A) A field that combines linguistics and computer science to understand and model natural language.
B) The process of translating languages using computational algorithms.
C) A subfield of biology that analyzes genetic coding in organisms.
D) The study of how to program computers to understand human language.

A) Redundancy.
B) Ambiguity.
C) Data volume.
D) Syntax errors.

A) Decision trees.
B) Support vector machines.
C) Deep learning.
D) Genetic algorithms.

A) Project object storage.
B) Personalized output selection.
C) Part-of-speech tagging.
D) Position-orientation system.

A) To summarize a text document.
B) To automatically extract structured information from unstructured text.
C) To classify sentences into categories.
D) To perform machine translation.

A) JavaScript.
B) Python.
C) Java.
D) C++.

A) Decision trees.
B) Clustering.
C) Neural networks.
D) Support vector machines.

A) Sentiment analysis.
B) Text classification.
C) Syntactic analysis.
D) Machine translation.

A) To analyze the sentiment of a text.
B) To summarize text.
C) To generate new text based on existing content.
D) To automatically translate text from one language to another.

A) Genetic algorithms.
B) Neural networks.
C) Support vector machines.
D) Conditional random fields (CRFs).