Program type:


On Campus
Est. time to complete:

2-3 Semesters
Credit Hours:

Enhance your degree and harness innovative ways to use intelligent technology and solve information processing challenges with AI.
Human Computer Technology is an evolving interdisciplinary field that includes computational linguistics, natural language processing, machine translation and artificial intelligence. The concentration provides graduates with the knowledge needed to work with language-based technologies such as speech recognition, speech synthesis, machine translation, search engines and computer-assisted services. Graduates with a minor in Human Language Technology will have a better understanding of human-computer interaction issues and interfaces.

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Why Earn a Human Language Technology Minor?

UNT's Department of Linguistics, in close collaboration with Library and Information Science, Learning Technologies, and Computer Science, offers a collaborative environment for developing innovative curricula that incorporate research on language with database design and management, text mining, computational and quantitative methods in linguistics, and natural language processing.

A minor in Human Language Technology is designed to equip graduates with the knowledge needed to build competencies in important and emerging areas such as information organization, information architecture, information seeking and use, health informatics, knowledge management, digital content and digital curation, and information systems.

The program’s goal is to provide general educational preparation for students planning to enter the information profession. The minor’s objectives are for students to demonstrate knowledge and skills related to:

  • The roles and impact of information policies, practices, and information itself on diverse populations in a rapidly changing technological and global information society.
  • Human information needs and behavior in order to develop and implement information systems and services that meet user needs.
  • Professional practices necessary to succeed in information-related occupations, and to pursue a professional master's degree.
  • The philosophy, principles, and legal and ethical responsibilities of the field.

Human Language Technology Minor Courses You Could Take

Introduction to Linguistics (3 hrs)
Introduces students to the richness and complexity of human language. Focuses on the fundamentals of phonetics, phonology, morphology syntax, semantics and pragmatics.
Morphology (3 hrs)
This course will introduce students to the foundations of morphological analysis, providing descriptive and analytical techniques for understanding the internal structure of words.
Discovering Language from Data (3 hrs)
Application of computational tools to curate, analyze and produce a variety of research products from text, video and audio language data, including methods of language transcription, data analysis and presentation formats.
Computational Linguistics (3 hrs)
Study of the foundational methods used for the automated analysis of language, as well as how linguistic knowledge influences those methods. Students also learn basic Python programming and work with the Natural Language Toolkit.
Special Problems (1-3 hours)
Supervised individual or small-group study of special problems or topics not otherwise covered by regular course offerings.
Digital Curation and Preservation (3 hrs)
The abundance of electronic and computer-based information requires a new type of professional to examine the life-cycle of the new type of information content: digital content. Decisions about the preservation of this new type of material are not trivial and include its descriptive components and particular formats and standards for long-term archival storage and access. This course is about the tools and techniques to accomplish these goals.

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