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find reciprocal exchanges of ideas and applications between terminologists and
information scientists: automated term extraction and indexing, cross-language
information retrieval (CLIR), and the development of applications supporting
fuzzy matching. We conclude with observations on emerging trends and challenges
that both fields of study are grappling with – the evolution of metrics,
the transition from authority to inclusion, the impact of disintermediation, the
development of semantic networks, and the move toward Big Data and Linked
Data – and offer some thoughts on the potential for further collaboration and
synergy between the two fields.
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Cited by (4)
Cited by 4 other publications
Mellinger, Christopher D.
2022. Quantitative questions on big data in translation studies. Meta 67:1 ► pp. 217 ff.
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