====== Language model settings ======

In SPRAAK you can use Finite State Grammars (FSGs) and N-gram language models. Both have a different set of settings when using them in the recognition process. Below an explanation of several settings as I used them:\\
\\
The parameters can be set by the following command on the interactive SPRAAK commandline (spr_cwr_main): ''search lmi cost_A cost_C''\\
See also: http://www.spraak.org/documentation/doxygen/doc/html/spr__cwr__main_8c.html

===== FSGs =====
For FSGs I used the following settings in recognition experiments:
  * fail_cost (inside the text file defining the FSG): the threshold at which the recognition of a word fails and results in <PARTIAL> tags. Increasing or decreasing this value (can also be negative) helps in removing the <PARTIAL> tags in the recognition results.

===== N-gram =====
For N-gram language models (e.g. bigram, trigram, etc.) I used the below settings in recognition experiments:
  * cost_C (in .ini config file for recognition experiment): word startup cost: cost that is added whenever a new word is started.
  * cost_A (in .ini config file for recognition experiment): scaling factor of the LM vs. the AM.
Also see: [[http://www.spraak.org/documentation/doxygen/doc/html/spr__lm__scale.html]] for detailed information on cost_C and cost_A.