Turku-neural-parser-pipeline
A neural parsing pipeline for segmentation, morphological tagging, dependency parsing and lemmatization with pre-trained models for more than 50 languages. Top ranker in the CoNLL-18 Shared Task.
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- docker.md
- index.md
- install.md
- models.md
- training.md
- _config.yml
- docker.md
- index.md
- install.md
- models.md
- tnpp_diaparse.ipynb
- training.md
- udify_base.json
- udify_vocab.json
- data.py
- model.py
- predict.py
- train.py
- __init__.py
- bert512_mod.py
- clean_lemmas_mod.py
- diaparser_mod.py
- dummy_mod.py
- lemma_cache_mod.py
- lemmatizer_mod.py
- lightning_tagger_mod.py
- output_mod.py
- pipeline.py
- tokenizer_udpipe_mod.py
- trim_to_max_mod.py
- wipe_mod.py
- wstokenizer_mod.py
- lemmatizer.yaml
- parser.cfg
- pipelines.yaml
- tagger.cfg
- tokenizer.cfg
- train_models.py
- .gitignore
- .gitmodules
- build_lemma_cache.py
- conll18_ud_eval.py
- delexicalize_mod.py
- docker_build.sh
- docker_entry_point.sh
- Dockerfile.server
- dummy_handler.py
- fetch_models.py
- full_pipeline_server.py
- full_pipeline_stream.py
- LICENSE
- list_models.sh
- publish_model.sh
- README.md
- regextokenizer_mod.py
- requirements.txt
- setup.py
- tnpp-parse
- tnpp_parse.py
- tnpp_serve.py
- tokenizer_mod.py
- train_lemmatizer.py
- train_udify.py
- tryme.py
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