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# QuerySpeechLanguageModel

The `QuerySpeechLanguageModel` action takes one or more words and returns whether those words are present in the vocabulary (produced from a combination of a base language pack and an optional custom language model).

If a word is not present in the vocabulary then it is never returned during speech-to-text, and you might be able to improve accuracy by training a custom language model.

Type: synchronous

Parameter | Description | Required
--- | --- | ---
`CustomLanguageModel` | The name and interpolation weight of a custom language model to use to supplement the base language pack. Separate the name and interpolation weight with a colon (`:`). | No
`LanguagePack` | The base language pack. | Yes
`Words` | A comma-separated list of words to test. | Yes

## Example

The following example checks whether the words `magnetic`, `resonance`, and `imaging` are in the vocabulary when you use the `ENUS` language pack and a custom language model named `MedicalTerms` with an interpolation weight of `0.1`.

    /action=QuerySpeechLanguageModel&LanguagePack=ENUS
                                    &CustomLanguageModel=MedicalTerms:0.1
                                    &Words=magnetic,resonance,imaging

## Response

The following XML is an example response.

    <autnresponse>
      <action>QUERYSPEECHLANGUAGEMODEL</action>
      <response>SUCCESS</response>
      <responsedata>
        <queryWord>
          <word>magnetic</word>
          <exists>True</exists>
          <rankPercentile>82</rankPercentile>
          <occurrencesPerMillion>4.9</occurrencesPerMillion>
        </queryWord>
        <queryWord>
          <word>resonance</word>
          <exists>True</exists>
          <rankPercentile>64</rankPercentile>
          <occurrencesPerMillion>1.7</occurrencesPerMillion>
        </queryWord>
        ...
      </responsedata>
    </autnresponse>

The response includes a `queryWord` element for each of the input words.

- The `exists` element specifies whether the word exists in the vocabulary. If this element has a value of `false` you might be able to improve the speech-to-text accuracy by training a custom language model that includes the missing word.
- The `rankPercentile` element (present only when the word exists) indicates how likely the word is to appear relative to other words. The most common one percent of words have a `rankPercentile` value of 100 (so a greater value indicates a more common word).
- The `occurrencesPerMillion` element (present only when the word exists) shows the number of times that the word is expected to occur in one million words.

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