I'm Stéphan Tulkens! I'm a computational linguistics/AI person. I am currently working as a machine learning engineer atEcosia. I am one of the two founding members ofMinish.

I got my Phd atCLiPS at the University of Antwerpen under the watchful eyes of Walter Daelemans (Computational Linguistics) and Dominiek Sandra (Psycholinguistics). The topic of my Phd was the way people process orthography during reading. You can find a copyhere.Before that I studied computational linguistics (Ma), philosophy (Ba) and software engineering (Ba)

My goal is always to make things as fast and small as possible. I like it when simple models work well, and I love it when simple models get close in accuracy to big models. I do not believe absolute accuracy is a metric to be chased, and I think we should always be mindful of what a model computes or learns from the data.

• vicinity: a ANN/Knn interface library.
• model2vec: a library for creating extremely fast sentence-transformers through distillation.
• semhash: a library for data deduplication and other dataset work.
• reach: a library for loading and working with word embeddings.

• wordkit: a library for working with orthography
• old20: calculate the orthographic levenshtein distance 20 metric.
• metameric: fast interactive activation networks in numpy.
• humumls: load the UMLS database into a mongodb instance. Fast!
• dutchembeddings: word embeddings for dutch (back when this was a cool thing to do)

• Tokenizers, specifically subword tokenizers.
• Embeddings, specificallystatic embeddings (so old-fashioned! 💀), and how to combine these in meaningful ways.
• String similarity, and how to compute it without using dynamic programming.

• My website
• Google Scholar
• Twitter

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1. reachreachPublic

   Load embeddings and featurize your sentences.

   Python 28 6

2. clips/dutchembeddingsclips/dutchembeddingsPublic

   Repository for the word embeddings experiments described in "Evaluating Unsupervised Dutch Word Embeddings as a Linguistic Resource", presented at LREC 2016.

   Python 83 14

3. MinishLab/model2vecMinishLab/model2vecPublic

   Fast State-of-the-Art Static Embeddings

   Python 1.1k 49