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Part of Speech tagging is the process of assigning a part of speech tag to each word (token) in the sentence.
Identification of the parts of speech such as nouns, verbs, adjectives, adverbs for each word of the sentence helps in analyzing the role of each word (token) in a sentence. There are a number of approaches, such as rule-based, statistics based, transformation-based etc. which are used for POS tagging. Here we propose to use statistical approaches.

Input Output Specification:--

Input SSF to POS Tagger must have 3 system properties (ADDR_, TKN_, CAT_) defined for each of the nodes. Having the value of CAT_ is "unk" as unknown. It reads the TKN_ property and updates the CAT_ property by a valid POS Tag (CAT_).

Added on November 18, 2014


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  • Contributed by : ILMT Consortium, IIIT Hyd
  • Product Type : Linguistic Resources
  • License Type : Research
  • System Requirement : Linux
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