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This table maps the grammemes for individual word forms (*not* for
lemmata in either corpus!) to the corresponding grammemes from the
other dataset.
These have drastically different shapes, so the mapping is not
perfect, but will help in determining which forms are intended to be
the same on both sides.
Change-Id: Ib0717e2f7a79d96bcb5e955a20f551e391fcd759
Reviewed-on: https://cl.tvl.fyi/c/depot/+/7918
Reviewed-by: tazjin <tazjin@tvl.su>
Tested-by: BuildkiteCI
Autosubmit: tazjin <tazjin@tvl.su>
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The original dataset contains translations into different languages,
but only the English ones are imported here.
Note that translations are for lemmata only.
Change-Id: Ifb9c32c25fda44c38ad899efca9d205c520c0fa3
Reviewed-on: https://cl.tvl.fyi/c/depot/+/7895
Reviewed-by: tazjin <tazjin@tvl.su>
Tested-by: BuildkiteCI
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This is the full morphological set table for all the words from the
lemmata table, which they don't call it that.
Change-Id: I6f5be673c5f59f11e36bd8c8c935844a7d4fd170
Reviewed-on: https://cl.tvl.fyi/c/depot/+/7894
Tested-by: BuildkiteCI
Reviewed-by: tazjin <tazjin@tvl.su>
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This is actually the lemmata table of this corpus, not the forms of
all words (they're in a separate table).
Change-Id: I89a2c2817ccce840f47406fa2a636f4ed3f49154
Reviewed-on: https://cl.tvl.fyi/c/depot/+/7893
Reviewed-by: tazjin <tazjin@tvl.su>
Tested-by: BuildkiteCI
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This is the second dataset I want to integrate as it contains some
more practically useful, but somewhat less structured, information.
Change-Id: Ib46b2597a33e76f59e030f889a0961ecc5a144eb
Reviewed-on: https://cl.tvl.fyi/c/depot/+/7873
Tested-by: BuildkiteCI
Autosubmit: tazjin <tazjin@tvl.su>
Reviewed-by: tazjin <tazjin@tvl.su>
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I'm changing strategies to importing both OC and another dataset
before continuing to normalise the data, as it might be easier to do
in a set of table-constructing queries inside of SQLite with all raw
data in place.
Change-Id: I26b41af80586fc1bfd8e26a6be20579068a82507
Reviewed-on: https://cl.tvl.fyi/c/depot/+/7872
Autosubmit: tazjin <tazjin@tvl.su>
Reviewed-by: tazjin <tazjin@tvl.su>
Tested-by: BuildkiteCI
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Change-Id: I61ad021c7a5318b099f3adc8bc6aedef65500974
Reviewed-on: https://cl.tvl.fyi/c/depot/+/7865
Tested-by: BuildkiteCI
Reviewed-by: tazjin <tazjin@tvl.su>
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Otherwise up to 1000 elements might be missing.
Change-Id: I20d6238424eec27f0e758e7737c9c31bcb81b23d
Reviewed-on: https://cl.tvl.fyi/c/depot/+/7862
Tested-by: BuildkiteCI
Reviewed-by: tazjin <tazjin@tvl.su>
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This is an initial and kind of dumb table structure, but there's some
massaging that needs to be done before this makes more sense.
Change-Id: I441288b684ef86be507099bcc4ebf984598789c8
Reviewed-on: https://cl.tvl.fyi/c/depot/+/7861
Reviewed-by: tazjin <tazjin@tvl.su>
Tested-by: BuildkiteCI
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Change-Id: I1e4efcfc8e555f61578b563411d5e6ed9590d8e8
Reviewed-on: https://cl.tvl.fyi/c/depot/+/7860
Reviewed-by: tazjin <tazjin@tvl.su>
Tested-by: BuildkiteCI
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Adds the beginning of a tool which can import OpenCorpora data into a
SQLite database. This is quite a lot of toil and there's probably a
better way to do this, but overall becoming this intimately familiar
with the data structures is quite helpful for understanding what I
can/can't do with only this dataset.
Change-Id: Ieab33a8ce07ea4ac87917b9c8132226bbc6523b1
Reviewed-on: https://cl.tvl.fyi/c/depot/+/7859
Reviewed-by: tazjin <tazjin@tvl.su>
Tested-by: BuildkiteCI
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