NLP Syllabification of Mycenaean Greek

Hi. We all need a ‘use case’ yes? (rhetorical)

Mine reverts to a legacy interest in using Mycenaean Greek or Linear B to write poetic prose. To do this it’s necessary to break Homeric Greek text into CV (consonant/vowel), diphthongs and vowels and somehow extract syllables from the text - a process that NLP calls syllabification.

I’ve pestered a few GPT models with this topic over the past few months and Claude 2 is proving extremely useful but I thought the wider NLP community might offer additional insight.

Here’s the Expanded Linear B syllabary I devised a couple of years ago that Claude is able to interpret and work with:

I’ve used this with the first 25 lines of the Iliad with some good effect in that it scores on my mantra - if it sounds like Homeric Greek then it possibly is.

I’m fairly new to NLP syllabification and while Gen Ai seems happy to have a stab at it I suspect I’m going to need to train a model to get academic grade precision. The only other constraint is that as this is part of my ‘Ai in a Google Sheet’ project the NLP functions will be written in Apps Script.


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So sorry, Eric, but the question is rhetorical.

Not off to a great start really but ho hum it’s done. Thanks

Actually you are off to a pretty good start.

The post did not get flagged.
This did not start and endless and pointless discussion.
While I don’t know Linear B , I now know someone to contact for such.
Learned that Claude 2 is better for such problems, (shh! were on an OpenAI site).

I could go on …

Do I get bonus points for knowing about Rebus principle?

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