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language_model_settings [2015/04/30 09:34]
mganzeboom created
language_model_settings [2015/04/30 10:13] (current)
mganzeboom [Language model settings]
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 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:\\ 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 ===== ===== FSGs =====
 For FSGs I used the following settings in recognition experiments: 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.   * 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.
-  * lmi (used as parameter to spr_eval.py recognition): ? 
  
 ===== N-gram ===== ===== N-gram =====
language_model_settings.1430379271.txt.gz ยท Last modified: 2015/04/30 09:34 by mganzeboom