User:Francis Tyers/Perceptron

A perceptron is a classifier that

The classifier consists of:

• Binary features
• Weights

Example

Here is a worked example of a perceptron applied to the task of lexical selection. Lexical selection is the task of choosing a target translation t for a given source word s in a context C out of a set of possible translations T. A perceptron makes a classification decision for a single class, so we need to train a separate perceptron for each possible target word selection.

Training data

1:sec	season
1:de 2:el 3:any	season
1:de 2:tren	station
1:humit	season
1:de 2:televisió	station
1:de 2:línia	station
1:plujós	season
1:naval	station