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Open-Lexicon Language Modeling Combining Word and Character Levels
2014
2014 14th International Conference on Frontiers in Handwriting Recognition
In this paper we investigate different n-gram language models that are defined over an open lexicon. We introduce a character-level language model and combine it with a standard word-level language model in a backoff fashion. The character-level language model is redefined and renormalized to assign zero probability to words from a fixed vocabulary. Furthermore we present a way to interpolate language models created at the word and character levels. The computation of character-level
doi:10.1109/icfhr.2014.64
dblp:conf/icfhr/KozielskiMDSN14
fatcat:v2bi2jrtv5h7rcq5jdr4nvwqou