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Language Technologist

Language technologists work at the intersection of linguistics, computer science, and engineering to develop and implement language-based technologies. They may also work with large datasets to create language models that can be used for tasks such as natural language processing (NLP), machine translation, and speech recognition.

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Language technologists work at the intersection of linguistics, computer science, and engineering to develop and implement language-based technologies. They may also work with large datasets to create language models that can be used for tasks such as natural language processing (NLP), machine translation, and speech recognition.

What Language Technologists Do

Language technologists may work on a variety of projects, including:

  • Developing new language technologies, such as NLP tools, machine translation systems, and speech recognition systems
  • Improving the performance of existing language technologies
  • Creating language resources, such as corpora and dictionaries
  • Conducting research on language and language technology
  • Teaching language technology courses

Language technologists may work in a variety of settings, including:

  • Academia
  • Government
  • Industry
  • Nonprofit organizations

How to Become a Language Technologist

There are a number of different paths to becoming a language technologist. Some language technologists have a background in linguistics, computer science, or engineering. Others have a background in a related field, such as data science or information technology. Most language technologists have a master's degree or PhD in linguistics, computer science, or a related field.

There are a number of online courses that can help you learn the skills needed to become a language technologist. These courses cover topics such as NLP, machine translation, and speech recognition. Online courses can be a great way to learn about the field and to prepare for a career in language technology.

What Skills Do Language Technologists Need?

Language technologists need a strong foundation in linguistics, computer science, and engineering. They also need to have a strong understanding of data science and machine learning. In addition, language technologists need to have excellent communication and interpersonal skills.

Some of the specific skills that language technologists need include:

  • Programming skills
  • Data analysis skills
  • Machine learning skills
  • Linguistic skills
  • Communication skills
  • Interpersonal skills

What Is the Job Outlook for Language Technologists?

The job outlook for language technologists is expected to be good in the coming years. The demand for language technologies is growing as businesses and organizations increasingly rely on data to make decisions. Language technologists are needed to develop and implement these technologies.

According to the U.S. Bureau of Labor Statistics, the median annual salary for language technologists was $110,480 in May 2021. The lowest 10 percent earned less than $63,430, and the highest 10 percent earned more than $170,910.

What Are the Challenges of Being a Language Technologist?

One of the challenges of being a language technologist is the constantly changing nature of the field. New technologies are being developed all the time, and language technologists need to be able to keep up with the latest developments. Another challenge is the need to work with a variety of people, including linguists, computer scientists, and engineers. Language technologists need to be able to communicate effectively with people from all backgrounds.

What Are the Rewards of Being a Language Technologist?

There are a number of rewards to being a language technologist. One of the most rewarding aspects of the job is the opportunity to work on projects that have a real impact on the world. Language technologies can be used to improve communication, education, and healthcare. Another rewarding aspect of the job is the opportunity to work with a variety of people from different backgrounds. Language technologists get to learn about different cultures and languages, and they get to work on projects that make a difference in the world.

Is an Online Course Enough to Prepare Me for a Career as a Language Technologist?

Online courses can be a great way to learn about the field of language technology and to prepare for a career in the field. However, online courses alone are not enough to prepare you for a career as a language technologist. You will also need to have a strong foundation in linguistics, computer science, and engineering. You can gain this foundation through a combination of coursework, research, and hands-on experience.

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Salaries for Language Technologist

City
Median
New York
$199,000
San Francisco
$132,000
Seattle
$142,000
See all salaries
City
Median
New York
$199,000
San Francisco
$132,000
Seattle
$142,000
Austin
$108,000
Toronto
$125,000
London
£83,000
Paris
€61,000
Berlin
€84,000
Tel Aviv
₪481,000
Beijing
¥410,000
Shanghai
¥304,000
Bengalaru
₹540,000
Delhi
₹260,000
Bars indicate relevance. All salaries presented are estimates. Completion of this course does not guarantee or imply job placement or career outcomes.

Path to Language Technologist

Take the first step.
We've curated two courses to help you on your path to Language Technologist. Use these to develop your skills, build background knowledge, and put what you learn to practice.
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Reading list

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This classic work by renowned linguist M.A.K. Halliday provides a theoretical framework for terminology management. It valuable resource for anyone who is interested in understanding the foundations of this field.
This handbook provides a comprehensive overview of the field of terminology, covering topics such as the history of terminology, the different types of terminology, and the use of terminology in different domains. It valuable resource for students and researchers in the field.
Provides a comprehensive overview of terminology management in the context of the public sector. It valuable resource for anyone who is interested in learning more about this field.
Provides a comprehensive overview of terminology management in the context of the business industry. It valuable resource for anyone who is interested in learning more about this field.
Provides a comprehensive overview of terminology management in the context of multilingual communication. It valuable resource for anyone who is interested in learning more about this field.
Provides a comprehensive overview of the field of terminology, including its history, theory, and practice. It valuable resource for students and researchers in the field.
Provides a comprehensive guide to terminology management for translators. It covers topics such as terminology research, management, and dissemination, as well as the use of terminology tools and resources. This practical resource for translators looking to improve their terminology management skills.
Is an introductory textbook that provides a comprehensive overview of terminology management. It covers topics such as terminology principles, methods, and tools. This is an excellent resource for students and practitioners who are new to the field.
Provides a comprehensive overview of terminology management for language and communication science. It covers topics such as the role of terminology in language and communication, the development of terminology standards, and the use of terminology tools and resources. This is an excellent resource for researchers and practitioners who are interested in terminology management in the field of language and communication science.
Explores the relationship between terminology and ontologies, discussing how terminology can be used to create and manage ontologies. It valuable resource for researchers in the field.
Explores the relationship between terminology and lexicography, discussing the different approaches to creating and managing terminologies and lexicons. It valuable resource for researchers in the field.
Explores the relationship between terminology and knowledge engineering, discussing how terminology can be used to represent and manage knowledge. It valuable resource for researchers in the field.
Explores the relationship between terminology and translation, discussing the challenges and opportunities of working with terminology in a translation context. It is written in French.
Collection of papers on specialized translation and terminology management. It covers topics such as the role of terminology in specialized translation, the use of terminology tools, and the training of specialized translators. This is an excellent resource for translators and researchers interested in specialized translation.
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