European Masters Program in Language and Communication Technologies (LCT)

The European Masters Program in Language and Communication Technologies (LCT) provides students with profound knowledge and insight into the various disciplines that contribute to the methods of language and communication technologies, and it strengthens their ability to work according to scientific methods. Moreover, the students acquire practice-oriented knowledge by choosing appropriate combinations of modules in Language Technology, Computational and Theoretical Linguistics, and Computer Science.

The program involves studying one year at one of the participating universities, and completing the second year with a stay in the other partner university. After this, the student will obtain two Master of Science degrees with legal value in the countries of issue ...

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Local Master's Program in Language Technologies and Computational Linguistics (in English) - since 2020/21

Type of study: University Graduate - Master’s programme of study
Local study programme / Subject of qualification: Computer Science - Language Technologies and Computational Linguistics
Name of the qualification according to the Czech law: magistr
Title conferred: Mgr. (MSc. equivalent)

Language Technologies and Computational Linguistics programme at a glance

Each student has the following obligations:

  • Pass all obligatory courses (5) at the Charles University (or their equivalents at a partner university - subject to approval)
  • Collect at least 40 ECTS for core elective courses as specified in the Study Guide (or their equivalents at a partner university - subject to approval)
  • Collect at least 90 ECTS for coursework in total (incl. approved credits from the respective partner university)
  • Collect 30 ECTS for thesis courses
  • Pass the State Final Exam (registration is possible only after passing all courses as specified above).
  • Successfully defend the Master thesis.

Study Requirements

  • Official Study Guide, 2020/2021 covers:
    • general information common to all CS
    • list of obligatory courses and list of core elective courses for the programme
    • State Final Exam examination areas
  • Here you can find an unofficial excerpt 2020/21 containing the information relevant for the programme.
  • Note that students can register for further courses offered by the faculty; in particular, several courses intended primarily for our bachelor students can be recommended.
    • NPFL123 Dialogue Systems
    • NPFL124 Natural Language Processing
    • NPFL125 Text processing in UNIX (formerly NPFL092 NLP Technology)
    • NPFL129 Introduction to Machine Learning with Python
    • See SIS for the whole offer.
  • The faculty also offers Czech courses (for foreigners) as well as some other language courses - you can find a survey here.
    • Other faculties, esp. Faculty of Arts, offer many language courses as well - some of these courses are available for our student, too. Note that registration must be typically approved by respective lecturer.   

Further Links and contacts

State Final Exam

Two specializations are available for the State Final Exam:

  • Computational and Formal Linguistics
  • Statistical and Machine Learning Methods in Natural Language Processing

A student selects one of two available specializations when s/he registers for the State Final Exam. 

The State Final Exam consists of one obligatory examination area for both specializations (Area 1), one obligatory area dependent on the selected specialization (Area 2 or Area 3), and one elective examination area (Area 4 and Area 5). As the last examination area, the student may also select the obligatory area of the other specialization of this study programme. In total, each student gets questions from three examination areas.

  1. Fundamentals of Natural Language Processing (obligatory for both specializations)
  2. Linguistic Theories and Formalisms
  3. Statistical Methods and Machine Learning in Computational Linguistics
  4. Speech, Dialogue, and Multimodal Systems
  5. Applications in Natural Language Processing

Lists of topics covered by the examination areas, as well as recommended courses are provided in the Study Guide, 2020/2021 (or in the excerpt 2020/21).

  • tip: examination areas in more detail

Note that you have to finish all your courses and get necessary credits, including credits for  diploma thesis (120 ECTS) before you are allowed to registered for the state exam and/or for the defense (typically in mid summer, see the academic calendar)!

Diploma Theses and its defense

Note that you have to finish all your courses and get necessary credits including credits for  diploma thesis (120 ECTS) before you are allowed to registered for the state exam and/or for the defense (typically in mid summer, see the academic calendar)!

Tuition Fee

The student obliges him/herself to complete the program requirements within the deadline specified in the academic calendar (typically the end of September). If the student fails to meet this deadline (s)he can ask for a program extension.

In case of the extension, the Charles University local fee will be demanded from the student according to the local regulations specified at the faculty webpage. If the student has finished his/her coursework and (s)he is just working on his/her master thesis, (s)he can ask for 80% reduction of the local fee (in written).

Grading scheme

seminar C = credited (i.e., requirements of a course are fulfilled) Czech abbrev. Z

MC = requirement with assessment
     1 = excellent   (~ A/B ECTS grade)
     2 = very good (~ C/D ECTS grade)
     3 = good         (~ E ECTS grade)
     4 = fail            (~ FX/F ECTS grade)

 Czech abbrev. KZ
lecture

Ex = exam
     1 = excellent   (~ A/B ECTS grade)
     2 = very good (~ C/D ECTS grade)
     3 = good         (~ E ECTS grade)
     4 = fail            (~ FX/F ECTS grade)

Czech abbrev. Zk

Learn  more on ECTS here!