Language Modeling by Clustering with Word Embeddings for Text Readability Assessment

Miriam Cha, Youngjune Gwon, H. T. Kung

We present a clustering-based language model using word embeddings for text readability prediction. Presumably, an Euclidean semantic space hypothesis holds true for word embedding…