Difference between revisions of "Tagger"

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==Comments==
 
==Comments==
In most cases, a tagger assigns tags representing morpho-syntactic information to single word-forms or token. But there are tagger which have been designed to identify semantic role of noun phrases or prepositional phrases (''sense tagging'') and sometimes identiying the discourse structure of a text is considered as a king of tagging.
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In most cases, a tagger assigns tags representing morpho-syntactic information to single word-forms or token. But there are tagger which have been designed to identify semantic role of noun phrases or prepositional phrases ([[sense tagging]]) and sometimes identifying the structure of a text is considered as a king of tagging ([[discourse structure tagging]]).
  
Conceptually, tagging can be considered as a three step process: (i). identification of the relevant units (ii). assigning all possible labels to the units (e.g. by lexical look-up, applying heuristics, etc.) (iii). disambiguation.
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Conceptually, tagging can be considered as a three step process: (i). identification of the relevant units (ii). assigning all possible labels (e.g. by lexical look-up, applying heuristics, etc.) (iii). disambiguation.
  
 
It is common practice to distinguish between rule-based and stochastic tagger, though some tagger combine rules and stochastic information.  
 
It is common practice to distinguish between rule-based and stochastic tagger, though some tagger combine rules and stochastic information.  

Revision as of 18:25, 6 July 2007

Definition

A tagger is a device which assigns symbolic labels (tags) to linguistics units. The labels are taken from a predefined set of symbols (tag-set).

Comments

In most cases, a tagger assigns tags representing morpho-syntactic information to single word-forms or token. But there are tagger which have been designed to identify semantic role of noun phrases or prepositional phrases (sense tagging) and sometimes identifying the structure of a text is considered as a king of tagging (discourse structure tagging).

Conceptually, tagging can be considered as a three step process: (i). identification of the relevant units (ii). assigning all possible labels (e.g. by lexical look-up, applying heuristics, etc.) (iii). disambiguation.

It is common practice to distinguish between rule-based and stochastic tagger, though some tagger combine rules and stochastic information.

State-of-the-art tagger achieve a precision of at least 95% for morpho-syntactic tagging.

Subtypes

Other Languages