This shows you the differences between two versions of the page.
| Next revision | Previous revision | ||
|
language_model_settings [2015/04/30 09:34] mganzeboom created |
language_model_settings [2015/04/30 10:13] (current) mganzeboom [Language model settings] |
||
|---|---|---|---|
| Line 2: | Line 2: | ||
| 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): | ||
| + | See also: http:// | ||
| ===== 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 < | * fail_cost (inside the text file defining the FSG): the threshold at which the recognition of a word fails and results in < | ||
| - | * lmi (used as parameter to spr_eval.py recognition): | ||
| ===== N-gram ===== | ===== N-gram ===== | ||