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Title

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Language Technologist

Description

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We are looking for a Language Technologist to join our team and contribute to the development and enhancement of language-based technologies. As a Language Technologist, you will work at the intersection of linguistics and computer science, helping to design, implement, and evaluate systems that process human language. Your role will involve working with natural language processing (NLP) tools, machine learning algorithms, and large datasets to improve the accuracy and efficiency of language technologies. You will collaborate with cross-functional teams including software engineers, data scientists, and product managers to create innovative solutions for language understanding, speech recognition, machine translation, and text analytics. Your expertise in computational linguistics will be essential in building language models, developing grammars, and refining algorithms that enable machines to understand and generate human language. The ideal candidate will have a strong background in linguistics, computer science, or a related field, with experience in programming and working with NLP frameworks. You should be comfortable analyzing linguistic data, developing rule-based and statistical models, and evaluating system performance. Familiarity with multiple languages and dialects is a plus, as is experience with speech technologies and corpus development. This position offers the opportunity to work on cutting-edge language technologies that impact millions of users worldwide. If you are passionate about language and technology and enjoy solving complex problems, we encourage you to apply.

Responsibilities

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  • Develop and implement natural language processing algorithms
  • Analyze linguistic data and create language models
  • Collaborate with engineers and data scientists on product development
  • Design grammars and rule-based systems for language processing
  • Evaluate and improve the performance of language technologies
  • Contribute to the development of speech recognition and synthesis systems
  • Maintain and expand linguistic resources and corpora
  • Support multilingual and cross-lingual technology initiatives
  • Document methodologies and maintain code repositories
  • Stay updated on advancements in computational linguistics and NLP

Requirements

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  • Bachelor’s or Master’s degree in Linguistics, Computer Science, or related field
  • Experience with NLP tools and frameworks (e.g., NLTK, spaCy, TensorFlow)
  • Proficiency in programming languages such as Python or Java
  • Strong understanding of syntax, semantics, and morphology
  • Ability to analyze and process large linguistic datasets
  • Familiarity with machine learning and statistical modeling
  • Excellent problem-solving and analytical skills
  • Strong written and verbal communication abilities
  • Experience with speech technologies is a plus
  • Knowledge of multiple languages or dialects is desirable

Potential interview questions

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  • What experience do you have with natural language processing tools?
  • Can you describe a project where you developed a language model?
  • How do you approach evaluating the performance of NLP systems?
  • What programming languages are you most comfortable with?
  • Have you worked with multilingual or cross-lingual datasets?
  • What is your experience with speech recognition or synthesis?
  • How do you stay current with developments in computational linguistics?
  • Can you explain a complex linguistic problem you solved using technology?
  • What role do you think linguistics plays in AI development?
  • Are you comfortable working in a collaborative, cross-functional team?