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Computational linguistics has become a highly valuable skillset as major tech firms like IBM, Apple, Facebook, Google, Intel, Lionbridge, Microsoft, Oracle, and numerous others look for professionals capable of creating products that use machine learning to interact with human speech. At its core, this field sits at the intersection of computer science, information technology, and linguistics: the specialized knowledge that employers seek in computational linguistics or natural language processing specialists typically can't be acquired through traditional computer science or linguistics programs alone.
This curriculum equips students pursuing careers in machine translation, machine learning, speech recognition technology, natural language processing, automated text generation, and AI with both knowledge of language structure and analytical linguistics skills, along with the programming expertise needed to build software that can interpret and produce human language.