The Computational Linguistics course in Kurdish
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Updated
Mar 16, 2023
The Computational Linguistics course in Kurdish
System for Crawling and Indexing Websites in an Inverted Index.
A collection of some of my assignments from university and personal projects.
This repository provides code for the study "A proposal for Kansei knowledge extraction method based on natural language processing technology and online product reviews".
Represent any linguistic annotation in RDF, as Linked Data and/or OWL2/DL
Language Technology Course at University of Greenland
Ekstraktmorfoloogia meetodiga tuletatud keeletehnoloogia vadja sõnavara näitel (2019)
This repository contains the data used for and generated during our research for the article "Neo-Assyrian Imperial Religion Counts: A Quantitative Approach to the Affiliations of Kings and Queens with their Gods and Goddesses." The creation of this data has been funded by the Academy of Finland (decision numbers 298647, 312051, and 330727).
A Git(Hub) multirepo maintenance tool
This is the repository containing the data used for and created while writing the article "Digital Approaches to Analyzing and Translating Emotion: What Is Love?" The creation of this data has been funded by the Academy of Finland (decision numbers 298647, 312051, and 330727).
PuzzLing combines the full system for the CALL(Computer Assisted Language Learning) platform especially focusing on low-resource languages, which includes language scoring and feedback functions.
A Manifesto for Open Language Technology
a-sent-vis: Annotated Sentence Visualizer
Back-end API for Ġabra
Web server for language processing
Scripts to take hand washing related text in (almost) any language and float it into a hand washing poster.
A curated list of awesome resources and tools for Kurdish language technology
Web-based workflow management system that computes candidate tool workflows given input file(s) and the user's requirements regarding the output. Afterwards, runs a workflow selected by the user from the list of candidates. Implemented in Bracmat (~75%) and Java (~25%).
Front-end website for Ġabra
GiellaLT documentation
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