First, automated summarization is indeed a task in computational linguistics, although I suspect (I'm not really close to that particular field) that they employ some neural networks now and no longer a rule-based system as sketched in the question.
The sketch in the question also touches another important task in computational linguistics and natural ...
The ideal answer for this question is: A corpus stays relevant forever once it is introduced into scientific study. There are now repositories for language data that are aiming to keep corpora available for a long time.
For a more practical point of view, large research funding organisations (like DFG in Germany) demand keeping research data available for at ...
Sound changes are not generally reversible and so it is, in general, impossible to produce a single unique cognate
As an example, in Old English, i-mutation causes /e/ to merge into /i/ when followed by an /i/ that is earlier eCi iCi > iCi. As many final -i were lost, many i in final syllables could derive from an earlier e or an earlier i and so we would ...
Phonetisaurus can do that:
There is a strict 1-1 correspondence between the 2 rows:
c l o s e <eps>
K L OW1 Z _ <eps>
q u o t e <eps>
K W OW1 T _ <eps>
model = phonetisaurus.Phonetisaurus ("../../train/model.fst")
results = ...