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  • DigiLing e-Learning Hub: e-Courses for Digital Linguistics

    The files represent exported e-learning resources created within the DigiLing project, www.digiling.eu. We have identified seven core subjects in Digital Linguistics and built seven corresponding courses: - Introduction to Text Processing and Analysis - Introduction to Python for Linguists - Computational Lexicology and Lexicography - Localization Tools and Workflows - Post-Editing Machine Translation - Mining and Managing Multilingual Terminology - Variability of Languages in Time and Space The data format is .mbz, a compressed archive compatible with any e-learning environment running Moodle.

  • TTS Text Processing (22.10)

    ENGLISH: This project provides a TTS textprocessing pipeline for Icelandic. The pipeline includes modules for html parsing, text cleaning, text normalization for TTS, spell and grammar correction, phrasing, and grapheme-to-phoneme (g2p) conversion. Before a text can be fed into a TTS system it has to be converted into the format that was used when training that system. The format can be grapheme-based (i.e. alphabetic characters of the language in question are used as input) or phoneme-based (i.e. a phonetic alphabet like IPA or SAMPA are used as input). The TTS Textprocessing Pipeline for Icelandic offers both possibilities. ÍSLENSKA: Þessi hugbúnaðarpakki inniheldur textavinnslupípu fyrir íslenska talgervla. Pípan samanstendur af vinnslu html-skjala fyrir hljóðbækur, hreinsun texta, textanormun, stafsetningarleiðréttingu, innsetningu á þögnum og sjálfvirkri hljóðritun. Áður en hægt er að senda texta á talgervil þarf að forvinna hann, t.d. skrifa út tölustafi og skammstafanir, merkja inn þagnir og koma textanum að lokum á sama form og þjálfunargögn þess talgervils sem á að lesa textann. Yfirleitt eru talgervlar þjálfaðir á hljóðrituðum textum, þar sem textarnir eru hljóðritaðir skv. hljóðritunarstafrófum eins og IPA eða SAMPA, en einnig geta þeir verið þjálfaðir beint á textum skrifuðum með hefðbundnum bókstöfum. Textavinnslupípan býður upp á báða möguleika og einnig að vinna textann einungis að hluta.

  • Corpus extraction tool LIST 1.2

    The LIST corpus extraction tool is a Java program for extracting lists from text corpora on the levels of characters, word parts, words, and word sets. It supports VERT and TEI P5 XML formats and outputs .CSV files that can be imported into Microsoft Excel or similar statistical processing software. Version 1.2 adds support for Gigafida 2.0 in XML format and fixes a bug which disabled the extraction of character-level n-grams from normalized forms in the GOS 1.0 corpus.

  • Dependency tree extraction tool STARK 1.0

    STARK is a python-based command-line tool for extraction of dependency trees from parsed corpora, aimed at corpus-driven linguistic investigations of syntactic phenomena of various kinds. It supports the CONLL-U format (https://universaldependencies.org/format.html) as input and returns a list of all relevant dependency trees, frequencies, and other associated information in the form of a tab-separated .tsv file. For installation, execution and the description of various user-defined parameter settings, see the official project page at: https://gitea.cjvt.si/lkrsnik/STARK. This entry corresponds to commit 421f12cac6 in the Git repository.

  • Dependency tree extraction tool STARK 2.0

    STARK is a python-based command-line tool for extraction of dependency trees from parsed corpora, aimed at corpus-driven linguistic investigations of syntactic and lexical phenomena of various kinds. It takes a treebank in the CONLL-U format as input and returns a list of all relevant dependency trees with frequency information and other useful statistics, such as the strength of association between the nodes of a tree, or its significance in comparison to another treebank. For installation, execution and the description of various user-defined parameter settings, see the official project page at: https://github.com/clarinsi/STARK In comparison with v1, this version introduces several new features and improvements, such as the option to set parameters in the command line, compare treebanks or visualise results online.

  • Dependency tree extraction tool STARK 3.0

    STARK is a highly customizable tool designed for extracting different types of syntactic structures (trees) from parsed corpora (treebanks), aimed at corpus-driven linguistic investigations of syntactic and lexical phenomena of various kinds. It takes a treebank in the CONLL-U format as input and returns a list of all relevant dependency trees with frequency information and other useful statistics, such as the strength of association between the nodes of a tree, or its significance in comparison to another treebank. For installation, execution and the description of various user-defined parameter settings, see the official project page at: https://github.com/clarinsi/STARK. An online demo version of the tool is available at: https://orodja.cjvt.si/stark/. In comparison to v2, this version introduces several new features and improvements, such as the ability to extract very long trees, ignore irrelevant relations, process multi-root treebanks, or handle special operators when querying.

  • Corpus extraction tool LIST 1.3

    The LIST corpus extraction tool is a Java program for extracting lists from text corpora on the levels of characters, word parts, words, and word sets. It supports VERT and TEI P5 XML formats and outputs .CSV files that can be imported into Microsoft Excel or similar statistical processing software. Version 1.3 adds support for the KOST 2.0 Slovene Learner Corpus (http://hdl.handle.net/11356/1887) in XML format. It also allows program execution using the command line (see 00README.txt for details), and uses a later version of Java (tested using JDK 21). In addition, Windows users no longer need to have Java installed on their computers to run the program.