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  • EduPo: Analysis and Generation of Czech Poetry, v0.5

    A suite of tools for analysis and generation of Czech poetry. This is a snapshot of the public Github repository at https://github.com/ufal/edupo -- the beta-version of the tool suite, released together with a scientific paper at the NLP4DH 2025 conference. Sada nástrojů pro analýzu a generování české poezie. Tato verze veřejného repozitáře na Githubu https://github.com/ufal/edupo je beta-verzí doprovázející vydání vědeckého článku na konferenci NLP4DH 2025.

  • Tokenizer for Icelandic text (3.3.2)

    Tokenizer is a compact pure-Python (2.7 and 3) executable program and module for tokenizing Icelandic text. It converts input text to streams of tokens, where each token is a separate word, punctuation sign, number/amount, date, e-mail, URL/URI, etc. It also segments the token stream into sentences, considering corner cases such as abbreviations and dates in the middle of sentences. More information at: https://github.com/mideind/Tokenizer Tokenizer er pakki fyrir Python 2.7 og 3, ásamt skipanalínutóli, sem sér um tilreiðslu íslensks texta. Pakkinn umbreytir inntakstexta í tókastraum. Hver tóki er stakt orð, greinarmerki, tala/upphæð, dags-/tímasetning, netfang, vefslóð o.s.frv. Tólið skiptir tókastraumnum einnig í setningar og tekur tillit til jaðartilvika eins og skammstafana og dagsetninga í miðjum setningum. Frekari upplýsingar á: https://github.com/mideind/Tokenizer

  • THEaiTRobot 1.0

    The THEaiTRobot 1.0 tool allows the user to interactively generate scripts for individual theatre play scenes. The tool is based on GPT-2 XL generative language model, using the model without any fine-tuning, as we found that with a prompt formatted as a part of a theatre play script, the model usually generates continuation that retains the format. We encountered numerous problems when generating the script in this way. We managed to tackle some of the problems with various adjustments, but some of them remain to be solved in a future version. THEaiTRobot 1.0 was used to generate the first THEaiTRE play, "AI: Když robot píše hru" ("AI: When a robot writes a play").

  • GreynirCorrect (3.2.1)

    GreynirCorrect is a Python 3 package and a command line tool for checking and correcting various types of spelling and grammar errors in Icelandic text. GreynirCorrect relies on the Tokenizer package, by the same authors, to tokenize text. More information can be found at https://github.com/mideind/GreynirCorrect, and detailed documentation at https://yfirlestur.is/doc/. GreynirCorrect er Python 3 pakki og skipanalínutól sem bendir á og leiðréttir ýmsar tegundir stafsetningar- og málvillna í íslenskum texta. GreynirCorrect reiðir sig á Tokenizer-pakkann, eftir sömu höfunda, til að tilreiða textann. Frekari upplýsingar má finna á https://github.com/mideind/GreynirCorrect, og ítarlega skjölun (á ensku) á https://yfirlestur.is/doc/.

  • The Trankit model for linguistic processing of spoken and written Slovenian 1.1

    This is a retrained Slovenian model for the Trankit v1.1.1 library for multilingual natural language processing (https://pypi.org/project/trankit/), trained on the concatenation of the SSJ UD treebank of written Slovenian (featuring fiction, non-fiction, periodicals and Wikipedia texts) and the SST UD treebank of spoken Slovenian (featuring transcriptions of spontaneous speech in various settings). It is able to predict sentence segmentation, tokenization, lemmatization, language-specific morphological annotation (MULTEXT-East morphosyntactic tags), as well as universal part-of-speech tagging, morphological features, and dependency parses in accordance with the Universal Dependencies annotation scheme (https://universaldependencies.org/). In comparison to its counterpart models trained on SSJ (http://hdl.handle.net/11356/1963) or SST datasets only, this model yields a significantly better performance on spoken transcripts and an almost identical state-of-the-art performance on written texts. The model can therefore be recommended as the default, 'universal' Trankit model for processing Slovenian, regardless of the data type. To utilize this model, please follow the instructions provided in our github repository (https://github.com/clarinsi/trankit-train) or refer to the Trankit documentation (https://trankit.readthedocs.io/en/latest/training.html#loading). This ZIP file contains models for both xlm-roberta-large (which delivers better performance but requires more hardware resources) and xlm-roberta-base. In comparison to the previous version, this version was trained on a newer, slightly improved version of the SSJ UD treebank (UD v2.14, https://github.com/UniversalDependencies/UD_Slovenian-SSJ/tree/r2.14) and a substantially extended and improved version of the SST UD treebank (UD v2.15, https://github.com/UniversalDependencies/UD_Slovenian-SST/tree/dev), thus producing significantly better results for spoken data.

  • Icelandic NER API - ELECTRA-base model (21.05)

    A dockerized Named Entity Recognition (NER) API for Icelandic. It uses a ELECTRA-base language model, that has been fine tuned for NER using MIM-GOLD-NER. It achieves F1-score of ~91.9 on the test set for MIM-GOLD-NER. The code for the API is available at https://github.com/icelandic-lt/Icelandic-NER-API and the files for the fine tuned model are available in this submission. Dockerútfærð forritaskil fyrir nafnakennsl (NER) á íslensku. Það notast við ELECTRA-base mállíkan, sem hefur verið fínstillt fyrir NER með nafnakennslamálheildinni MIM-GOLD-NER. Líkanið nær u.þ.b. 91.9 fyrir prófunarmengi MIM-GOLDöNER. Forritunarkóðinn fyrir forritaskilinu eru aðgengileg hérna: https://github.com/icelandic-lt/Icelandic-NER-API og skrárnar fyrir fínstillta líkanið má finna í þessari færslu.

  • Morfeusz 2

    Morfeusz 2 is a dictionary based morphological analyser and generator for Polish. This version of the program is decoupled from the dictionary. Two dictionaries of Polish developed within other projects are distributed with Morfeusz 2, namely SGJP and Polimorf.