<P> Therefore, one of the most promising trends in WSD research is using the largest corpus ever accessible, the World Wide Web, to acquire lexical information automatically . WSD has been traditionally understood as an intermediate language engineering technology which could improve applications such as information retrieval (IR). In this case, however, the reverse is also true: Web search engines implement simple and robust IR techniques that can be successfully used when mining the Web for information to be employed in WSD . Therefore, the lack of training data provoked appearing some new algorithms and techniques described here: </P> <P> Knowledge is a fundamental component of WSD . Knowledge sources provide data which are essential to associate senses with words . They can vary from corpora of texts, either unlabeled or annotated with word senses, to machine - readable dictionaries, thesauri, glossaries, ontologies, etc . They can be classified as follows: </P> <Ol> <Li> Machine - readable dictionaries (MRDs) </Li> <Li> Ontologies </Li> <Li> Thesauri </Li> </Ol> <Li> Machine - readable dictionaries (MRDs) </Li>

Which phrase is the best definition of the word technology in the narrow sense