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

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

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

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

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

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

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

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

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

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