semantic rule description language. As proof of concept of the proposed approach, we created a specific grammar for Libras translation exploring these aspects and integrating these elements into VLibras Suite, a service for machine translation of digital content in Brazilian Portuguese (BP) to Libras. We performed several tests using this modified version of VLibras to measure the level of comprehension of the output generated by the new translator mechanism. In the computational experiments, as well as in the actual tests with Deaf and hearing users, the proposed approach was able to improve the results of the current VLibras version.

Page 32 of 163