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The CTC decoder might perform worse when using multicharacter tokens (e.g., BPEs). This issue is mentioned in #173.
The reason is that the implementation sets
is_character_based
inScorer
tofalse
because the tokens in LM's dictionary have more than one character. Whenis_character_based
isfalse
theScorer
creates an FST based on malformed transitions (add_word_to_dictionary()
breaks the tokens/words in LM's dictionary to characters and not to tokens).This pull request adds an option
is_token_based
that indicates that the vocabulary consists of custom (multicharacter) tokens.