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• WebStylo

  2 resources

  Web based, open stylometry system based on Multilevel Text Analysis. Runs cluto and stylo (R system) clusterisation methods. Based on Natural Language Processing Workflow engine (included in the distribution).

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• Toposław 2 (2016-05-31)

  3 resources

  Toposław 2 is an editor of multi-world unit inflection lexicons.

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• ENIAM

  4 resources

  ENIAM: Categorial Syntactic-Semantic Parser for Polish

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• Liner2.6 model NER NKJP

  3 resources

  Liner2.6 NER NKJP model The package contains a pre-trained Liner2 (https://github.com/CLARIN-PL/Liner2) model for recognition named entities according to NKJP guidelines. The model was trained on the NKJP corpus (http://nkjp.pl/) and evaluated in the PolEval 2018 Task 2 (http://poleval.pl/tasks/). The model won third place with the following results: Exact — 0.778, Overlap — 0.818, Final — 0.810. References: * NKJP corpus in TEI format — http://clip.ipipan.waw.pl/NationalCorpusOfPolish?action=AttachFile&do=view&target=NKJP-PodkorpusMilionowy-1.2.tar.gz * PolEval 2018 Task 2 evaluation corpus — http://mozart.ipipan.waw.pl/~axw/poleval2018/

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• Universal Dependencies 2.10 models for UDPipe 2 (2022-07-11)

  2 resources

  Tokenizer, POS Tagger, Lemmatizer and Parser models for 123 treebanks of 69 languages of Universal Depenencies 2.10 Treebanks, created solely using UD 2.10 data (https://hdl.handle.net/11234/1-4758). The model documentation including performance can be found at https://ufal.mff.cuni.cz/udpipe/2/models#universal_dependencies_210_models . To use these models, you need UDPipe version 2.0, which you can download from https://ufal.mff.cuni.cz/udpipe/2 .

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• Tests for Word Embeddings

  4 resources

  Evaluation tools (WBST, HWBST, EWBST) for word embedding models used to assess and compare the usefulness of different word embeddings

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• CUBBITT Translation Models (en-pl) (v1.0)

  3 resources

  CUBBITT En-Pl translation models, exported via TensorFlow Serving, available in the Lindat translation service (https://lindat.mff.cuni.cz/services/translation/). Models are compatible with Tensor2tensor version 1.6.6. For details about the model training (data, model hyper-parameters), please contact the archive maintainer. Evaluation on newstest2020 (BLEU): en->pl: 12.3 pl->en: 20.0 (Evaluated using multeval: https://github.com/jhclark/multeval)

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• CorPipe 23 multilingual CorefUD 1.1 model (corpipe23-corefud1.1-231206)

  2 resources

  The `corpipe23-corefud1.1-231206` is a `mT5-large`-based multilingual model for coreference resolution usable in CorPipe 23 (https://github.com/ufal/crac2023-corpipe). It is released under the CC BY-NC-SA 4.0 license. The model is language agnostic (no _corpus id_ on input), so it can be used to predict coreference in any `mT5` language (for zero-shot evaluation, see the paper). However, note that the empty nodes must be present already on input, they are not predicted (the same settings as in the CRAC23 shared task).

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• Keyword Extractor

  1 resources

  Tool for extracting key phrases for text, using TextRank algorithm.

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• Cinderella - tool for Clustering and Classifications of Texts in Polish

  2 resources

  System for clustering and classifications of Texts in Polish. Source code.

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