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Hi to all,
how are you? I hope you started well the new year. :-)
My clean-up work is still going on, but I am starting to see the light.
I have implemented a few functions that helps to make the taggers re-entrant
(although some work is still needed in order to achieve this goal).
In the meanwhile I setup a few experiments, so that I can check that everything
is working properly. I tested et and t3 tagging capabilities.
They are both producing output in the correct format. However t3 tends to
produce less stable results.
In particular I noticed that t3 tends to produce a lot of errors (~100%, very
often the assigned tag was not present in the dataset for each given word) at
the beginning of
some sentences, while it performs well at the end of the sentences (usually the
last 10 tokens seems to provide reasonable results). Shortening the sentences
improve the
situation.
Did you experienced this issue in the past? Do you have any idea why this is
happening (I suspect it is due to probability calculation errors)?
Bests,
Giulio.
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