Text-String Probability Function Training Task

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A Text-String Probability Function Training Task is a probability function generation task that requires the creation of a text-string probability function structure.



References

2013

  • (Collins, 2013a) ⇒ Michael Collins. (2013). “Chapter 1 - Language Modeling." Course notes for NLP by Michael Collins, Columbia University.
    • QUOTE: Definition 1 (Language Model) A language model consists of a finite set [math]\displaystyle{ \mathcal{V} }[/math], and afunction [math]\displaystyle{ p(x_1, x_2, ... x_n) }[/math] such that:
      1. For any [math]\displaystyle{ \lt x_1 ... x_n\gt \in \mathcal{V}^{\dagger}, p(x_1,x_2,... x_n) \ge 0 }[/math]
      2. In addition, [math]\displaystyle{ \Sigma_{\lt x_1 ... x+n\gt } \in \mathcal{V}^{\dagger} p(x1; x2, ... xn) = 1 }[/math]
    • Hence [math]\displaystyle{ p(x_1,x_2,... x_n) }[/math] is a probability distribution over the sentences in [math]\displaystyle{ \mathcal{V}^{\dagger} }[/math].

2003

2001