ITEMInformation Transmission Evolution MapA visual history of human information
Person

Frederick Jelinek

Frederick Jelinek was a computer scientist who advanced statistical approaches to speech recognition and language processing at IBM and Johns Hopkins University.

Period
1997
Known for
Statistical speech recognition
Historical contribution

What Jelinek contributed

He helped replace heavily hand-written linguistic rules with probabilistic models trained from data, including hidden Markov and language-model methods used in speech recognition.

Why it mattered

The statistical turn made speech systems more scalable and influenced later data-driven natural-language processing.

Connected topics

Where this fits in ITEM

Generative Language Models
Evidence

Sources and further reading

  1. Statistical Methods for Speech Recognition

    Frederick Jelinek · 1997