Search results

• Morphological Analyzer for Shipibo-Konibo

  2 resources

  This tool is the first morphological analyzer ever for this language. The analyzer is a FST that produces all possible segmentations and tagging sequences in a word-by-word fashion.

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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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• WMT21 Marian translation model (ca-oc multi-task)

  1 resources

  Marian NMT model for Catalan to Occitan translation. It is a multi-task model, producing also a phonemic transcription of the Catalan source. The model was submitted to WMT'21 Shared Task on Multilingual Low-Resource Translation for Indo-European Languages as a CUNI-Contrastive system for Catalan to Occitan.

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• VIADAT-SEARCH

  6 resources

  VIADAT-SEARCH in connection with VIADAT-REPO enables searching transcripts of oral history recordings. Language analysis has been used to preprocess the recordings, which makes it possible to search the fulltext using multiple criteria, including names, different forms of the same word etc. Developed in cooperation with ÚSD AV ČR and NFA.

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• The CLASSLA-StanfordNLP model for lemmatisation of standard Bulgarian 1.0

  2 resources

  The model for lemmatisation of standard Bulgarian was built with the CLASSLA-StanfordNLP tool (https://github.com/clarinsi/classla-stanfordnlp) by training on the BulTreeBank training corpus (http://hdl.handle.net/11495/D93F-C6E9-65D9-2) and using the Bulgarian inflectional lexicon (Popov, Simov, and Vidinska 1998). The estimated F1 of the lemma annotations is ~98.8.

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• CorpoGrabber-Desktop: The Toolchain to Automatic Acquiring and Extraction of the Website Content

  3 resources

  Desktop version of CorpoGrabber CLI

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• The CLASSLA-Stanza model for morphosyntactic annotation of spoken Slovenian 2.2

  3 resources

  This model for morphosyntactic annotation of spoken Slovenian was built with the CLASSLA-Stanza tool (https://github.com/clarinsi/classla) by training on the SST treebank of spoken Slovenian (https://github.com/UniversalDependencies/UD_Slovenian-SST) combined with the SUK training corpus (http://hdl.handle.net/11356/1959) and using the CLARIN.SI-embed.sl word embeddings (http://hdl.handle.net/11356/1791) that were expanded with the MaCoCu-sl Slovene web corpus (http://hdl.handle.net/11356/1517). The model produces simultaneously UPOS, FEATS and XPOS (MULTEXT-East) labels. The estimated F1 of the XPOS annotations is ~96.76.

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• The CLASSLA-Stanza model for lemmatisation of spoken Slovenian 2.2

  2 resources

  This model for lemmatisation of spoken Slovenian was built with the CLASSLA-Stanza tool (https://github.com/clarinsi/classla) by training on the SST treebank of spoken Slovenian (https://github.com/UniversalDependencies/UD_Slovenian-SST) combined with the SUK training corpus (http://hdl.handle.net/11356/1959) and using the CLARIN.SI-embed.sl word embeddings (http://hdl.handle.net/11356/1791) that were expanded with the MaCoCu-sl Slovene web corpus (http://hdl.handle.net/11356/1517). The estimated F1 of the lemma annotations is ~99.23.

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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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