This project contains a detailed chronological encoder to decoder model built using simple machine learning algorithms for English to Igbo languages (machine translation problem). It also contains other NLP based projects.
# Natural-language-processing
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This project basically describes a detailed chronological encoder to decoder model built using
simple machine learning algorithms (random Forest) for English to Igbo languages (machine translation problem).
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Its an experimental work on the use of simple ML algorithms to perform sequence encoding and decoding of home domain
sentences from Igbo to English.
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