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OpenSSF Education SIG
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Vote on Natural Language Localisation Implementation #38

Closed Salkimmich closed 1 year ago

Salkimmich commented 1 year ago

We've agreed to move Section 1.5 Language Localisation to Section 2.5 - but we should have a vote on how to implement it.

From my read, Section 1.5 was written with the intent to provide a dedicated language localiser for the top natural languages. I'd recommend we use an open source glossary ie: https://github.com/cncf/glossary/blob/main/LOCALIZATION.md

For this issue, can we decide on an optimal path forward between:

  1. Hire localisation expert for each top natural language - might not be efficient but will have full coverage
  2. Implement OS Glossary for cybersecurity terminology - will not have full coverage
  3. Implement both localisers and an OS glossary - the best of both worlds approach?

Stream 1 Section 1.5 https://github.com/ossf/education/blob/4c94958e898f8f99bf5cde47d1ac927c08585272/plan/1.0%20Collect%20and%20Curate%20Content.md#

Stream 2 Section 2.4 https://github.com/ossf/education/blob/4c94958e898f8f99bf5cde47d1ac927c08585272/plan/2.0%20Expand%20Training.md

thiswayman commented 1 year ago

Voting 2 as it seems to be a better iterative first step to reach 3.

TheFoxAtWork commented 1 year ago

3️⃣ - we can start with 2 and go from there, but three seems like the right end goal

blabla1337 commented 1 year ago

Voting 2 - and revise in year 2

ran-dall commented 1 year ago

Voting 2 as well

judyobrienie commented 1 year ago

2 looks like the more viable option to get started and once gaps/needs are identified can move to 3

danjconn commented 1 year ago

Voting 2

Salkimmich commented 1 year ago

Aim 2 it is: building an OS glossary, with an aim to bring on localizing translators in a Y2