# Score Text/Multiple choice

{% hint style="info" %}
**Run in Postman:** [Score a Multiple Choice Text](https://docs.speechace.com/#c916e0af-af9f-484a-a0dd-e9672c72e3a1)
{% endhint %}

In this example, we will match the test-taker's utterance to the closest option provided in the Multiple Choice Question and evaluate the pronunciation of the spoken word or sentence. For instance, if the multiple-choice options are:

* Apple
* Banana
* Orange

The test-taker’s response will be scored based on how closely it matches one of these options, and the pronunciation of the spoken word or sentence will be assessed for accuracy.

The request parameters which you can see in the cURL below are the same as in [Score Text/Pronunciation](/api-reference/score-text-pronunciation.md). Note that the options {Apple, Banana and Orange} are specified in the **text** field and are separated by newline characters (or \n).

{% tabs %}
{% tab title="cURL" %}
{% code overflow="wrap" lineNumbers="true" %}

```curl
curl --location -g 'https://api.speechace.co/api/scoring/text/v9/json?key={{speechacekey}}&dialect=en-us' \
--form 'text="\"apple
orange
banana\""'
--form 'user_audio_file=@"orang_16k.wav"'
```

{% endcode %}
{% endtab %}
{% endtabs %}

In the above cURL, the audio file is matched to the closest choice, which is "Orange." Therefore, the response evaluates the pronunciation of the word "Orange":

```json
{
  "status": "success",
  "quota_remaining": -1,
  "text_score": {
    "text": "orange",
    "word_score_list": [
      {
        "word": "orange",
        "quality_score": 77,
        "phone_score_list": [
          {
            "phone": "ao",
            "stress_level": 1,
            "extent": [
              79,
              87
            ],
            "quality_score": 99.625,
            "stress_score": 100,
            "sound_most_like": "ao"
          },
          {
            "phone": "r",
            "stress_level": null,
            "extent": [
              87,
              96
            ],
            "quality_score": 96,
            "sound_most_like": "r"
          },
          {
            "phone": "ih",
            "stress_level": 0,
            "extent": [
              96,
              105
            ],
            "quality_score": 60.33333333333334,
            "stress_score": 100,
            "sound_most_like": "ah"
          },
          {
            "phone": "n",
            "stress_level": null,
            "extent": [
              105,
              117
            ],
            "quality_score": 65.08333333333334,
            "sound_most_like": "ng"
          },
          {
            "phone": "jh",
            "stress_level": null,
            "extent": [
              117,
              129
            ],
            "quality_score": 61.5,
            "sound_most_like": "g",
            "child_phones": [
              {
                "extent": [
                  117,
                  126
                ],
                "quality_score": 70.33333333333333,
                "sound_most_like": "k"
              },
              {
                "extent": [
                  126,
                  129
                ],
                "quality_score": 35,
                "sound_most_like": "ng"
              }
            ]
          }
        ],
        "syllable_score_list": [
          {
            "phone_count": 2,
            "stress_level": 1,
            "letters": "or",
            "quality_score": 98,
            "stress_score": 100,
            "extent": [
              79,
              96
            ]
          },
          {
            "phone_count": 3,
            "stress_level": 0,
            "letters": "ange",
            "quality_score": 62,
            "stress_score": 100,
            "extent": [
              96,
              129
            ]
          }
        ]
      }
    ],
    "speechace_score": {
      "pronunciation": 77
    }
  },
  "version": "9.0"
}
```


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://api-docs.speechace.com/api-reference/score-text-multiple-choice.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.