WOPR is a wrapper around the k-nearest neighbor classifier in TiMBL, offering word prediction and language modeling functionalities. Trained on a text corpus, WOPR can predict missing words, report perplexities at the word level and the text level, and generate spelling correction hypotheses. Read more about WOPR in the reference guide offering installation instructions, walkthroughs, basic performance measurements (including a comparison to SRILM), and an overview of options.
Extracted automatically from Wopr homepage
brew install wopr
The following 2 dependencies will be installed if you install Wopr: