1.2 Chapter overviews
Use Table 1 to guide you through this partner playbook.
Table 1: Chapter summary for the partner playbook
Last updated
Use Table 1 to guide you through this partner playbook.
Table 1: Chapter summary for the partner playbook
Last updated
Chapter
Content
Chapter 1 – Introduction
We introduce CLEAR Global, and guide you on how to best use this partner playbook.
Chapter 2 – Overview of language technology
We introduce the basic ideas, concepts, and tools used in this field. This chapter also includes a section with a list of the most common terminology so you don’t get lost in jargons and acronyms like NLP, ASR, STT and so on.
Chapter 3 – Opportunities for partners
We look at real-life examples that show how language technology can solve practical problems. The focus here is on reaching marginalized communities using languages that don't have a lot of resources
Chapter 4 – Finding use cases that will have an impact
We explain how to find and understand situations where language technology can make an impact. We'll help you decide if an idea is realistic, and look at the results you can expect.
Chapter 5 –Communication and working together
We look at understanding local community issues, working with partners or local communities to solve problems, and sharing the impact of the projects with these communities. In Chapter 5, we'll also show you ways to collect, organize, and manage the data you need. This is especially relevant for languages that may not have a lot of information available. Good data is very important for language technology to work well.
Chapter 6 – Implementing language technology
This chapter is aimed at a more technical audience to help them design and develop language technology solutions. We present a high-level workflow to navigate the language technology landscape. We show them how to decide whether their language is suitably prepared and evaluate their solution in real life.
Chapter 7 – Guidelines for development and deployment
We present practical knowledge on making use of solutions, with a focus on chatbots and machine translation. This chapter, aimed at a technical audience, dives into building data, training models, deployment, and continuous evaluation for impact.