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License: BSD 3-Clause "New" or "Revised" License
Analyse word frequencies from webVTT subtitles
License: BSD 3-Clause "New" or "Revised" License
There should be a script to evaluate the frequency table on the behavioural data. We expect word frequency to positively correlate with reading comprehension. This can either be tested as a direct correlation, or by using the new frequencies as part of the LINT pipeline. I think the first option is preferable: besides being easier, it also avoids a bias due to to the LINT formula being fitted to an existing frequency table.
Roughly speaking, the data includes 3 types of diacritics:
As for handling these:
My initial suggestion was that this could be handled by lemmatising the word and then cross-referencing with a vocabulary like the ANW. If the word appears in the ANW with an accent, it is is a lexical accent that should be preserved.
However, this only really works if you are also tagging named entities, since those a) do not appear in a dictionary, b) are especially likely to contain accents, and c) should have their accents preserved.
If you do this, it would be best if it is outfactored to a separate service that can also be utilised by t-scan, in order to avoid the discrepancy for emphatic accents.
All in all, this method is not impossible, but probably not worth the effort.
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