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This paper presents a methodology (including a detailed algorithm, various development concepts and measures, and stopword lists) for measuring the development of domains and keyphrases along years. The examined corpus contains 1020 articles that were accepted for full presentation in PACLIC along the last 18 years. The experimental results for 5 chosen domains (digital humanities, language resources, machine translation, sentiment analysis and opinion mining, and social media) suggest that development trends of domains and keyphrases can be efficiently measured. Top bigrams and trigrams were found as efficient to identify general trends in NLP domains.

Development of Domains and Keyphrases along Years