Interlinear glossing for the browser
Leipzig
Devhaus Leipzig Design System
A WebComponent for rendering Leipzig Interlinear Gloss.
API for web services provided by the project Wortschatz, University of Leipzig
Apps Script IDE framework
Music Representation
Takes GeoJSON data for neighborhood outlines, and formats it so that we can use them on our maps.
Chinese Whispers Algorithm
generates config for deployed instances
A JavaScript library for converting linguistic data to HTML
Sentiment analysis for Node.js
Download ebook pdf mobi epub Lewis Carroll & Antonie Zimmermann Alice im Wunderland is available now
Web scrapper for the Immowelt apartment listing
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Web scrapper for the immobilienscout24 apartment listing
Download ebook pdf mobi epub Thomas A. Seidel & Wolfgang Ratzmann Eine Insel im roten Meer is available now
Feyenoord - Ajax live uitslagen, H2H en opstellingen
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Personal framework for more accessibility and sustainability, not just for MODX.
Core traits and types for the Panini linguistic feature extraction framework
Execution engine for the Panini linguistic feature extraction framework
Language-specific definitions and presets for the Panini linguistic feature extraction framework
Procedural macros for the Panini linguistic feature extraction framework
CLI tool to query the menu of canteens contained in the OpenMensa database
Safe Rust bindings to the Verovio music notation engraving library
Bundled SMuFL fonts and resources for verovioxide
Fast, small-binary language detection with opt-in language packs
A music composition, synthesis, and audio generation library
Self-developed Mandarin Pinyin input method engine — segmenter, fuzzy syllables, zero-dependency self-built finite-state index (inputx-fsa) dict, WASM-ready. Powers the Inputx IME.
Embedded bigram FSAs (inter-token + intra-token) for the inputx-pinyin engine — single byte slices, zero deps, include_bytes-loaded. Optional dependency of inputx-pinyin (default-on via the `bigrams` feature).
Embedded core Mandarin Pinyin dictionary (inputx-fsa Dict format) for the inputx-pinyin engine — single byte slice, zero deps, include_bytes-loaded. Required dependency of inputx-pinyin.
Tiny client for API Leipzig
WLAPI is a programmatic API for web services providedby the project Wortschatz, University of Leipzig. Theseservices are a great source of linguistic knowledgefor morphological, syntactic and semantic analysisof German both for traditional and ComputationalLinguistics (CL). Use this API to gain data on wordfrequencies, left and right neighbours, collocations andsemantic similarity. Check it out if you are interested inNatural Language Processing (NLP) and Human LanguageTechnology (HLT).
==== Ruby Topic Maps (RTM) RTM is a Topic Maps engine written in Ruby. See http://rtm.topicmapslab.de/ for instructions. Several backends and extensions are available as separate gems. ==== Overview From a developer's perspective, RTM is a schema-less database management system. The Topic Maps standard (described below) on which RTM is based provides a way of creating a self-describing schema just by using it. ==== Quickstart require 'rtm' connection = RTM.connect # uses the default Ontopia in-memory backend topic_map = connection.create "http://example.org/my_topic_map/" some_topic = topicmap.get!("identifier_of_the_topic") some_topic["-"] = "default name for the topic" topic_map.to_xtm("my_xtm_file.xtm") ==== Topic Maps Topic Maps is an international industry standard (ISO13250) for interchangeably representing information about the structure of information resources used to define topics, and the relationships between topics. A set of one or more interrelated documents that employs the notation defined by this International Standard is called a topic map. A topic map defines a multidimensional topic space - a space in which the locations are topics, and in which the distances between topics are measurable in terms of the number of intervening topics which must be visited in order to get from one topic to another, and the kinds of relationships that define the path from one topic to another, if any, through the intervening topics, if any. In addition, information objects can have properties, as well as values for those properties, assigned to them. The Topic Maps Data Model which is used in this implementation can be found on http://www.isotopicmaps.org/sam/sam-model/. ==== Backends * rtm-ontopia: JRuby only, recommended, uses Ontopia: http://code.google.com/p/ontopia/ * rtm-tinytim: JRuby only, uses TinyTiM: http://tinytim.sourceforge.net/ * rtm-activerecord: uses a custom ActiveRecord schema ==== Extensions * rtm-tmql: Adds support for the Topic Maps Query Language (TMQL), http://isotopicmaps.org/tmql/ * rtm-tmcl: Adds support for the Topic Maps Constraint Language (TMCL), http://isotopicmaps.org/tmcl/ ==== License Copyright 2009 Topic Maps Lab, University of Leipzig. Apache License, Version 2.0
==== Topic Maps for Rails (rtm-rails) RTM-Rails is the Rails-Adapter for Ruby Topic Maps. It allows simple configuration of topicmaps in config/topicmaps.yml. ==== Overview From a developer's perspective, RTM is a schema-less database management system. The Topic Maps standard (described below) on which RTM is based provides a way of creating a self-describing schema just by using it. You can use RTM as a complement data storage to ActiveRecord in your Rails apps. ==== Quickstart - existing Rails project jruby script/generate topicmaps Run the command above after installing rtm-rails. This will create * a minimal default configuration: config/topicmaps.yml and * a file with more examples and explanations config/topicmaps.example.yml * a file README.topicmaps.txt which contains more information how to use it and where to find more information * an initializer to load the topicmaps at startup * a rake task to migrate the topic maps backends in your rails application. ==== Quickstart - new Rails project For a new Rails application these are the complete initial steps: jruby -S rails my_topicmaps_app cd my_topicmaps_app jruby -S script/generate jdbc jruby -S script/generate topicmaps # The following lines are necessary because Rails does not have a template # for the H2 database and Ontopia does not support the Rails default SQLite3. sed -e "s/sqlite3/h2/" config/database.yml > config/database.yml.h2 mv config/database.yml.h2 config/database.yml # Prepare the database and then check if all is OK jruby -S rake topicmaps:migrate_backends jruby -S rake topicmaps:check ==== Usage inside the application When everything is fine, let's create our first topic: jruby -S script/console TM[:example].get!("http://example.org/my/first/topic") # and save the topic map TM[:example].commit Access the configured topic maps anywhere in your application like this: TM[:example] To retrieve all topics, you can do TM[:example].topics To retrieve a specific topic by its subject identifier: TM[:example].get("http://example.org/my/topic") Commit the changes to the database permanently: TM[:example].commit ... or abort the transaction: TM[:example].abort More information can be found on http://rtm.topicmapslab.de/ ==== Minimal configuration default: topicmaps: example: http://rtm.topicmapslab.de/example1/ The minimal configuration creates a single topic map, named :example with the locator given. This topic map will be persisted in the same database as your ActiveRecord connection if not specified otherwise. The default backend is OntopiaRDBMS (from the rtm-ontopia gem). A more complete configuration can be found in config/topicmaps.example.yml after running "jruby script/generate topicmaps". It also includes how to specifiy multiple connections to different data stores and so on. ==== Topic Maps Topic Maps is an international industry standard (ISO13250) for interchangeably representing information about the structure of information resources used to define topics, and the relationships between topics. A set of one or more interrelated documents that employs the notation defined by this International Standard is called a topic map. A topic map defines a multidimensional topic space - a space in which the locations are topics, and in which the distances between topics are measurable in terms of the number of intervening topics which must be visited in order to get from one topic to another, and the kinds of relationships that define the path from one topic to another, if any, through the intervening topics, if any. In addition, information objects can have properties, as well as values for those properties, assigned to them. The Topic Maps Data Model which is used in this implementation can be found on http://www.isotopicmaps.org/sam/sam-model/. ==== License Copyright 2009 Topic Maps Lab, University of Leipzig. Apache License, Version 2.0
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