Confusion2Vec 2.0: Enriching ambiguous spoken language representations with subwords
Confusion2Vec 2.0: Enriching ambiguous spoken language representations with subwords
Word vector representations enable machines to encode human language for spoken language understanding and processing. Confusion2vec, motivated from human speech production and perception, is a word vector representation which encodes ambiguities present in human spoken language in addition to semantics and syntactic information. Confusion2vec provides a robust spoken language representation …