Language AI Playbook
  • 1. Introduction
    • 1.1 How to use the partner playbook
    • 1.2 Chapter overviews
    • 1.3 Acknowledgements
  • 2. Overview of Language Technology
    • 2.1 Definition and uses of language technology
    • 2.2 How language technology helps with communication
    • 2.3 Areas where language technology can be used
    • 2.4 Key terminology and concepts
  • 3. Partner Opportunities
    • 3.1 Enabling Organizations with Language Technology
    • 3.2 Bridging the Technical Gap
    • 3.3 Dealing with language technology providers
  • 4. Identifying Impactful Use Cases
    • 4.1 Setting criteria to help choose the use case
    • 4.2 Conducting A Needs Assessment
    • 4.3 Evaluating What Can Be Done and What Works
  • 5 Communication and working together
    • 5.1 Communicating with Communities
    • 5.2 Communicating and working well with partners
  • 6. Language Technology Implementation
    • 6.1 Navigating the Language Technology Landscape
    • 6.2 Creating a Language-Specific Peculiarities (LSP) Document
    • 6.3 Open source data and models
    • 6.4 Assessing data and model maturity
      • 6.4.1 Assessing NLP Data Maturity
      • 6.4.2 Assessing NLP Model Maturity:
    • 6.5 Key Metrics for Evaluating Language Solutions
  • 7 Development and Deployment Guidelines
    • 7.1 Serving models through an API
    • 7.2 Machine translation
      • 7.2.1 Building your own MT models
      • 7.2.2 Deploying your own scalable Machine Translation API
      • 7.2.3 Evaluation and continuous improvement of machine translation
    • 7.3 Chatbots
      • 7.3.1 Overview of chatbot technologies and RASA framework
      • 7.3.2 Building data for a climate change resilience chatbot
      • 7.3.3 How to obtain multilinguality
      • 7.3.4 Components of a chatbot in deployment
      • 7.3.5 Deploying a RASA chatbot
      • 7.3.6 Channel integrations
        • 7.3.6.1 Facebook Messenger
        • 7.3.6.2 WhatsApp
        • 7.3.6.3 Telegram
      • 7.3.7 How to create effective NLU training data
      • 7.3.8 Evaluation and continuous improvement of chatbots
  • 8 Sources and further bibliography
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  1. 1. Introduction

1.1 How to use the partner playbook

In each section of this playbook, you’ll find new information, steps you can take, and examples. These will guide you toward your goal of finding and building use cases with language technology that will have a real impact. Here are some ways you can use this playbook:

a) Step-by-step learning

Start by reading the initial chapters to get an overview of language technology. Then you can dive into more specific topics that interest you the most. Use the sidebar on the left to select the various chapters and sections. Note that the final chapters are aimed at more technical readers. The earlier ones are intended for those who are developing programs.

b) Practical examples

The playbook is full of real-world examples and case studies. They show how language technology can be used successfully to build chatbots and machine translation solutions. Take the time to study these examples and think about how you could apply similar ideas in your context.

c) Learning together

Feel free to engage with other partners, experts, and our team. Discuss the content, share thoughts and ideas, give feedback, and ask for help where needed. Working with others makes the learning experience richer and makes it easier to overcome challenges.

d) Using the Table of Contents

The Table of Contents for the playbook allows you to switch between sections of the playbook in any order. This makes it easy for you to get the information that is most relevant to your experience. You can move around the different sections using the section headers on the left-hand side of the playbook. These sections also have sub-sections which are extensions of each main section. If you click on the main section, you will see the sub-sections as a drop-down menu. Each main section has a title and a number. These help to organize the playbook and guide users to the information they need.

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Last updated 1 year ago