Ace the AI-900 exam! Discover how Azure AI Language’s detection feature uses ISO standards to identify the script and code of text. Get the answer now!
Table of Contents
Question
Which of the following is an output you could receive when using the language detection feature in an NLP workload on Azure?
A. An audio file with speech in a specific language
B). The sentiment expressed in a block of text in any language
C. Bounding boxes that indicate text objects in road signs
D. Script name and code as per a matching ISO standard
Answer
D. Script name and code as per a matching ISO standard
Explanation
The language detection feature in an NLP workload on Azure outputs the script name and code as per a matching ISO standard. Language detection in Azure AI Language offers script detection for specific languages. This means it can identify the writing system used (e.g., Cyrillic, Latin) and return the corresponding details according to the ISO 15924 standard. This standard specifically defines codes for different writing systems used in various languages. Azure AI Language has some key functionalities which include:
- Detects over 100 languages in their primary script, based on the ISO 639-1 standard.
- Offers script detection for a subset of languages, identifying the writing system used (e.g., Cyrillic, Latin). This adheres to the ISO 15924 standard.
- Returns various details about the detected language:
- ISO 639-1 name: A unique language code, e.g., eng for English, spa for Spanish.
- Human-readable name: The language name in plain English (e.g., English, Spanish).
- Confidence score: A value indicating the model’s certainty about the detection (0 to 1, higher is more confident).
- Script name: The writing system used (optional, available for specific languages), e.g., Cyrillic.
- Script code: The script code according to ISO 15924 (optional, available for specific languages), e.g., Cyrl for Cyrillic.
The language detection feature does not output bounding boxes that indicate text objects in road signs. This task is not related to language detection but falls under object detection in computer vision tasks.
The language detection feature does not output an audio file with speech in a specific language. Language detection works with written text, not audio data. Identifying the language of spoken content would require a speech recognition feature.
The language detection feature does not output the sentiment expressed in a block of text in any language. This describes the sentiment analysis feature, which is separate from language detection and focuses on understanding emotional tone (positive, negative, neutral) in text.
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