Squibs and discussions

The DOP estimation method is biased and inconsistent

Mark Johnson*

*Corresponding author for this work

Research output: Contribution to journalArticle

29 Citations (Scopus)

Abstract

A data-oriented parsing or DOP model for statistical parsing associates fragments of linguistic representations with numerical weights, where these weights are estimated by normalizing the empirical frequency of each fragment in a training corpus (see Bod [1998] and references cited therein). This note observes that this estimation method is biased and inconsistent; that is, the estimated distribution does not in general converge on the true distribution as the size of the training corpus increases.

Original languageEnglish
Pages (from-to)71-76
Number of pages6
JournalComputational Linguistics
Volume28
Issue number1
DOIs
Publication statusPublished - Mar 2002
Externally publishedYes

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