clips/dutchembeddings

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

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This project provides pre-trained Dutch word embeddings, which are numerical representations of words that capture their meanings and relationships in the Dutch language. Researchers and practitioners in natural language processing can use these embeddings as input for various language-related tasks, allowing algorithms to understand Dutch text more effectively. The end-users are computational linguists, NLP engineers, or data scientists working with Dutch language data.

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Use this if you need high-quality, pre-trained numerical representations of Dutch words for tasks like text classification, sentiment analysis, or machine translation.

Not ideal if you are working with a language other than Dutch or require custom embeddings trained on a very specific, niche corpus that differs significantly from general Dutch texts.

computational-linguistics natural-language-processing Dutch-language-technology text-analysis semantic-similarity
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14

Language

Python

License

GPL-2.0

Last pushed

Jun 11, 2021

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