Language Model Action Set

This example is not available for the Lua programming language.

This section contains Python code. For more information about coding in Python, see Getting Started with SAS Viya for Python and SAS Viya: System Programming Guide.

The following code shows how you can use the nGramCountToLm action to calculate probabilities of n-grams and generate a language model:

 s.langModel.nGramCountToLm(table  = {"name": "count_table"},
                            casOut = {"name": "langmodel_table"})

You need to modify values for the table and casOut parameters to fit the in-memory table of n-grams with count data and the output table, respectively, that you want to use.

The input of the nGramCountToLm action is the output of the nGramCount action. An example of a table that contains n-gram data is illustrated in Figure 11.

The output of the nGramCountToLm action contains three sections: probabilities, n-grams, and back-off weights. An example of the output is shown in Figure 12.

Figure 12: Sample Output Table

In this example, the first column contains the probabilities of n-grams. The next three columns contain various n-grams. The last column contains the back-off weights. The output table is the final language model that was trained.

This example is not available for the R programming language.