HLT Masters

Human Language Technology (HLT) Masters Concentration

Human Language Technology is the science behind computer processing of human language, and is the driving force in modern software and consumer electronics. Automatic speech recognition and natural language processing underlie many technologies that are now used daily by millions of people to interact with mobile technology. Machine translations is being used more and more as its accuracy improves to translate web pages from one language to another, and our ability to extract useful information from text allows us to index and search billions of websites in fractions of a second.

While HLT has grown in its use and importance, the supply of PhDs from academia has failed to keep up with industry’s growing demand for experts capable of developing and deploying needed technologies. The HLT concentration at Johns Hopkins aims to prepare students for work in industry over the course of just three or four semesters.

In the HLT master’s concentration, students learn the mathematical and computational ideas behind these increasingly common technologies. You will learn how to implement these  methods using popular programming languages and open-source frameworks and how to deploy these methods at scale using cloud computing resources and high-performance graphics processing units (GPUs). Students will have the opportunity to work on group projects under the direct supervision of distinguished academic researchers in a practicum-style course. The HLT concentration requirements are intended to allow specialization in a particular technology, such as machine translation, machine learning, or automatic speech recognition.

The HLT master’s concentration exists for both the Masters in Computer Science and the Masters in Electrical and Computer Engineering. Students will have to fulfill the requirements for the degree program, and take the following courses:

  • Introduction to Human Language Technology (601.667)
  • Natural Language Processing (601.665)
  • Information Extraction from Speech and Text (520.666)

Students will also have to complete a Master’s project related to Human Language Technology. To qualify for the HLT master’s concentration, students have to submit an application (typically at the end of the first semester).

 

Sample Courses
    • Introduction to Human Language Technology (601.667 CSCI-APPL)
    • Natural Language Processing (601.665 CSCI-APPL)
    • Additional CS or ECE course
    • Information Extraction from Speech and Text (520.666)
    • Two additional CS or ECE courses
    • Start Thesis/ Internship
    • Two additional CS or ECE courses
    • Thesis (completion)

    Students are allowed and encouraged to select other courses from other departments that are relevant to the Human Language Technology Master’s Concentration.

The HLT concentration is an intense introduction to Human Language Technology, open to those enrolled in the MSE or PhD programs in the Computer Science and Electrical and Computer Engineering departments at Johns Hopkins University. The academic year 2019-2020 will be the first year this concentration is offered.

The HLT concentration is intended to prepare students  for careers in industry, though we anticipate that a minority of our graduates will go on to pursue PhD studies. Students in the HLT concentration will take courses alongside PhD students, especially students affiliated with the Johns Hopkins Center for Language and Speech Processing. Successful applicants will have a strong background in undergraduate-level programming and math (primarily calculus and linear algebra). The application process is handled through the university’s online graduate student application.

Johns Hopkins University is home to an active group of exceptional researchers in Human Language Technology. Our PhD students have gone on to work in both academia and at leading technology companies such as Google, Apple, Facebook, Microsoft, and Amazon, and may have gone on to form their own startups. PhD programs at Johns Hopkins and similar universities are not producing graduates fast enough to meet the intense industry demand for expertise in HLT. The HLT concentration aims to prepare students for work with HLT in industry over just three or four semesters.

Center for Language and Speech Processing