Metadata-Version: 2.1
Name: mwe-query
Version: 0.0.3b1
Summary: UNKNOWN
Home-page: https://github.com/UUDigitalHumanitieslab/mwe-query
Author: Martin Kroon / Digital Humanities Lab, Utrecht University
Author-email: digitalhumanities@uu.nl
License: CC BY-NC-SA 4.0
Platform: UNKNOWN
Requires-Python: >=3.7, <4
Description-Content-Type: text/markdown
License-File: LICENSE.md

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# MWE Query

## Run Locally

This will ask for the (local) BaseX-database to query.

```bash
pip install -r requirements.txt
python -m mwe_query
```

## Use as Library

### Create Queries

```python
from mwe_query import Mwe
from alpino_query import parse_sentence

# the pronominal is marked with <>
sentence = 'iemand zal er <goed> voor staan'
mwe = Mwe(sentence)
# parse this sentence using Alpino
tree = parse_sentence(mwe.can_form)
mwe.set_tree(tree)

# This generates a list of MweQuery-objects
queries = mwe.generate_queries()

# precise = queries[0]
# near_miss = queries[1]
superset = queries[2]

print(superset.xpath)
# /node[..//node[@lemma="goed" and @pt="adj"] and ..//node[@lemma="staan" and @pt="ww"]]
print(superset.description)
# superset
print(superset.rank)
# 3
```

### Analyze Results

```python
from mwe_query import analyze_mwe_hit

# hit: etree._Element containing the node which matched on of the
# queries
# queries: generated query objects
# tree: etree._Element of the entire utterance tree
info = analyze_mwe_hit(hit, queries, tree)
print(hit.components.marked_utt)
```

## Upload to PyPi

```bash
pip install twine
python setup.py sdist
# this can be tested locally by creating a virtualenv and installing it:
# pip install dist/mwe-query-x.x.x.tar.gz
twine upload dist/*
```


