Language modeling: Difference between revisions

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(added Language Modeling Benchmarks and link to DuMB)
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*[http://proycon.github.io/colibri-core/ Github repository]
*[http://proycon.github.io/colibri-core/ Github repository]


==BERT-like models==
==Large Language Models==
* [https://huggingface.co/models?search=dutch Hugging Face Dutch Models]
* [https://huggingface.co/models?search=dutch Hugging Face Dutch Models]
* [https://people.cs.kuleuven.be/~pieter.delobelle/robbert/ RobBERT]: A Dutch RoBERTa-based Language Model
* [https://people.cs.kuleuven.be/~pieter.delobelle/robbert/ RobBERT]: A Dutch RoBERTa-based Language Model
* [https://github.com/wietsedv/bertje BERTje]: A Dutch BERT model
* [https://github.com/Rijgersberg/GEITje GEITje]: A Large Open Language Model


==Multilingual Language Models including Dutch==
==Multilingual Language Models including Dutch==

Revision as of 12:52, 19 December 2023

n-gram modeling

Colibri core is an NLP tool as well as a C++ and Python library for working with basic linguistic constructions such as n-grams and skipgrams (i.e. patterns with one or more gaps, either of fixed or dynamic size) in a quick and memory-efficient way. At the core is the tool colibri-patternmodeller which allows you to build, view, manipulate and query pattern models.

Large Language Models

Multilingual Language Models including Dutch

SpaCy

spaCy is a free open-source library for Natural Language Processing in Python.

Language Modeling Benchmarks

DUMB is a benchmark for evaluating the quality of language models for Dutch NLP tasks. The set of tasks is designed to be diverse and challenging, to test the limits of current language models. The specific datasets and formats are particularly suitable for fine-tuning encoder models, and applicability for large generative models is yet to be determined. Please read the paper for more details.