sillsdev / sillsdev/silnlp

Major KBT's: add support for additional languages

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enhancement pipeline 3: preprocess
Dominant language
Python
Stars
39
Forks
7
Avg merge
1d 9h
Merged PRs (30d)
5

Description

SILNLP includes glosses for Major KBT's in four languages (English, Spanish, French, and Indonesian) and allows vernacular glosses to be added to the training data during preprocessing if the source language is one of these 4 LWC's.

Paratext 9 also offers Major KBT's in 3 additional languages - Portuguese, Simplified Han, and Traditional Han.

This enhancement request is for adding support for these 3 additional languages to the SILNLP KBT processing.

Contributor guide

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First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start by locating the SILNLP KBT processing and preprocessing entry points that handle Major KBT glosses and source-language checks. Trace how the existing English, Spanish, French, and Indonesian support is represented, then confirm that Portuguese, Simplified Han, and Traditional Han are accepted and their glosses can be added to training data.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
machine-learning
Issue type
Feature
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
38/100

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