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 | + | 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. | 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 | + | 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 | + | In general, state-of-the-art taggers achieve a precision of at least 95% for morpho-syntactic tagging. |
==Subtypes== | ==Subtypes== | ||
Revision as of 11:29, 8 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 (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
- German Tagger (de)
