Topic: AI-900 topic 1 question 224

You have a solution that reads manuscripts in different languages and categorizes the manuscripts based on topic.

Which types of natural language processing (NLP) workloads does the solution use?

A.
speech recognition and entity recognition
B.
speech recognition and language modeling
C.
translation and key phrase extraction
D.
translation and sentiment analysis

Re: AI-900 topic 1 question 224

Here is the answer quoted from MS Copilot:
"The solution you described involves reading manuscripts in different languages and categorizing them based on topic. This would primarily involve:
1. Translation: To convert the content of the manuscripts from various languages to a language the model can understand.
2. Key Phrase Extraction: To identify and extract the main topics or themes from the manuscript content.
So, the correct answer is C. translation and key phrase extraction. Please note that depending on the specific requirements of the solution, other NLP tasks could also be relevant. For example, entity recognition could be used to identify specific entities within the text, and sentiment analysis could be used to understand the tone or sentiment of the manuscript. However, based on the information provided, translation and key phrase extraction are the most directly relevant tasks."

Re: AI-900 topic 1 question 224

B. Speech Recognition and language service.

Re: AI-900 topic 1 question 224

speech recognition would be required only if we were dealing with audio input.

Re: AI-900 topic 1 question 224

Answer is correct