Tootfinder

Building on the 90s, statistical n-gram language models, trained on vast text collections, became the backbone of NLP research. They fueled advancements in nearly all NLP techniques of the era, laying the groundwork for today's AI.
F. Jelinek (1997), Statistical Methods for Speech Recognition, MIT Press, Cambridge, MA
#NLP

In our #ISE2025 lecture last Wednesday, we learned how in n-gram language models via Markov assumption and maximum likelihood estimation we can predict the probability of the occurrence of a word given a specific context (i.e. n words previous in the sequence of words).
#NLP

#Python Friday #284: Basic Text-to-Speech With Google Translate #ai #nlp

#284: Basic Text-to-Speech With Google Translate - Python Friday
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#Python Friday #281: Language Detection in Python - #ai #nlp

#281: Language Detection in Python - Python Friday
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