Merge branch 'master' into cordex

This commit is contained in:
Cyprian Laskowski 2023-08-09 10:30:36 +02:00
commit b36e07253f
3 changed files with 76 additions and 7 deletions

4
.gitignore vendored
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@ -1,2 +1,6 @@
__pycache__
resources
tmp
venv
build
*.egg-info

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@ -4,14 +4,18 @@ Pipeline for parsing a list of arbitrary Slovene strings and assigning
each to a syntactic structure in the DDD database, generating
provisional new structures if necessary.
## Setup
## Installation
Most of the scripts come from other repositories and python libraries.
Run the set-up script:
Installation requires the [CLASSLA](https://github.com/clarinsi/classla) standard_jos models, as
well as (for now) the wani.py script from
[luscenje_struktur](https://gitea.cjvt.si/ozbolt/luscenje_struktur):
```
$ scripts/setup.sh
```
pip install .
python -c "import classla; classla.download('sl', dir='resources/classla', type='standard_jos')"
curl -o resources/wani.py https://gitea.cjvt.si/ozbolt/luscenje_struktur/raw/branch/master/wani.py
The classla directory and wani.py file do not necessarily need to be placed under resources/, but
the wrapper script scripts/process.py assumes that they are.
## Usage

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@ -1,9 +1,11 @@
import shutil
import codecs
import tempfile
import lxml.etree as lxml
import classla
import cordex
import classla.models.parser as classla_manual
from structure_assignment.constants import *
from structure_assignment.tweak_conllu import tweak as tweak_conllu
@ -50,6 +52,65 @@ class Runner:
pipeline.export_file(output_file_name, 'tei-initial')
self.cleanup(pipeline)
def tagged_to_dictionary(self, strings_file_name, input_file_name, output_file_name, input_structure_file_name, output_structure_file_name): # TODO: refactor/tidy
classla_conllu_file_name = '/tmp/classla.conlu'
merged_conllu_file_name = '/tmp/merged.conlu'
parsed_conllu_file_name = '/tmp/parsed.conlu'
pipeline = Pipeline(self.nlp)
pipeline.import_file(strings_file_name, 'strings-list')
pipeline.do_tokenise()
pipeline.do_tweak_conllu()
pipeline.do_parse()
pipeline.export_file(classla_conllu_file_name, 'classla-parsed')
classla_conllu_file = codecs.open(classla_conllu_file_name, 'r')
tagged_conllu_file = codecs.open(input_file_name, 'r')
merged_conllu_file = codecs.open(merged_conllu_file_name, 'w')
for (classla_line, tagged_line) in zip(classla_conllu_file, tagged_conllu_file):
classla_line = classla_line.strip()
tagged_line = tagged_line.strip()
if ((len(classla_line) == 0 and len(tagged_line) == 0)
or (classla_line.startswith('#') and tagged_line.startswith('#'))):
merged_line = classla_line
else:
classla_columns = classla_line.split('\t')
tagged_columns = tagged_line.split('\t')
assert len(classla_columns) == 10, 'Missing token in classla-generated conllu ({}).'.format(tagged_line)
assert len(tagged_columns) == 10, 'Missing token in pre-tagged conllu ({}).'.format(classla_line)
assert classla_columns[1] == tagged_columns[1], 'Pre-tagged token form ({}) does not match classla-generated token form ({}).'.format(classla_columns[1], tagged_columns[1])
merged_columns = [classla_columns[i] if i in (3,5,9) else tagged_columns[i] for i in range(10)]
merged_line = '\t'.join(merged_columns)
merged_conllu_file.write(merged_line + '\n')
merged_conllu_file.close()
tagged_conllu_file.close()
classla_conllu_file.close()
classla_map = {
'save_dir':self.classla_directory + '/sl/depparse',
'save_name':'standard_jos.pt',
'eval_file':merged_conllu_file_name,
'output_file':parsed_conllu_file_name,
'gold_file':merged_conllu_file_name,
'shorthand':'sl_ssj',
'mode':'predict',
'pretrain_file':self.classla_directory + '/sl/pretrain/standard.pt'
}
classla_arguments = []
for (key, value) in classla_map.items():
classla_arguments += ['--' + key, value]
classla_manual.main(args=classla_arguments)
pipeline.import_file(parsed_conllu_file_name, 'classla-parsed')
pipeline.do_translate_jos()
pipeline.do_conllu_to_tei()
pipeline.import_file(input_structure_file_name, 'structures-old')
self._parse_to_dictionary_sequence(pipeline)
pipeline.export_file(output_file_name, 'dictionary')
pipeline.export_file(output_structure_file_name, 'structures-new')
self.cleanup(pipeline)
def parse_to_dictionary(self, input_file_name, output_file_name, input_structure_file_name, output_structure_file_name):
pipeline = Pipeline()
pipeline.import_file(input_file_name, 'tei-initial')