Profession language engineer
Language engineers work within the field of computing science, and more specifically in the field of natural language processing. They aim to close the gap in translation between accurate human translations to machine-operated translators. They parse texts, compare and map translations, and improve the linguistics of translations through programming and code.
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Personality Type
- Investigative / Realistic
- Realistic / Investigative
Knowledge
- Algorithms
The self-contained step-by-step sets of operations that carry out calculations, data processing and automated reasoning, usually to solve problems.
- Engineering principles
The engineering elements like functionality, replicability, and costs in relation to the design and how they are applied in the completion of engineering projects.
- Engineering processes
The systematic approach to the development and maintenance of engineering systems.
- Task algorithmisation
The techniques to convert unstructured descriptions of a process into step-by-step sequence of actions of a finite number of steps.
- Project management
Understand project management and the activities which comprise this area. Know the variables implied in project management such as time, resources, requirements, deadlines, and responding to unexpected events.
- Computational linguistics
The computer science field that researches the modelling of natural languages into computational and programming languages.
- Principles of artificial intelligence
The artificial intelligence theories, applied principles, architectures and systems, such as intelligent agents, multi-agent systems, expert systems, rule-based systems, neural networks, ontologies and cognition theories.
- Natural language processing
The technologies which enable ICT devices to understand and interact with users through human language.
- Technical drawings
Drawing software and the various symbols, perspectives, units of measurement, notation systems, visual styles and page layouts used in technical drawings.
- Modern languages
All human languages still actively used today.
- Machine translation
The computing field that researches the use of software for translating text or speech from one language to another.
Skills
- Manage engineering project
Manage engineering project resources, budget, deadlines, and human resources, and plan schedules as well as any technical activities pertinent to the project.
- Develop code exploits
Create and test software exploits in a controlled environment to uncover and check system bugs or vulnerabilities.
- Interpret technical requirements
Analyse, understand and apply the information provided regarding technical conditions.
- Follow translation quality standards
Comply with agreed standards, such as the European standard EN 15038 and the ISO 17100, to ensure that requirements for language-service providers are met and to guarantee uniformity.
- Perform scientific research
Gain, correct or improve knowledge about phenomena by using scientific methods and techniques, based on empirical or measurable observations.
- Conduct ICT code review
Examine and review systematically computer source code to identify errors in any stage of development and to improve the overall software quality.
- Use technical drawing software
Create technical designs and technical drawings using specialised software.
- Evaluate translation technologies
Use technologies for translation and provide observations on their use for defined purposes.
- Define technical requirements
Specify technical properties of goods, materials, methods, processes, services, systems, software and functionalities by identifying and responding to the particular needs that are to be satisfied according to customer requirements.
- Apply statistical analysis techniques
Use models (descriptive or inferential statistics) and techniques (data mining or machine learning) for statistical analysis and ICT tools to analyse data, uncover correlations and forecast trends.