The "Front-To-Back, Back-To-Front" (FBBF) Core Principle: Working from Known to Unknown (Present to Past).

Instead of trying to infer forward from Ancient Greek (where data is sparse and the starting point is linguistically distant):
1. Anchor in the Present: Start with the most complete and well-understood language (Modern English).
2. Move Systematically Backward: Progress through the attested historical stages of English, then into increasingly distant related language families.
3.Leverage Overlap and Inference: Use the information from the "more known" stage to inform and constrain the "less known" stage.

>FBBF Steps
1. Modern English Dictionary Compilation & Labeling:
>Compile the Modern English dictionary and label each word with its definition(s).

2.First Language Rung Back (e.g., Middle English or Early Modern English if your chain is longer):
>Compile known literature from this rung. Label words based on:
>>Direct Matches: Where a Middle English word has a clear, equivalent Modern English definition.
>>HIL Fitting: This is where human linguistic expertise ensures accuracy for non-exact matches.
>>Set Aside "No Known Definition Fits": These become targets for later inference or indicate genuine linguistic loss/change.

3. Second Language Rung Back (e.g., Old English or Early Germanic if your chain is longer):
>Action: Compile known literature (which will indeed be sparser) and label:
>>Direct Matches to Modern English
>>Inference for Missing Links: If there is a definition in Modern English and 2nd language rung, but not in the 1st language rung, make an inference. This method allows you to "triangulate" missing data points.

4. Repeat Backward Through Language Families:
>Continue this process backward through older language stages. This systematically builds up parallel corpora for each historical transition. Each step backward leverages the now-richer "target" (the knowledge from all more modern stages) to validate the definitions of the older language.