This PyQt5 project is a beta version of readability editor for the Tibetan language.

The readability editor assesses the readability of a text by highlighting words according to their level of difficulty. Levels of frequency are defined by analysing the frequency of words in a given language.

The beta version allows users to:

1. write or paste text in the editor
2. segment and highlight the text by clicking on the segment icon

To test the tool, paste the text from test_source.txt in the editor and click the segmentation icon. The result should look like this:

Features comming soon:

• spell-checking
• rules and vocab list editing for segmentation/POS tagging/spell-checking
• suggestion of spelling correction
• suggestion of vocabulary alternative

• Version 0.91 (2017/1/15)

  • Merge the pull request (drupchen/cleanup)
  • Clean the folders

• Version: 0.9 (2017/1/14)

  • Fix Issue 4, the editor will highlight the word object now.

• Version: 0.8 (2017/1/2)

  • Merge the fork https://github.com/Esukhia/TibEdit/tree/add-support-for-affixed-POS ,the main change is to use the Tokenization (formerly segmentation) and ProcessingPipeline to handle with segmentation and words tagging.
  • Details:
    • RDRPOSTagger4Local.py works even with current install of RDR (modified paths)
    • create an entry point to RDR that does not care about paths (it is the copy of what I had for my clean install of RDR)
    • adds mechanism to choose what language and what model to use
    • ensures to only initialize the tagger when WordManager is instanciated or when we change model
    • adds mechanism to add tags directly to words (list of Word objects), but also includes a classic mode (the one used now)
    • filters which Word obj should be tagged and keeps an index to reinsert tags in the corresponding obj
    • implements better RDR models for Tibetan
    • improves pytib results by removing unnecessary lexical resources
    • solves bug of disapearing punctuation (obj.content = \n + punctation)
    • solves once and for all the problem of / in the original string by internally using a rune unicode character as separator. (the users still see /)
    • prepares pytib for coming new post-tagging processing of words
    • segmentation and re-segmentation works
    • include two files (try_pytib.py, try-new-RDR-api.py) to test the new features
    • added spaces around non-tib punctuation is solved
    • revert _ to spaces before displaying in the editor.

• Version: 0.71 (2017/12/13)

  • Fix the error occurs when adding new sentences at the end of the article after segmenting
  • Fix the error occurs when segmenting a new blank line

• Version: 0.7 (2017.11.29)

  • Changed the processing logic from "based on words" to "based on blocks" which speeds up the performance.

• Version: 0.6 (2017.10.26)

  • Add a new feature "Customed words level list and rules"
  • Add a new feature "Profiles managements"
  • Refactor codes to be more object-oriented
  • Make some adjustments in UI

• Version: 0.5 (2017.10.14)

  • Fix "change-tag dropdown appears in the wrong position after resizing the window"
  • Fix "find & replace triggers change-tag dropdown wrongly"
  • Fix "editor somtimes doesn't save the change in real-time editing"

• Version: 0.4 (2017.10.02)

  • Add Find & Replace function
  • Add real-time detecting when editing
  • Change the tag dropdown to fixed mode
  • Fix the highlight bug which leads to bad performance

• Version: 0.3

  • Tagging by clicking on the part of speech
  • Fix the highlight problems in tagging and re-segment
  • Add warning when switching modes from plain text to other

• Version: 0.2

  • POS Tagging
  • Level List Color Selection
  • Words Counting
  • Highlighter Optimized
  • Optional Display by Spaces or Tags