Tomas M·Oct 15Performance of n-gram filtering with PowerShell and C#BackgroundA response icon1A response icon1
Nahom Birhan·Sep 6The Textbook Fix That Made My Language Model 5× WorseBuilding an n-gram language model from scratch and seeing what smoothing actually doesA response icon1A response icon1
Mayank Gariya·Aug 23N-Grams in NLP: How Machines Learn Language One Word at a TimeHey folks, welcome back to another blog!
Noor Aftab·Jul 2Does Increasing N Improve Language Models? A Hands-On Comparison of Unigrams, Bigrams, and TrigramsNatural Language Processing (NLP) is behind many of the technologies we use every day, including autocomplete, predictive text, machine…
Rohit Gupta·May 28How AI Turned Words Into Mathematics: Sparse Vectors, TF-IDF, and the First Language Models (Part…In Part 1 of this series, we explored one of the deepest truths in AI:
Sae-Hwan Park·Mar 28How to Get a Good NLP Baseline When Small Cues MatterWhen a few short words decide the label, the baseline starts with reading the text, not with picking a fancier model.
Sonal Prasad·Mar 17Language Modeling with Neural NetworksFeel free to take a look at my previous article on basic (n-gram) language models here…
InTowards AIbyABHISHEK S M·Mar 15N-Grams and Markov Assumptions: The First Predictive Models of LanguageBefore language models could generate essays, answer questions, or imitate conversation, they had to solve a much smaller problem.
