Difference between revisions of "Tagger"

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==Definition==
 
==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'').
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A '''tagger''' is a device which assigns symbolic labels (''tags'') to linguistics units. The labels are taken from a predefined set of symbols (the so-called ''tag-set'').
  
 
==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 tokens. But there are also taggers which have been designed to identify semantic roles of noun phrases or prepositional phrases ([[sense tagging]]), and sometimes identifying the structure of a text is considered as a kind 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.  
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It is common practice to distinguish between rule-based and stochastic taggers, though some taggers combine rules and stochastic information.  
 
   
 
   
State-of-the-art tagger achieve a precision of at least 95% for morpho-syntactic tagging.
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In general, state-of-the-art taggers achieve a precision of at least 95% for morpho-syntactic tagging.
  
 
==Subtypes==
 
==Subtypes==
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* German [[Tagger (de)]]
 
* German [[Tagger (de)]]
  
[[Category:De]]
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{{dc}}{{ref}}
[[Category:DICT]]
 
 
[[Category:Computational Linguistics]]
 
[[Category:Computational Linguistics]]

Latest revision as of 16:30, 27 July 2014

Definition

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

Comments

In most cases, a tagger assigns tags representing morpho-syntactic information to single word-forms or tokens. But there are also taggers which have been designed to identify semantic roles of noun phrases or prepositional phrases (sense tagging), and sometimes identifying the structure of a text is considered as a kind 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 taggers, though some taggers combine rules and stochastic information.

In general, state-of-the-art taggers achieve a precision of at least 95% for morpho-syntactic tagging.

Subtypes

Other Languages

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