Text-String Probability Function Training System

A Text-String Probability Function Training System is a Language Modeling System that implements a text-string probability function training algorithm to solve a text-string probability function training task.

• AKA: Text Probability Function Training System, String Probability Function Training System.
• Context:
  • It can range from being a Character-Level LM System, to being a Word-Level Language Modeling System, ...
  • It can range from being a MaxLikelihood-based LM System, a Neural-based LM System (such as an LSTM-based LM system), ...
• Example(s):
  • a Python-based Language Modeling System, ...
  • a IRSTLM - Free software for language modeling
  • a KenLM - Fast, Free software for language modeling
  • a MITLM - MIT Language Modeling (MITLM) toolkit
  • a OpenGrm NGram library - Free software for language modeling. Built on OpenFst.
  • a Positional Language Model
  • a RandLM - Free software for randomised language modeling
  • a VariKN - Free software for creating, growing and pruning Kneser-Ney smoothed n-gram models.
  • a SRILM -
• Counter-Example(s):
  • a Text-Item Vectorizing System.
  • a Text Chunking System.
  • a Heuristic Language Modeling System.
• See: Language Modeling Algorithm, Distributional Word Representation System.

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References

• http://aclweb.org/aclwiki/Language_modeling_software

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