A) The process of translating languages using computational algorithms.
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 study of how to program computers to understand human language.

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

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

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

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

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

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

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

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

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