An unsupervised, entropy-guided, parsimonious segmentation method that beats BPE, unigram LM, and Morfessor on morphological gold standards and modestly improves word embeddings and language modeling.
Semr-11: A multi-lingual gold-standard for semantic similarity and relatedness for eleven languages
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Parsimonious Morpheme Segmentation with an Application to Enriching Word Embeddings
An unsupervised, entropy-guided, parsimonious segmentation method that beats BPE, unigram LM, and Morfessor on morphological gold standards and modestly improves word embeddings and language modeling.