A) The study of how to program computers to understand human language. B) A field that combines linguistics and computer science to understand and model natural language. C) A subfield of biology that analyzes genetic coding in organisms. D) The process of translating languages using computational algorithms.
A) Syntax errors. B) Ambiguity. C) Data volume. D) Redundancy.
A) Genetic algorithms. B) Decision trees. C) Deep learning. D) Support vector machines.
A) Part-of-speech tagging. B) Project object storage. C) Position-orientation system. D) Personalized output selection.
A) Sentiment analysis. B) Text classification. C) Machine translation. D) Syntactic analysis.
A) Neural networks. B) Support vector machines. C) Decision trees. D) Clustering.
A) To automatically translate text from one language to another. B) To generate new text based on existing content. C) To analyze the sentiment of a text. D) To summarize text.
A) Conditional random fields (CRFs). B) Neural networks. C) Genetic algorithms. D) Support vector machines.
A) To classify sentences into categories. B) To perform machine translation. C) To automatically extract structured information from unstructured text. D) To summarize a text document.
A) Python. B) JavaScript. C) Java. D) C++. |