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c-atf-feature-extractor's Issues

Determinative problem

Some determinatives have quirks like {d}en, this should have been conceived as {d}-en, currently i have no reason to why this occurs, because bracket separator methods should have been handling it.

Word division

Words and determinatives are handled at a line level. Whereas some words are most probably dispersed to multiple lines. Use the algorithm that i've described for oracc.

Outlier Text Checker

Before closing the 0.1 beta milestone include an outlier text checker, to make sure that the text that would be treated falls within the perimeters of a reasonable text.

Nested parts

@column 2
1.
2.

Are not handled well. They are going to be probably flattened to something like:
@surface a - @column 1
1.
2.
@surface a - @column 2
etc.
Flattening was a bad idea, because it risks of loosing potentially useful information for later on. I'll add "isPartOf", and "relationType" keys to dictionaries and use a controlled vocabulary for values.
Some of the values are:
text_part
part_part
part_AL_Oc

Mark Sign and Words

Signs and words that belong to Another Language Occurrence or determinative is not marked in the sign and word dictionaries.

Known Issues

The Extractor is in its alpha stage DO NOT attempt to use it for scholarly work. The closing of this issue would mark the beta stage. It is by then that you can attempt to use it for scholarly work.

Sign Divisions

  • Very rarely in achaemenid royal inscriptions some complex signs, like ANSZE are dispersed into multiple lines. If they are presented as a specified compound sign, something like ANSZE(|AN.\newline SZE|). This is most likely an outlier for other languages. Thus doesn't fall into the scope of 0.1b

Write tests

Tests will cover the following classes:
cAtfLineGetter
cAtfLineDictBuilder
cAtfALHandler
cAtfWordDictBuilder
cAtfSignDictBuilder
cAtfTextBuilder

I probably won't write tests for tester classes, like cAtfLineTester, etc.

Currently, at the cAtfTextBuilder.

No support for lexical texts

If someone sees any documentation on how lexical texts are implemented, feel free to modify the code base as you see fit. If you don't want to deal with the implementation, at least post it here so that i can take a look at it myself.

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