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Learning Microsoft Cognitive Services

You're reading from   Learning Microsoft Cognitive Services Leverage Machine Learning APIs to build smart applications

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Product type Paperback
Published in Oct 2017
Publisher Packt
ISBN-13 9781788623025
Length 368 pages
Edition 2nd Edition
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Author (1):
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Leif Larsen Henning Larsen Leif Larsen Henning Larsen
Author Profile Icon Leif Larsen Henning Larsen
Leif Larsen Henning Larsen
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Table of Contents (13) Chapters Close

Preface 1. Getting Started with Microsoft Cognitive Services FREE CHAPTER 2. Analyzing Images to Recognize a Face 3. Analyzing Videos 4. Letting Applications Understand Commands 5. Speaking with Your Application 6. Understanding Text 7. Extending Knowledge Based on Context 8. Querying Structured Data in a Natural Way 9. Adding Specialized Searches 10. Connecting the Pieces 11. LUIS Entities and Additional Information on Linguistic Analysis 12. License Information

Natural Language Processing using the Web Language Model


Using the Web Language Model (Web LM) API, we are able to do natural language processing. The language models are trained on web-scale, using data collected by Bing.

This API offers four key features:

  • Joint probability of a sequence of words
  • Conditional probability of one word following a sequence of words
  • Most likely words to follow a given sequence
  • Word breaking of strings without any spaces

To get started, add a new file, called WebLmView.xaml, to the View folder. In this view, we want to have two TextBox elements, one for our input query and one for the result View. In addition, we want four Button elements. Each of these will trigger one of the API features.

Next, we need to add a new ViewModel. Add a new file, called WebLmViewModel.cs, to the ViewModel folder. Add two string properties, corresponding to the input and output in the View. We also need to add four ICommand objects, which will be triggered when the buttons are pressed.

To...

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