Topic: "ngram-models"
vgherard/sbo
Utilities for training and evaluating text predictors based on Stupid Back-off N-gram models.
Language: R - Size: 24.1 MB - Last synced at: about 1 month ago - Pushed at: almost 4 years ago - Stars: 10 - Forks: 2
fquirin/kaldi-adapt-lm Fork of gooofy/kaldi-adapt-lm
Create and adapt n-gram and JSGF language models, e.g. for Kaldi-ASR nnet3 chain models from Zamia-Speech
Language: Python - Size: 98.6 KB - Last synced at: 12 months ago - Pushed at: almost 2 years ago - Stars: 6 - Forks: 2
afiliot/Text-Generation
NLP project on Language Modelling - ENSAE ParisTech
Language: Jupyter Notebook - Size: 24.7 MB - Last synced at: about 2 years ago - Pushed at: almost 6 years ago - Stars: 1 - Forks: 0
roverbird/nbd-technical-analysis
Modeling trading data using the Negative Binomial Distribution (NBD)
Language: Python - Size: 2.03 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0
luisteran5296/Predictive-text-modeling
Predictive texting is a data processed tool that makes it quicker and easier to write text by suggesting words as you type. The tool will read the text inside the text input area and predict the three most suitable options. After the prediction is made, the options are displayed as buttons. The user can press the button to insert text, the tool is intended to simulate text word predictor in smartphones.
Language: HTML - Size: 52.4 MB - Last synced at: 5 days ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0
