Implement Aline algorithm for phonetic similarity

[StephanAkkerman]

1. Description:

   • Problem: This is an idea for improve the speed of the word2mnemonic pipeline (and hopefully accuracy). It is also the method the Transphoner paper used. The paper can be found here: https://journal.r-project.org/archive/2017/RJ-2017-005/RJ-2017-005.pdf I have tried to implement this at the beginning of this project but had given up, maybe now with chatgpt I will be able to.

   • Solution: Look into already existing methods such as: https://www.nltk.org/api/nltk.metrics.aline.html

2. Tasks:

   • Look into existing Python solutions
   • Otherwise try implementing ourselves (hard)

3. Additional context Add any other context or screenshots about the feature request here.

[StephanAkkerman]

Look into other projects with phonetic algorithms such as:

• https://github.com/chrislit/abydos
• https://github.com/jamesturk/jellyfish
• https://github.com/Lilykos/pyphonetics
• https://www.reddit.com/r/LanguageTechnology/comments/5u7lui/hey_guys_i_made_a_library_for_phonetic_algorithms/

[StephanAkkerman]

Could also look into newer methods, as long as they work for the IPA we are using https://stevemorse.org/phonetics/bmpm2.htm

[StephanAkkerman]

Interesting overview op different phonetic alphabets: https://github.com/wassname/Phonetic_english/tree/master/examples/TheChaos

[StephanAkkerman]

This seems like an interesting project too, with useful functions: https://github.com/MiniXC/phones