Lexical probabilities
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Publications (19)

1PartofSpeech Tagging in Context2004  Michele Banko,Robert C. Mooretraining that improves accuracy when training of lexical probabilities is unstable. Finally, we show how this new tagger...

2Tagging and Chunking with Bigrams(Figure 1) that combines different knowledge sources (lexical probabilities, LM for chunks and Contextual LM tbr the sentences)...

3Tagging with Hidden Markov Models Using Ambiguous Tagsdecomposed into a product of 2n probabilities, n lexical probabilities P (witi) (emission probabilities of the HMM) and...

4Handling Sparse Data by Successive Abstraction1996  Christer SamuelssonThe statistical language model usually consists of lexical probabilities, which determine the probability of a particular tag...

5Weakly Supervised Supertagging with GrammarInformed Initialization2008  Jason Baldridgeinformation is much more important for the former. Lexical probabilities handle most of the ambiguity for POS tagging, but...

6Estimation of Conditional Probabilities With Decision Trees and an Application to FineGrained POS Tagging2008  Helmut Schmid,Florian Lawsdefined as the product of context probabilities and lexical probabilities over all POS tags: p(tN1 , w N 1 ) = N∏ i=1 p(...

7Creating a FiniteState Parser with Application Semantics(obtained in the same manner as are the lexical probabilities). For the syntactic machine, we take each elementary...

8PartOfSpeech Tagging With Neural Networks1994  Helmut Schmidi , , , j : v(vo.,v I,,,o,.d,), ir i > o (s) 2 Lexical probabilities are estimated hy dividing, the number of times a...

9Translation QualityBased Supplementary Data Selection by Incremental Update of Translation Modelsthe source and target word counts (in addition to lexical probabilities). Once new lexical tables are created on the selected...

10Statistical Morphological Disambiguation for Agglutinative LanguagesUzzi Ornan, and Aton Itai. 1995. Learning morpholexical probabilities fl'om an untagged corpus with an application to Hetirew...