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

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

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

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

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

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

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

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

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

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