Amharic - Awngi Machine Translation
Experiment Using Statistical Approach
(Sprache: Englisch)
John McCarthy, widely recognized as one of the godfathers of AI, defined it as "the science and engineering of making intelligent machines." In 1959, Arthur Samuel, one of the pioneers of machine learning, defined machine learning as a "field of study that...
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John McCarthy, widely recognized as one of the godfathers of AI, defined it as "the science and engineering of making intelligent machines." In 1959, Arthur Samuel, one of the pioneers of machine learning, defined machine learning as a "field of study that gives computers the ability to learn without being explicitly programmed." Machine-learning programs, in a sense, adjust themselves in response to the data they're exposed to (like a child that is born knowing nothing adjusts its understanding of the world in response to experience). Nowadays, what 21st century digital technology generation need is computer system able to perform tasks that normally require human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages. Machine learning is a subset of AI, which is an umbrella term for any computer program that does something smart. Natural languages are those languages that are spoken by the people. It is difficult for an individual to know and understand all the languages of the world. Machine translation (MT) is the task of automatically translating a text from one natural language into another.
Autoren-Porträt von Habtamu Mekonnen Nega
Mekonnen Nega, HabtamuMr. Habtamu Mekonnen received his Bachelors of Science in information science from Jimma University and his master of science in computer science from University of Gondar. He is currently working in first generation university, University of Gondar, Ethiopia as lecturer in the faculty of informatics.
Bibliographische Angaben
- Autor: Habtamu Mekonnen Nega
- 2019, 68 Seiten, Maße: 22 cm, Kartoniert (TB), Englisch
- Verlag: LAP Lambert Academic Publishing
- ISBN-10: 6200439621
- ISBN-13: 9786200439628
Sprache:
Englisch
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