Computational Linguistics
Combining computer science and linguistics, computational linguistics professionals work to create natural language processing (NLP) systems that can understand and generate human language. From software development to data analysis, there are many opportunities in this fascinating field.
Computational Linguist
Computational Linguists create computer systems that deal with human language. They apply models of linguistic phenomena to develop technologies like speech recognition, text-to-speech synthesis, and automatic translation.
Soft Skills:
Problem-solving, communication, analytical thinking.
Hard Skills:
Knowledge of linguistics, proficiency in programming languages (Python, R), machine learning.
Personality Traits:
Innovative, curious, analytical.
Natural Language Processing (NLP) Engineer
NLP Engineers develop and implement algorithms that enable machines to understand human language. They often work on machine learning models for text classification, entity extraction, speech recognition, and more
Soft Skills:
Problem-solving, teamwork, communication.
Hard Skills:
Proficiency in NLP libraries (NLTK, SpaCy), machine learning, programming languages (Python, Java).
Personality Traits:
Innovative, detail-oriented, adaptable.
Speech Scientist
Speech Scientists design and develop algorithms and models for speech technologies. They work on areas such as speech recognition, synthesis, and enhancement.
Soft Skills:
Problem-solving, attention to detail, communication.
Hard Skills:
Knowledge of speech and audio signal processing, machine learning, proficiency in programming languages (Python, C++).
Personality Traits:
Curious, methodical, innovative.
Language Data Analyst
Language Data Analysts process and analyse language data to improve linguistic models used in AI and machine learning technologies. They also provide linguistic expertise and quality control for language-related projects.
Soft Skills:
Attention to detail, communication, analytical thinking.
Hard Skills:
Proficiency in data analysis tools, understanding of linguistic concepts, familiarity with programming languages (Python, R).
Personality Traits:
Detail-oriented, meticulous, organised.
Machine Translation Engineer
Machine Translation Engineers develop systems that automatically translate text from one language to another. They apply their knowledge of computational linguistics and machine learning to improve the quality of translation systems.
Soft Skills:
Problem-solving, communication, teamwork.
Hard Skills:
Knowledge of machine translation techniques, proficiency in programming languages (Python, C++), machine learning.
Personality Traits:
Innovative, curious, analytical.
