Turkish-Word-Embeddings/Word-Embeddings-Repository-for-Turkish
Code for "A Comprehensive Analysis of Static Word Embeddings for Turkish". Expert Systems with Applications 2024.
This project provides pre-trained word embeddings for the Turkish language, essential for building advanced natural language processing (NLP) applications. It takes various Turkish text corpora and applies state-of-the-art embedding methods to produce high-quality word vectors. Researchers and NLP practitioners working with Turkish text data will find this invaluable for tasks like sentiment analysis, named entity recognition, and more.
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Use this if you need robust, pre-trained word representations for Turkish to improve the performance of your NLP models.
Not ideal if you are working with languages other than Turkish or if you need to train entirely custom word embeddings from scratch without pre-existing models.
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MIT
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Last pushed
Feb 07, 2025
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