Custom language model and alternatives to recognized sentences?

[othiele (Olaf Thiele)]

Try this for kenlm, it worked for @Andreea_Georgiana_Sarca and set order to 0

Generating own scorer file

How I fixed my problem: path/to/lmplz --order 5 --temp_prefix tmp --memory 50% --text vocab.txt --arpa words.arpa --prune 0 0 1 Then: path/to/build_binary -a 255 -q 8 -v trie words.arpa lm.binary Now make sure you are in lm directory and: python generate_package.py --alphabet path/alphabet.txt --lm path/lm.binary --vocab path/vocab.txt --default_alpha 0.75 --default_beta 1.85 --package kenlm.scorer