Term Recycling Task
(Redirected from Terminology Recycling Task)
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A Term Recycling Task is that Term Preprocessing Task that allows the recycling of a term into grammar rules.
- AKA: Terminology Recycling Task.
- Context:
- It can be solved by a Term Recycling System that implements a Term Recycling Algorithm.
- It can be part of a Term Extraction Task.
- Example(s):
- Counter-Example(s):
- See: Parsing Task, Technical Term Repository, Natural Language Processing Task, Morphological Analysis, Syntactic Analysis, Word Sense Disambiguation.
References
2001
- (Jacquemin, 2001) ⇒ Christian Jacquemin. (2001). “Spotting and Discovering Terms Through Natural Language Processing." MIT Press. ISBN:0262100851
- QUOTE: Analysis in FASTR is organized according to the traditional stratified scheme of NLP applications: a morphological step followed by a syntactic step (Alshawi 1992). In addition two new components are necessary for dealing with term extraction: (1) a term preprocessor that allows for the recycling of terms into the grammar and (2) a term variant generator that enriches the term grammar by transforming term rules into term variant rules through the application of metarules. The data flow in FASTR is described by figure 3.7.
- QUOTE: Analysis in FASTR is organized according to the traditional stratified scheme of NLP applications: a morphological step followed by a syntactic step (Alshawi 1992). In addition two new components are necessary for dealing with term extraction: (1) a term preprocessor that allows for the recycling of terms into the grammar and (2) a term variant generator that enriches the term grammar by transforming term rules into term variant rules through the application of metarules. The data flow in FASTR is described by figure 3.7.
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- Term recycling: Terminological data are lexical database that can be used to build electronic dictionaries for the purpose of natural language processing. Term recycling is the transformation and the exploitation of such a term base in natural language processing.