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Searching in-memory corpus with Corpus Query Language (CQL)

Home Page: https://yongfu.name/concordancer/

Python 72.30% Shell 0.90% JavaScript 0.84% HTML 1.25% Vue 24.71%
python3 corpus-tools concordancer corpus-query-language

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concordancer's Issues

Do you have some idea to use this toolkit with dependency parse flag ?

If you can replace the “keyword” field by “subtree” generate by dependency parse.
And left right in the sense of node distance among nodes.
It seems this will be a toolkit to extract similar Grammatical Features.

Can this be a sentence difficulty lookup table ? Or a grammatical guide for sentence simplification task ?
The former, user more care about most common left right format, and think them as simple sentence to
“understand”, the latter user may map difficult samples to simple ones.

And dependency tree may not be bi-tree (related with left and right)
Can you give a example of this usage ?

This may related with choose or create a “dependency query language” .
Do you have some ideas to design it in chinese ?

Can you add a statistic guide summary to use this toolkit?

It is very useful to extract keywords or spans by your toolkit.
And i think you can add some statistics to use it.
Such as hit ratio of total corpus.
to help users to optimize their corpus query language.
I hope you can give some mechanism to auto generate some cqls with some constraints.

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