Shypd.aiThe largest open index of AI toolsngram2vec is an open-source Coding & Development tool that implements four word embedding models in Python. It supports arbitrary context features for learning improved word representations and ngram embeddings.
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ngram2vec is a Python-based toolkit designed for learning high-quality word and ngram embeddings. It implements four distinct word embedding models and supports arbitrary context features, making it a versatile framework for NLP research. The toolkit features a decoupled architecture, which enhances readability, extensibility, and efficiency by allowing intermediate results to be reused. It can generate embeddings for various linguistic units, including text embeddings, and has achieved state-of-the-art results on several datasets. ngram2vec has been successfully applied in projects like Chinese-Word-Vectors, providing over 100 Chinese word embeddings. It supports both Python 2 and 3, along with numpy, scipy, and sparsesvd.
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