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Computational linguistics involves the application of computational methods to the analysis and understanding of language data. It combines elements of computer science, linguistics, and statistics to develop models and algorithms for processing, analyzing, and generating natural language text. Research in this area includes tasks such as machine translation, sentiment analysis, information extraction, and question answering. In the context of life sciences, computational linguistics can be used to analyze and interpret large volumes of text data from scientific literature, clinical records, and genomic sequences. It can help researchers identify patterns and trends, make predictions, and generate hypotheses based on the data. As such, computational linguistics plays a crucial role in advancing our understanding of biological systems and diseases, and in developing new tools and technologies for biomedical research and healthcare.