Language Detection Output
Question
You are tasked to use the Language Detection feature of Text Analytics in Azure.
You provide the JSON inputs and receive two outputs, as given in code snippets below.
The first output (Output 1) provides a confidence score of 1, whereas the second output (Output 2) returns a confidence score of 0
Review the scenario given above and complete the following code snippets.
(Choose two options) Output 1:
"documents":[ { "detectedLanguage":{ "confidenceScore":1.0, "iso6391Name":"fr", "name":"......................................" }, "id":"1", "warnings":[ ] } ] Output 2: "documents":[ { "detectedLanguage":{ "confidenceScore":0.0, "iso6391Name":"(Unknown)", "name":"..................................." }, "id":"1", "warnings":[ ] } ]
Answers
Explanations
Click on the arrows to vote for the correct answer
A. B. C. D.Correct Answers: B and D.
Option A is incorrect because fr is iso code for the french language.
The name of the language is French.
Option B is correct.
Since the confidence score for iso code “fr” is 1, the French language is returned as the name.
Here is the completed code for Output 1.
<pre>"documents":[
{
"detectedLanguage":{
"confidenceScore":1.0,
"iso6391Name":"fr",
"name":"French"
},
"id":"1",
"warnings":[]
}
]
</pre>
Option C is incorrect because countryHint provides the hint for a region or country in case of an ambiguity in the language or if there are mixed languages in a sentence.
Option D is correct.
Since the confidence score is 0, language is unknown.
Here is the completed code for Output 2.
<pre>"documents":[
{
"detectedLanguage":{
"confidenceScore":0.0,
"iso6391Name":"(Unknown)",
"name":"(Unknown)"
},
"id":"1",
"warnings":[]
}
]
</pre>
Reference:
To learn more about language detection, use the link given below:
The scenario describes the use of the Language Detection feature of Text Analytics in Azure. The Text Analytics API analyzes text and returns information about the content, including the language of the text.
Two outputs have been provided, each corresponding to the analysis of a single document. The first output (Output 1) indicates that the detected language of the text is French, with a confidence score of 1.0. The second output (Output 2) indicates that the detected language is unknown, with a confidence score of 0.0.
Based on this information, we can answer the following questions:
What is the detected language in Output 1? Answer: A. fr (the iso6391Name for French language)
What is the detected language in Output 2? Answer: D. (Unknown)
The options provided in the question are: A. fr B. French C. countryHint D. (Unknown)
Option A (fr) corresponds to the iso6391Name for the French language. This value is provided in Output 1, indicating that the detected language is French with a confidence score of 1.0.
Option B (French) is not explicitly provided in the outputs but can be inferred based on the iso6391Name value in Output 1 (which corresponds to the French language).
Option C (countryHint) is not relevant to the question at hand, as it is used to provide a hint to the API about the expected language of the text.
Option D ((Unknown)) corresponds to the iso6391Name value in Output 2, indicating that the detected language is unknown with a confidence score of 0.0.
In summary, the Language Detection feature of Text Analytics in Azure can detect the language of a given text with a certain level of confidence. In the case of the two outputs provided in the question, one document was detected as being in French with a high level of confidence (Output 1), while the language of the other document could not be determined with confidence (Output 2).
