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AI-900: Accessing Wikipedia Pages: Services for Foreign Text Exploration

Discover how Translator Text and Language Detection services assist in accessing Wikipedia pages from foreign text. Explore the tools for seamless translation and language identification.

Table of Contents

Question

You have a foreign text. You want to get a Wikipedia page for the place mentioned in one of the sentences.

What services will you use to achieve your goal?

Please select all that apply.

A. Key Phrase Extraction
B. Sentiment Analysis
C. Translator Text
D. Language Detection
E. LUIS
F. Entity Recognition

Answer

C. Translator Text
F. Entity Recognition

Explanation

First, we need to translate the sentence or the text into English using the Translator Text service. Translator Text service provides a text-to-text translation between 60+ languages. You must provide information about translation languages (from and to) when you use Translator Text service.

Then we need to submit translated output to the Text Analytics Entity Recognition service. Entity Recognition service returns the list of entities. Because this service supports entity linking, it provides a link to Wikipedia for the identified locations.

Option A is incorrect because the Key Phrase Extraction helps extract the key phrases from the documents’ text and doesn’t provide text translation or entity extraction services.
Option B is incorrect because the Sentiment Analysis helps analyze text and return sentiment scores and doesn’t provide text translation or entity extraction services.
Option D is incorrect because the Language Detection helps detect the text’s language and doesn’t provide text translation or entity extraction services.
Option E is incorrect because the Language Understanding Intelligent Service (LUIS) helps understand voice or text commands and doesn’t provide text translation or entity extraction services.

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Microsoft Azure AI Fundamentals AI-900 certification exam practice question and answer (Q&A) dump