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Published byKory Gilbert Modified over 9 years ago
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CAREERS IN LINGUISTICS OUTSIDE OF ACADEMIA CAREERS IN INDUSTRY
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COMPANIES THAT HIRE LINGUISTS LEXICON BRANDING NUANCE COMMUNICATIONS GOOGLE MICROSOFT ETHNIC TECHNOLOGIES
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LEXICON BRANDING Main focus: brand naming Creates global brand names for high-tech, entertainment and consumer goods companies Utilizes specific methods and creates new methods to invent and identify names that have potential Creative work Evaluative work Research work Corpus linguistics
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CREATIVE WORK Individual or small group work Applies linguistic knowledge to create words with potential Works with morphology, phonology and metaphors in order to best represent a product
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EVALUATIVE WORK Cross-linguistic and cross-cultural evaluation of names Linguistic assets of potential names Name testing with consumers
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RESEARCH WORK Conveys the stories a word can tell Conveys what values the word holds
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NUANCE COMMUNICATIONS Main focus: the use of specific methods of dialogue and conversation to more easily interact with today’s complex technology Speech recognition Text to speech Natural language understanding
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EMPLOYMENT Linguistic work: Speech recognition and production Corpus annotation Grammar engineering Creates algorithms for syntax, semantics and pragmatics
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GOOGLE Linguistics at Google: Concentrates on understanding meanings of keywords Enhances algorithms in machine learning to create better reasoning based on spoken words together with their meaning Improves communication
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LINGUISTIC PROJECTS Natural language processing Text classification – Computational linguistics knowledge Speech analysis – Phonetic annotation knowledge Advertising department: linguists oversee algorithms in ad space – Structured and unstructured data knowledge
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Recommended Coursework Linguistic Theory Corpus linguistics Textual analysis Lexicography Programming (Java, Python, query languages) Data analysis and basic statistics Machine learning Project Management
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MICROSOFT Natural Language Processing Group Language Understanding Deconstructs language into its parts Classifies and categorizes to gather information Language Generation Creates language from non-linguistic data and semantic representations using various data input methods Creates descriptions of visible objects
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LINGUISTIC TASKS Constituency parsing Dependency parsing Semantic role labeling Named entity recognition Sentiment Analysis Semantic Analysis
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REQUIRED SKILLS Strong linguistic background Crowdsourcing Programming Statistics
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ETHNIC TECHNOLOGIES Focus: multicultural marketing Language and ethnicity Predicts ethnicity based on names and location
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LINGUISTIC KNOWLEDGE Specific languages Morphology and phonology Hypothesis testing
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SUPPLEMENTARY SKILLS Statistics Database experience Basic programming Analysis of large data sets
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