http://linguisticsweb.org/ 2026-06-13T06:21:41+00:00 http://linguisticsweb.org/ http://linguisticsweb.org/lib/tpl/starter/images/favicon.ico text/html 2021-07-09T16:40:57+00:00 Anonymous (anonymous@undisclosed.example.com) http://linguisticsweb.org/doku.php?id=linguisticsweb:tutorials:annotation_formats&rev=1625841657&do=diff Annotation formats status: work in progress (2018-07-09) Plain text, white space delimited tokens The simplest format is plain text in which tokens are delimited by white space: We're not laughing at you - we're laughing near you. Plain text, white space delimited tokens including tokenized punctuation marks text/html 2022-05-27T23:03:21+00:00 Anonymous (anonymous@undisclosed.example.com) http://linguisticsweb.org/doku.php?id=linguisticsweb:tutorials:automaticannotation&rev=1653685401&do=diff Automatic annotation Many annotation tasks in natural language processing are automatic annotation processes. These automatic processes basically fall into the following main categories with list and pattern matching being closely related: List matching text/html 2023-04-30T00:10:25+00:00 Anonymous (anonymous@undisclosed.example.com) http://linguisticsweb.org/doku.php?id=linguisticsweb:tutorials:basics&rev=1682806225&do=diff Basic infrastructure for processing linguistic data * Generic tools (editors etc.) * The Shell (aka the command prompt or Terminal) * System requirements * Character encoding * Regular expressions * Textputzing * Fonts * Advanced shell settings Editor tutorials * Visual Studio Code for Python programming * Eclipse for basic text processing Setting up the programming environment * Perl * Python 3 * Java Development Kit (JDK) text/html 2021-11-26T22:23:49+00:00 Anonymous (anonymous@undisclosed.example.com) http://linguisticsweb.org/doku.php?id=linguisticsweb:tutorials:corpus_analysis_basics&rev=1637961829&do=diff corpus analysis basics tutorial status: under construction (2021-11-20) Corpus linguistics has two principal technological mainstays: * digital corpora, i.e. principled collections of plain text data that form the data basis of the research * tools for search over patterns in the data and/or the annotations, for data sorting and display in various aggregations such as e.g. word lists, word frequency lists or KWIC concordances text/html 2020-10-01T12:23:24+00:00 Anonymous (anonymous@undisclosed.example.com) http://linguisticsweb.org/doku.php?id=linguisticsweb:tutorials:corpus_encoding_formats&rev=1601547804&do=diff Corpus encoding formats Status of the tutorial: in progress TEI The Text Encoding Initiative (TEI) works towards guidelines (Sperberg-McQueen & Burnard 1994) for a standardisation of encoding formats for text interchange. Originally, the TEI Guidelines were implemented in the Standard Generalized Mark Up Language (SGML); later implementations build on the eXtensible Markup Language (XML). text/html 2021-10-02T13:47:10+00:00 Anonymous (anonymous@undisclosed.example.com) http://linguisticsweb.org/doku.php?id=linguisticsweb:tutorials:elearning&rev=1633175230&do=diff Digital learning and teaching Online digital learning and teaching have, for a long time, been a part of our lives as learners and teachers. Yet, since the onset of the Corona pandemic, online learning and teaching resources have proven to be even more valuable and have, indeed, become indispensable. Fortunately, there are many tools and frameworks available that enable and facilitate online content delivery and communication. text/html 2020-10-01T12:23:24+00:00 Anonymous (anonymous@undisclosed.example.com) http://linguisticsweb.org/doku.php?id=linguisticsweb:tutorials:exploration&rev=1601547804&do=diff Exploratory methods Many methods in the analysis of large digital text corpora are so-called exploratory methods. This means that there are very few initial assumptions or hypotheses underlying these methods. Some of them such as topic modelling are for example language agnostic which means that the underlying algorithm can be applied to any language. But there are other exploratory approaches as well. text/html 2020-10-01T12:23:25+00:00 Anonymous (anonymous@undisclosed.example.com) http://linguisticsweb.org/doku.php?id=linguisticsweb:tutorials:frameworks&rev=1601547805&do=diff Frameworks and toolsets A major challenge in research scenarios in the domain of linguistic natural language processing is the annotation of language data at different levels of linguistic organization. Different levels of linguistic organization are typically analyzed and annotated by means of different tools, e.g. different part of speech taggers, named entity recognizers, syntactic parsers, coreference resolution etc. In most cases, these tools work separately from one another and require sp… text/html 2020-10-01T12:23:25+00:00 Anonymous (anonymous@undisclosed.example.com) http://linguisticsweb.org/doku.php?id=linguisticsweb:tutorials:literary_stylistics&rev=1601547805&do=diff Literary stylistics or literary linguistics or Corpus stylistics Literary stylistics * Matt Jockers. 2013. Macroanalysis: Digital Methods and Literary History. Springer. * Matt Jockers. 2014/forthcoming. Text analysis with R for students of literature. University of Illinions Press. * DocuScope at Carnegie Mellon Corpus stylistics * Stylo: R package Tools * JGAAP (Java Graphical Authorship Attribution Program) * R Text encoding text/html 2020-10-01T12:23:25+00:00 Anonymous (anonymous@undisclosed.example.com) http://linguisticsweb.org/doku.php?id=linguisticsweb:tutorials:manual_annotation&rev=1601547805&do=diff Manual annotation * UAM Corpus Tool * EXMARaLDA * MMAX2 * CATMA text/html 2020-10-01T12:23:25+00:00 Anonymous (anonymous@undisclosed.example.com) http://linguisticsweb.org/doku.php?id=linguisticsweb:tutorials:programming&rev=1601547805&do=diff Programming for linguistics There is a vast number of software programs available today supporting many of the tasks researchers in the humanities need to get done. However, a piece of software, no matter how experienced its programmer or how configurable it may be, of necessity is limited to the functions its developer has envisioned. In many cases, this is perfectly sufficient and there is a large number of experienced programmers out there who have a good idea of what the common humanities s… text/html 2021-10-03T15:59:39+00:00 Anonymous (anonymous@undisclosed.example.com) http://linguisticsweb.org/doku.php?id=linguisticsweb:tutorials:programming4corpuslinguistics&rev=1633269579&do=diff programming4corpuslinguistics author: @sabinebartsch | last change: 2021-10-03 | tutorial status: in progress This tutorial serves as a basic introduction to programming with a view to data processing and analysis tasks in corpus linguistics. introduction text/html 2020-10-01T12:23:25+00:00 Anonymous (anonymous@undisclosed.example.com) http://linguisticsweb.org/doku.php?id=linguisticsweb:tutorials:quantitative_analysis&rev=1601547805&do=diff quantitative analysis * R for corpus statistics * Python for corpus statistics and data analytics text/html 2025-06-10T23:26:12+00:00 Anonymous (anonymous@undisclosed.example.com) http://linguisticsweb.org/doku.php?id=linguisticsweb:tutorials:query_tools&rev=1749590772&do=diff Query and corpus management tools The main goal of building and annotating corpora is to enable the study of the data under different research perspectives. In order to do so, tools are employed that allow us to sort, query and analyze data on the basis of search patterns. There are tools that serve the on-the-fly query of corpora as well as full-scale corpus management systems. Some of these tools are introduced here. text/html 2020-10-01T12:23:25+00:00 Anonymous (anonymous@undisclosed.example.com) http://linguisticsweb.org/doku.php?id=linguisticsweb:tutorials:semi-automatic_annotation&rev=1601547805&do=diff Semi-automatic annotation In many cases, there is no implementation of a fully automatic annotation process available or the researcher needs more intellectual control over an annotation process that can still be partly automated. Frequently, such processes make use of pattern searches by means of regular expressions in which any hit at the surface of the data is annotated with a certain feature label. Other cases involve the on-the-fly scrutiny and correction of an otherwise automatic annotati… text/html 2020-10-01T12:23:26+00:00 Anonymous (anonymous@undisclosed.example.com) http://linguisticsweb.org/doku.php?id=linguisticsweb:tutorials:spokenlanguagetools&rev=1601547806&do=diff Tools for processing spoken language data * Praat * EXMARaLDA * WebMAUS text/html 2020-10-01T12:23:26+00:00 Anonymous (anonymous@undisclosed.example.com) http://linguisticsweb.org/doku.php?id=linguisticsweb:tutorials:tei&rev=1601547806&do=diff TEI Guidelines The TEI Guidelines of the Text Encoding Initiative guide the process of encoding and replicating the structure of documents in an electronic XML file. TEI by Example TEI by Example is a great resource for learning the Guidelines of the TEI based on authentic examples. TEI by Example offers tutorials, exercises, texts and additional materials to facilitate work with the TEI guidelines for different types of documents such as for example prose, drama and primary sources. text/html 2020-10-01T12:23:26+00:00 Anonymous (anonymous@undisclosed.example.com) http://linguisticsweb.org/doku.php?id=linguisticsweb:tutorials:tutorials_alphaindex&rev=1601547806&do=diff tutorials - alphabetical index work in progress