Question 2: Which two types of data inputs can natural language processing (NLP) workloads handle?
A. A static BMP file
B. An audio stream
C. A static PNG file
D. A text document
Answer (2)
Natural Language Processing (NLP) can handle data inputs such as an audio stream and a text document. Audio streams involve converting spoken language into text, while text documents are directly analyzed for language processing. Therefore, the correct answers are B (An audio stream) and D (A text document).
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Natural Language Processing (NLP) is a field of Artificial Intelligence (AI) that focuses on the interaction between computers and humans through natural language. The goal of NLP is to read, decipher, understand, and make sense of human languages in a manner that is valuable.
NLP can handle various types of data inputs, and among the options provided in the question, the most relevant types are:
(B) An audio stream
NLP systems can process spoken words from audio streams. These systems convert spoken language into text through speech recognition before performing further processing, such as understanding or generating natural language responses. This ability is essential for applications like voice-activated assistants, automated transcription services, and real-time language translation.
(D) A text document
NLP can directly analyze and process written text documents. This includes tasks like sentiment analysis, named entity recognition, language translation, and summarization. Text documents provide structured or unstructured data that NLP algorithms can process to extract meaningful information.
Options (A) A static BMP file and (C) A static PNG file are not relevant as these are bitmap and image file formats, respectively, that are not typically used for NLP tasks. Images might be processed in other AI fields, such as computer vision, but they do not inherently contain natural language data for NLP processing.
Therefore, the correct responses are (B) an audio stream and (D) a text document.
