Are you interested in working with cutting-edge technology at the forefront of language processing?
MA Computational Linguistics is a course run by a leading research group at the University of Wolverhampton. As a Masters student on this course, you will be part of our Research Institute of Information and Language Processing (RIILP), an independent, research-driven University unit specialising in Linguistics and Natural Language Processing.
As the name suggests, Computational Linguistics (sometimes called Natural Language Processing) is the use of computers to study language. On the course, you will be able to study:
• How to use Python and the well-established NLTK library to process natural language texts;
• How to analyse real language usage;
• How to automatically translate text using computer programs;
• The use of computers to study features of language;
• Translation tools such as translation memory systems;
• Computer techniques for automatically classifying natural language texts;
• Understand how Siri, Amazon Echo and Google Home etc. work;
• How to design an experiment that will thoroughly test your research questions.
You will be mentored through this programme by experienced and leading academics from the field. Join our research group today to become part of this team of leading researchers and academics and create your path to a career in computers and language!
MA Computational Linguistics, when studied full-time, comprises of three semesters worth 60 credits each. Three modules will be studied in both Semester One and Semester Two. During the third semester, students will undertake their research project and complete a 15,000 word dissertation on any aspect of Computational Linguistics.
The course covers all aspects of Computational Linguistics in-line with current and leading work in research and industry, and is divided into the following taught modules:
1. Computer programming in Python
The students will be taught the Python computer programming language, which is specially designed for dealing with natural language texts.
2. Corpus Linguistics in R
Corpus Linguistics involves storing large amounts of text on the computer for linguistic analysis. R is a programming language used to study the statistics of language.
3. Machine translation and other natural language processing applications
The automatic translation of text using statistics. The members of the Research Group will each speak on their own research areas throughout the module.
4. Computational Linguistics
The use of computers to study language at all levels, such as relations between words, part of speech tagging, syntactic parsing and anaphora resolution.
5. Translation tools for professional translators
Using computer tools to speed up many aspects of translation, such as product manuals, film scripts, medical texts, video games and simultaneous interpreting.
6. Machine learning for language processing
Computer techniques for automatically classifying natural language texts, for NLP tasks such as making summaries of text automatically.
7. Research methods and professional skills
You will learn how to design an experiment to thoroughly test your research questions.
Translation Tools for Professional Translators is an elective module that may be chosen in the Second Semester to replace another taught module for those students who are interested in pursuing careers in Translation.
You will be expected to dedicate 9 hours per week to lectures and a proportionate amount of time to self-study and tutorials with your supervisor.
Opportunities:
- You will be taught by leading researchers in the field: our teaching staff at the Research Institute of Information and Language Processing (RIILP) are engaged in high-quality research, as evidenced by the latest RAE 2008 and REF 2014 results.
- We offer an exciting programme of invited lectures and research seminars, attended by both students and staff;
- The institute has a wide network of contacts in academia and in the industry from which you will be able to benefit.
The knowledge and skills developed in the course will be assessed in a variety of ways. Assessments will include writing assignments on given topics, reports on practical work carried out in the class, portfolios, projects, oral presentations, and tests.
The culmination of the study programme will be your 15,000-word dissertation, which will allow you to carry out an in-depth study of a chosen topic within the areas of corpus linguistics, language teaching, lexicography, or translation.
Graduates of this course will be well-placed to continue their academic/research careers by applying for PhD positions within RIILP or at other leading centres for language and information processing. This degree will also enable graduates to access research and development positions within the language processing and human language technology industries, as well as in related areas such as translation, software development and information and communication technologies, depending on their specific module choices and dissertation topic. It should be noted that computer programming is a skill that is increasingly sought after by many companies from technological backgrounds and skills gained from this course will place graduates in a good position to take up such posts. Past graduates from this course have also gone on to successful careers specifically within the computer programming industry.
The practical sessions include working with tools and software and developing programs based on the material taught in the lectures, allowing you to apply the technical skills you are learning. Some of the tasks are group based, feeding into the collaboration aspect of blended learning which enhances team-working skills, and some are done individually. Through portfolio building, you will be able to share your learning with other students. You will also be able to enhance your employability by sharing your online portfolio with prospective employers. Some assessments will require you to present your work to the rest of the class, enabling you to develop your presentation skills, which are useful in both academia and industry. Other transferrable skills are the abilities to structure your thoughts, present your ideas clearly in writing and prepare texts for a wider audience. You will acquire these skills through assessed report and essay writing, and most of all through writing your dissertation.
The LCT program is an international distributed Master program. It is designed to meet the demands of industry and research in the rapidly growing field of Language Technology. Research and innovation in Language Technology is vital for many of the smart applications that are pervasive in modern daily life, such as virtual assistants, automatic translation services, search engines, voice-driven technology, text analytics, social media analytics etc. Language Technology (also known as Computational Linguistics or Natural Language Processing (NLP)) is an interdisciplinary field at the intersection of Linguistics, Computer Science and Mathematics (logic, probability theory, formal language theory, statistics). Hence, students in this program choose appropriate combinations of modules in Language Technology, digital humanities, Computational and Theoretical Linguistics, and Computer Science. Moreover, the students are able to acquire practice-oriented knowledge through our strong and continuous links with industry through internships, joint industry-academia supervisions, and the like.
The program involves studying one year each at two different European partner universities. Optionally, a stay at one of the non-european partners for some months is possible, as well as an internship at any of our industrial partners. After completing all study requirements, the students obtain two Master degrees: one from each of the two European universities where they studied.
The course consists of compulsory core modules, as well as elective advanced modules in Language Technology and Computer Science, possibly complemented by an internship project, and completed by a Master Thesis.
Students can expect to learn more about:
The LCT Masters program has been successfully implemented since 2006, being funding by the Erasmus Mundus Programme from 2007 to 2011 and from 2013 to 2017. In 2012 the LCT Program operated as an Erasmus Mundus Brand Name. Intake 2018: the program commits to respecting the Erasmus Mundus requirements and to maintain the high quality of the implementation during the years of funding.
+ duration 2 years (120 ECTS credits)
+ in-depth theoretical and hands-on instruction in computational linguistics methods and technologies
+ study one year each at two different partner universities in Europe
+ double degree
+ possibility to visit one of two non-European partners for a part of the study
+ language of instruction and academic and administrative support is English
1. Saarland University in Saarbruecken, Germany (coordinator)
2. University of Trento, Trento, Italy
3. University of Malta, Malta
4. University of Lorraine, Nancy, France
5. Charles University, Prague, Czech Republic
6. Rijksuniversiteit Groningen, The Netherlands
7. The University of the Basque Country / Euskal Herriko University, San Sebastian, Spain
8. Shanghai Jiao Tong University, China
9. The University of Melbourne, Australia
You can find answers to our Frequently asked questions here: https://lct-master.org/contents_2014/faq.php
The LCT program offers education and training opportunities for the next generation of leaders in research and innovation in artificial intelligence as well as language and speech technologies. Examples of jobs held by the LCT alumni include: PhD student; university professor; company founder, data scientist, software engineer, IT consultant, senior analyst, researcher, senior linguist, information extraction engineer, project leader, computational linguist, assistant professor, post-doctoral researcher.
The M.A. program in Linguistics offers either a Thesis (research) track or a non-thesis (general) track. Both tracks have three objectives: (1) to expose students to current research topics in the field (2) to engage students in scientific discourse, research methodologies, and critical reasoning; (3) to train students in academic writing and the use of professional literature. The goal of the thesis track, in addition, is for students to conduct original research that contributes to the field.
Both tracks are two-year programs.
Students can choose from among the various courses offered. However, all students in this track must take the Methodology course in their first year. In addition, the courses chosen must include at least one course in syntax and at least one course in semantics. All M.A. courses are run as seminars and require a final paper.
Overall, students in the thesis track take 24 points (6 courses of 4 points each), comprising 50% of the final grade. They also write a research thesis (12 points), comprising 50% of the final grade. Students are also required to attend the departmental seminar throughout their two years of study.
All research students are encouraged to choose an advisor and begin working on their thesis proposal (3 pages plus bibliography) before the end of their first year.
Excellent students can choose a special track in Computational Linguistics, with the approval of the Computational Linguistics advisor, Prof. Ariel Cohen. This track includes the following three courses from Computer Science: Introduction to Computer Science, Data Structure, and a course in Natural Language Processing, with no need for additional prerequisites. The courses in Data Structure and NLP count as 8 points toward the MA degree.
Students can choose from among the various courses offered. Students in this track take 36 points (9 courses of 4 points each), comprising 80% of the final grade, plus a final take-home exam (comprising 20% of the final grade). The exam integrates materials from the courses which the students have studied in the M.A. program.
The department also offers a combined track of literature and linguistics. In this track, the students take 36 points (9 courses of 4 points each) in which both linguistics and literature courses are represented (a minimum of 8 points for each field, a maximum of 24 points). Up to 8 points are designated courses for this track. This track combines advanced courses in Literature and Linguistics and is particularly suitable for English teachers whose BA studies covered both areas and who are interested in both fields. Students write a final take-home
the exam is by the end of their second year in the program.
The Linguistics MA allows you to study phonology and syntax alongside a pathway of your choice in English Language or Language Acquisition The course, characterised by its flexibility, equips you with the research skills necessary to undertake independent study in linguistics.
The common subjects the course covers include theoretical and general linguistics, descriptive linguistics, applied linguistics, and combinations of these specialisms. By choosing one of the pathways, you will be able to focus on your area of specific interest.
By the end of the course you will understand and engage with ideas at the forefront of linguistic research and address linguistic questions and problems currently being debated.
During two 12-week semesters you will study six modules delivered through lectures, seminars, workshops and field work. These are supplemented by academic events and invited international specialists. You work closely with your supervisor on a 15,000 –18,000-word dissertation.
The School of English Literature, Language and Linguistics is a lively and diverse community with over 700 undergraduates and 200 postgraduates.
We are based in the Percy Building where the majority of your seminars and tutorials will take place. Our purpose-built postgraduate suite includes several dedicated computer clusters, meeting rooms, a kitchen and lounge area.
Linguistics postgraduates also benefit from a dedicated space reserved for members of the Centre for Research in Linguistics and Language Sciences. This space provides a range of resources, including access to linguistics software (eg Childes, Clan, Elan, Praat), linguistic corpora (eg DECTE, ICE, ICAME), and specialised equipment such as the eye tracker.
You also have access to the award-winning Peter Robinson Library, which has an extensive audio-visual collection.
The Linguistics MA has two specialist pathways leading to different awards:
The pathways allow you to focus on your area of particular interest, which could range from lexical innovation, sociolinguistics, computational linguistics, child language acquisition or psycholinguistics. Whichever pathway you choose, you gain:
All pathways involve selecting modules covering the two central linguistic disciplines of phonology and syntax.
Kent's MA in Applied Linguistics with TESOL (Teaching English to Speakers of Other Languages) provides teachers with advanced knowledge of linguistics and language pedagogy, informed by research and scholarship, to enhance, develop and inform an understanding of language learning and classroom practice.
The programme is offered by the Department of English Language & Linguistics, and benefits from staff expertise in areas of linguistics that inform classroom practice (such as syntax, morphology, semantics, pragmatics and phonetics), raising awareness of these fields and applying them to TESOL. Students gain an understanding of the theory, methodology and interdisciplinary nature of TESOL, as well as a firm foundation in linguistics.
Practical teaching opportunities are a feature of the programme, including teaching to peer groups and international students. There is also the opportunity to observe language classes.
Students begin by studying eight modules across the Autumn and Spring terms, before writing a 12,000-word dissertation or teaching portfolio over the summer, supervised by an expert in the department.
The programme is an ideal for teachers aiming to improve their understanding and abilities in communicating across the barriers of language and those who wish to build an international dialogue.
Visit the website: https://www.kent.ac.uk/secl/ell/postgraduate/taught-applied-linguistics-for-tesol.html
English Language and Linguistics (ELL), founded in 2010, is the newest department of the School of European Culture and Languages (SECL). ELL is a dynamic and growing department with a vibrant research culture. We specialise in experimental and theoretical linguistics. In particular, our interests focus on quantitative and experimental research in speech and language processing, variation and acquisition, but also cover formal areas such as syntax, as well as literary stylistics. In addition to English and its varieties, our staff work in French, German, Greek, Romani, Korean, Spanish and Russian.
Staff and postgraduates are members of the Centre for Language and Linguistic Studies (CLLS), a research centre that seeks to promote interdisciplinary linguistic research. We also have links with research networks outside Kent, and are involved with national and international academic associations including the Linguistics Association of Great Britain, the British Association of Academic Phoneticians, the Linguistic Society of America, the Association for French Language Studies and the Poetics and Linguistics Association.
The programme starts with two core linguistics modules (Sounds and Structure), the choice between two modules (Meaning or Research Skills) and a module on language awareness for teachers (Language Awareness and Analysis for TESOL) so that you have a firm grasp of the linguistic bases of language teaching.
In the spring term the focus is on how languages are learned (Second Language Acquisition), how you can improve classroom technique (Methods and Practice of TESOL), plan for your students' needs (Course and Syllabus Design for TESOL) and the option between two modules (Materials Evaluation and Development for TESOL or one of the linguistics modules offered that term).
Students can choose to do either a Research Dissertation or a Teaching Portfolio in the summer term. The dissertation will be an opportunity to plan and develop a piece of empirical research which can be of direct relevance to your current or planned teaching situation. The teaching portfolio functions both as the culmination of the year's work on the program and as preparation for students' professional development as language teachers.
Modules are typically assessed by a 3-4,000-word essay, but assessment patterns can include practical/experimental work, report and proposal writing, critiques, problem solving and seminar presentations. You also complete a 12-15,000-word research dissertation on a topic agreed with your supervisor.
- Provide TESOL practitioners with advanced knowledge of linguistics related to language pedagogy, informed by research and scholarship, which will enhance, develop and inform their understanding of language learning and classroom practice.
- To produce graduates who will contribute locally, nationally and internationally to the TESOL community.
- To prepare students to be more effective in the TESOL classroom.
- To provide students with teaching and training which is informed by research, scholarship, practice and experience.
Alongside our research centre below, we also have links with research networks outside Kent, and are involved with national and international academic associations including the Linguistics Association of Great Britain, the British Association of Academic Phoneticians, the Linguistic Society of America, the Association for French Language Studies and the Poetics and Linguistics Association.
- Linguistics Lab
The newly established Linguistics Lab is currently housed in Rutherford College and has facilities for research in acoustics, sociophonetics and speech and language processing. English Language and Linguistics (ELL) members also have access to the School of European Culture and Language (SECL) recording studio and multimedia labs which can be used both for research and teaching.
- Centre for Language and Linguistics
English Language and Linguistics is the main contributor to the Centre for Language and Linguistics. Founded in 2007, the Centre promotes interdisciplinary collaboration in linguistic research and teaching. Membership embraces not just the members of English Language and Linguistics but also other SECL members with an interest in the study of language, as well as researchers in philosophy, computing, psychology and anthropology, reflecting the many and varied routes by which individuals come to a love of language and an interest in the various disciplines and subdisciplines of linguistics.
Postgraduate work in English Language and Linguistics prepares you for a range of careers where an in-depth understanding of how language functions is essential. These include speech and language theory, audiology, teaching, publishing, advertising, journalism, public relations, company training, broadcasting, forensic and computational work, and the civil or diplomatic services.
Find out how to apply here - https://www.kent.ac.uk/courses/postgraduate/apply/
The LCT program is an international distributed Master program. It is designed to meet the demands of industry and research in the rapidly growing field of Language Technology. Research and innovation in Language Technology is vital for many of the smart applications that are pervasive in modern daily life, such as virtual assistants, automatic translation services, search engines, voice-driven technology, social media analytics etc. Language Technology (also known as Computational Linguistics or Natural Language Processing) is an interdisciplinary field at the intersection of Linguistics, Computer Science and Mathematics (logic, probability theory, formal language theory, statistics). Hence, students in this program choose appropriate combinations of modules in Language Technology, Computational and Theoretical Linguistics, and Computer Science. Moreover, the students are able to acquire practice-oriented knowledge through our strong and continuous links with industry through internships, joint industry-academia supervisions, and the like.
The program involves studying one year each at two different European partner universities. Optionally, a stay at one of the non-european partners for some months is possible, as well as an internship at any of our industrial partners. After completing all study requirements, the students obtain two Master degrees: one from each of the two European universities where they studied.
The course consists of compulsory core modules, as well as elective advanced modules in Language Technology and Computer Science, possibly complemented by an internship project, and completed by a Master Thesis.
The LCT Masters program has been successfully implemented since 2006, being funding by the Erasmus Mundus Programme from 2007 to 2011 and from 2013 to 2017. In 2012 the LCT Program operated as an Erasmus Mundus Brand Name. Intake 2018: the program commits to respecting the Erasmus Mundus requirements and to maintain the high quality of the implementation during the years of funding.
+ duration 2 years (120 ECTS credits)
+ in-depth theoretical and hands-on instruction in computational linguistics methods and technologies
+ study one year each at two different partner universities in Europe
+ double degree
+ possibility to visit one of two non-European partners for a part of the study
+ language of instruction and academic and administrative support is English
1. Saarland University in Saarbruecken, Germany (coordinator)
2. University of Trento, Trento, Italy
3. University of Malta, Malta
4. University of Lorraine, Nancy, France
5. Charles University, Prague, Czech Republic
6. Rijksuniversiteit Groningen, The Netherlands
7. The University of the Basque Country / Euskal Herriko University, San Sebastian, Spain
8. Shanghai Jiao Tong University, China
9. The University of Melbourne, Australia
You can find answers to our Frequently asked questions here: https://lct-master.org/contents_2014/faq.php
The LCT program offers education and training opportunities for the next generation of leaders in research and innovation in artificial intelligence as well as language and speech technologies. Examples of jobs held by the LCT alumni include: PhD student; university professor; company founder, data scientist, software engineer, IT consultant, senior analyst, researcher, senior linguist, information extraction engineer, project leader, computational linguist, assistant professor, post-doctoral researcher.
Visit the European Masters Program Language & Communication Technologies page on the University of Malta website for more details!
The LCT program is an international distributed Master program. It is designed to meet the demands of industry and research in the rapidly growing field of Language Technology. Research and innovation in Language Technology is vital for many of the smart applications that are pervasive in modern daily life, such as virtual assistants, automatic translation services, search engines, voice-driven technology, social media analytics etc. Language Technology (also known as Computational Linguistics or Natural Language Processing) is an interdisciplinary field at the intersection of Linguistics, Computer Science and Mathematics (logic, probability theory, formal language theory, statistics). Hence, students in this program choose appropriate combinations of modules in Language Technology, Computational and Theoretical Linguistics, and Computer Science. Moreover, the students are able to acquire practice-oriented knowledge through our strong and continuous links with industry through internships, joint industry-academia supervisions, and the like.
The program involves studying one year each at two different European partner universities. Optionally, a stay at one of the non-european partners for some months is possible, as well as an internship at any of our industrial partners. After completing all study requirements, the students obtain two Master degrees: one from each of the two European universities where they studied.
The course consists of compulsory core modules, as well as elective advanced modules in Language Technology and Computer Science, possibly complemented by an internship project, and completed by a Master Thesis.
The LCT Masters program has been successfully implemented since 2006, being funding by the Erasmus Mundus Programme from 2007 to 2011 and from 2013 to 2017. In 2012 the LCT Program operated as an Erasmus Mundus Brand Name. Intake 2018: the program commits to respecting the Erasmus Mundus requirements and to maintain the high quality of the implementation during the years of funding.
+ duration 2 years (120 ECTS credits)
+ in-depth theoretical and hands-on instruction in computational linguistics methods and technologies
+ study one year each at two different partner universities in Europe
+ double degree
+ possibility to visit one of two non-European partners for a part of the study
+ language of instruction and academic and administrative support is English
European partners:
1. Saarland University in Saarbruecken, Germany (coordinator)
2. University of Trento, Trento, Italy
3. University of Malta, Malta
4. University of Lorraine, Nancy, France
5. Charles University, Prague, Czech Republic
6. Rijksuniversiteit Groningen, The Netherlands
7. The University of the Basque Country / Euskal Herriko University, San Sebastian, Spain
Non-European partners:
8. Shanghai Jiao Tong University, China
9. The University of Melbourne, Australia
You can find answers to our Frequently asked questions here: https://lct-master.org/contents_2014/faq.php
The LCT program offers education and training opportunities for the next generation of leaders in research and innovation in artificial intelligence as well as language and speech technologies. Examples of jobs held by the LCT alumni include: PhD student; university professor; company founder, data scientist, software engineer, IT consultant, senior analyst, researcher, senior linguist, information extraction engineer, project leader, computational linguist, assistant professor, post-doctoral researcher.
Visit the European Masters Program Language & Communication Technologies page on the University of Malta website for more details!
The LCT program is an international distributed Master program. It is designed to meet the demands of industry and research in the rapidly growing field of Language Technology. Research and innovation in Language Technology is vital for many of the smart applications that are pervasive in modern daily life, such as virtual assistants, automatic translation services, search engines, voice-driven technology, social media analytics etc. Language Technology (also known as Computational Linguistics or Natural Language Processing) is an interdisciplinary field at the intersection of Linguistics, Computer Science and Mathematics (logic, probability theory, formal language theory, statistics). Hence, students in this program choose appropriate combinations of modules in Language Technology, Computational and Theoretical Linguistics, and Computer Science. Moreover, the students are able to acquire practice-oriented knowledge through our strong and continuous links with industry through internships, joint industry-academia supervisions, and the like.
The program involves studying one year each at two different European partner universities. Optionally, a stay at one of the non-european partners for some months is possible, as well as an internship at any of our industrial partners. After completing all study requirements, the students obtain two Master degrees: one from each of the two European universities where they studied.
The course consists of compulsory core modules, as well as elective advanced modules in Language Technology and Computer Science, possibly complemented by an internship project, and completed by a Master Thesis.
The LCT Masters program has been successfully implemented since 2006, being funding by the Erasmus Mundus Programme from 2007 to 2011 and from 2013 to 2017. In 2012 the LCT Program operated as an Erasmus Mundus Brand Name. Intake 2018: the program commits to respecting the Erasmus Mundus requirements and to maintain the high quality of the implementation during the years of funding.
+ duration 2 years (120 ECTS credits)
+ in-depth theoretical and hands-on instruction in computational linguistics methods and technologies
+ study one year each at two different partner universities in Europe
+ double degree
+ possibility to visit one of two non-European partners for a part of the study
+ language of instruction and academic and administrative support is English
European partners:
1. Saarland University in Saarbruecken, Germany (coordinator)
2. University of Trento, Trento, Italy
3. University of Malta, Malta
4. University of Lorraine, Nancy, France
5. Charles University, Prague, Czech Republic
6. Rijksuniversiteit Groningen, The Netherlands
7. The University of the Basque Country / Euskal Herriko University, San Sebastian, Spain
Non-European partners:
8. Shanghai Jiao Tong University, China
9. The University of Melbourne, Australia
You can find answers to our Frequently asked questions here: https://lct-master.org/contents_2014/faq.php
The LCT program offers education and training opportunities for the next generation of leaders in research and innovation in artificial intelligence as well as language and speech technologies. Examples of jobs held by the LCT alumni include: PhD student; university professor; company founder, data scientist, software engineer, IT consultant, senior analyst, researcher, senior linguist, information extraction engineer, project leader, computational linguist, assistant professor, post-doctoral researcher.
Visit the European Masters Program Language & Communication Technologies page on the University of Malta website for more details!
Program Brief
The LCT program is an international distributed Master program. It is designed to meet the demands of industry and research in the rapidly growing field of Language Technology. Research and innovation in Language Technology is vital for many of the smart applications that are pervasive in modern daily life, such as virtual assistants, automatic translation services, search engines, voice-driven technology, social media analytics etc. Language Technology (also known as Computational Linguistics or Natural Language Processing) is an interdisciplinary field at the intersection of Linguistics, Computer Science and Mathematics (logic, probability theory, formal language theory, statistics). Hence, students in this program choose appropriate combinations of modules in Language Technology, Computational and Theoretical Linguistics, and Computer Science. Moreover, the students are able to acquire practice-oriented knowledge through our strong and continuous links with industry through internships, joint industry-academia supervisions, and the like.
Mobility
The program involves studying one year each at two different European partner universities. Optionally, a stay at one of the non-european partners for some months is possible, as well as an internship at any of our industrial partners. After completing all study requirements, the students obtain two Master degrees: one from each of the two European universities where they studied.
Study program
The course consists of compulsory core modules, as well as elective advanced modules in Language Technology and Computer Science, possibly complemented by an internship project, and completed by a Master Thesis.
History
The LCT Masters program has been successfully implemented since 2006, being funding by the Erasmus Mundus Programme from 2007 to 2011 and from 2013 to 2017. In 2012 the LCT Program operated as an Erasmus Mundus Brand Name. Intake 2018: the program commits to respecting the Erasmus Mundus requirements and to maintain the high quality of the implementation during the years of funding.
Key facts:
+ duration 2 years (120 ECTS credits)
+ in-depth theoretical and hands-on instruction in computational linguistics methods and technologies
+ study one year each at two different partner universities in Europe
+ double degree
+ possibility to visit one of two non-European partners for a part of the study
+ language of instruction and academic and administrative support is English
European partners:
1. Saarland University in Saarbruecken, Germany (coordinator)
2. University of Trento, Trento, Italy
3. University of Malta, Malta
4. University of Lorraine, Nancy, France
5. Charles University, Prague, Czech Republic
6. Rijksuniversiteit Groningen, The Netherlands
7. The University of the Basque Country / Euskal Herriko University, San Sebastian, Spain
Non-European partners:
8. Shanghai Jiao Tong University, China
9. The University of Melbourne, Australia
You can find answers to our Frequently asked questions here: https://lct-master.org/contents_2014/faq.php
Careers
The LCT program offers education and training opportunities for the next generation of leaders in research and innovation in artificial intelligence as well as language and speech technologies. Examples of jobs held by the LCT alumni include: PhD student; university professor; company founder, data scientist, software engineer, IT consultant, senior analyst, researcher, senior linguist, information extraction engineer, project leader, computational linguist, assistant professor, post-doctoral researcher.
Visit the European Masters Program Language & Communication Technologies page on the University of Malta website for more details!
The LCT program is an international distributed Master program. It is designed to meet the demands of industry and research in the rapidly growing field of Language Technology. Research and innovation in Language Technology is vital for many of the smart applications that are pervasive in modern daily life, such as virtual assistants, automatic translation services, search engines, voice-driven technology, social media analytics etc. Language Technology (also known as Computational Linguistics or Natural Language Processing) is an interdisciplinary field at the intersection of Linguistics, Computer Science and Mathematics (logic, probability theory, formal language theory, statistics). Hence, students in this program choose appropriate combinations of modules in Language Technology, Computational and Theoretical Linguistics, and Computer Science. Moreover, the students are able to acquire practice-oriented knowledge through our strong and continuous links with industry through internships, joint industry-academia supervisions, and the like.
The program involves studying one year each at two different European partner universities. Optionally, a stay at one of the non-european partners for some months is possible, as well as an internship at any of our industrial partners. After completing all study requirements, the students obtain two Master degrees: one from each of the two European universities where they studied.
The course consists of compulsory core modules, as well as elective advanced modules in Language Technology and Computer Science, possibly complemented by an internship project, and completed by a Master Thesis.
The LCT Masters program has been successfully implemented since 2006, being funding by the Erasmus Mundus Programme from 2007 to 2011 and from 2013 to 2017. In 2012 the LCT Program operated as an Erasmus Mundus Brand Name. Intake 2018: the program commits to respecting the Erasmus Mundus requirements and to maintain the high quality of the implementation during the years of funding.
+ duration 2 years (120 ECTS credits)
+ in-depth theoretical and hands-on instruction in computational linguistics methods and technologies
+ study one year each at two different partner universities in Europe
+ double degree
+ possibility to visit one of two non-European partners for a part of the study
+ language of instruction and academic and administrative support is English
1. Saarland University in Saarbruecken, Germany (coordinator)
2. University of Trento, Trento, Italy
3. University of Malta, Malta
4. University of Lorraine, Nancy, France
5. Charles University, Prague, Czech Republic
6. Rijksuniversiteit Groningen, The Netherlands
7. The University of the Basque Country / Euskal Herriko University, San Sebastian, Spain
8. Shanghai Jiao Tong University, China
9. The University of Melbourne, Australia
You can find answers to our Frequently asked questions here: https://lct-master.org/contents_2014/faq.php
The LCT program offers education and training opportunities for the next generation of leaders in research and innovation in artificial intelligence as well as language and speech technologies. Examples of jobs held by the LCT alumni include: PhD student; university professor; company founder, data scientist, software engineer, IT consultant, senior analyst, researcher, senior linguist, information extraction engineer, project leader, computational linguist, assistant professor, post-doctoral researcher.
Visit the European Masters Program Language & Communication Technologies page on the University of Malta website for more details!
You can find answers to our Frequently asked questions here: https://lct-master.org/contents_2014/faq.php
The LCT program is an international distributed Master program. It is designed to meet the demands of industry and research in the rapidly growing field of Language Technology. Research and innovation in Language Technology is vital for many of the smart applications that are pervasive in modern daily life, such as virtual assistants, automatic translation services, search engines, voice-driven technology, social media analytics etc. Language Technology (also known as Computational Linguistics or Natural Language Processing) is an interdisciplinary field at the intersection of Linguistics, Computer Science and Mathematics (logic, probability theory, formal language theory, statistics). Hence, students in this program choose appropriate combinations of modules in Language Technology, Computational and Theoretical Linguistics, and Computer Science. Moreover, the students are able to acquire practice-oriented knowledge through our strong and continuous links with industry through internships, joint industry-academia supervisions, and the like.
The program involves studying one year each at two different European partner universities. Optionally, a stay at one of the non-european partners for some months is possible, as well as an internship at any of our industrial partners. After completing all study requirements, the students obtain two Master degrees: one from each of the two European universities where they studied.
The course consists of compulsory core modules, as well as elective advanced modules in Language Technology and Computer Science, possibly complemented by an internship project, and completed by a Master Thesis.
The LCT Masters program has been successfully implemented since 2006, being funding by the Erasmus Mundus Programme from 2007 to 2011 and from 2013 to 2017. In 2012 the LCT Program operated as an Erasmus Mundus Brand Name. Intake 2018: the program commits to respecting the Erasmus Mundus requirements and to maintain the high quality of the implementation during the years of funding.
+ duration 2 years (120 ECTS credits)
+ in-depth theoretical and hands-on instruction in computational linguistics methods and technologies
+ study one year each at two different partner universities in Europe
+ double degree
+ possibility to visit one of two non-European partners for a part of the study
+ language of instruction and academic and administrative support is English
1. Saarland University in Saarbruecken, Germany (coordinator)
2. University of Trento, Trento, Italy
3. University of Malta, Malta
4. University of Lorraine, Nancy, France
5. Charles University, Prague, Czech Republic
6. Rijksuniversiteit Groningen, The Netherlands
7. The University of the Basque Country / Euskal Herriko University, San Sebastian, Spain
8. Shanghai Jiao Tong University, China
9. The University of Melbourne, Australia
You can find answers to our Frequently asked questions here: https://lct-master.org/contents_2014/faq.php
The LCT program offers education and training opportunities for the next generation of leaders in research and innovation in artificial intelligence as well as language and speech technologies. Examples of jobs held by the LCT alumni include: PhD student; university professor; company founder, data scientist, software engineer, IT consultant, senior analyst, researcher, senior linguist, information extraction engineer, project leader, computational linguist, assistant professor, post-doctoral researcher.
Visit the European Masters Program Language & Communication Technologies page on the University of Malta website for more details!
The program is offered in English and leads to the Master degree in Cognitive Science. Students choose between two tracks:
Each track offers a selection of specialized courses, to allow students to tailor their training to their academic interests. The curriculum includes courses focusing on neurophysiological aspects of cognitive processes, the study of human behavior, and human-computer interaction.
Two characteristic features of this program are a close relationship between teaching and research practices & a constant interplay between biology-based and technology-based explorations of the human mind and brain.
The programme provides research-focused training with a varied, international group of faculty and researchers. All students are actively involved in developing research projects and have access to the laboratories during the Master’s course, thus gaining invaluable hands-on experience with cutting-edge research technologies. This includes functional magnetic resonance imaging (fMRI), transcranial magnetic stimulation (TMS), magnetic encephalography (MEG), transcranial direct current stimulation (tDCS), electroencephalography (EEG), eye tracking, cinematic motion tracking, psychophysics, computational modeling, & comparative cognition (animal models) for the CN track; and for the LMI track, machine learning technologies, like deep learning and multitask learning, will be applied to language understanding in interaction with other modalities.
The knowledge and skills gained during the Master’s course will most of all provide a foundation for advanced scientific research, but also prepare for professional applications in more applied settings.
The Master’s degree course in Cognitive Science is aimed at the acquisition of advanced theoretical and methodological knowledge in cognitive science through an interdisciplinary approach to the study of the mind-brain system and of human language through computational models. The perspective adopted is that of the interdisciplinary approach, which integrates the biological, technological and cognitive approaches in order to allow a better understanding of human action, focusing the educational intervention and other educational activities mainly on cognitive neuropsychology and on computational linguistics.
The curriculum is characterized by training experiences and significant research activities at highly qualified laboratories, both in the field of brain-imaging (fMRI, EEG, TMS, etc.) and in the field of natural language processing, also in order to achieve the implementation of the skills acquired. We also offer students the opportunity to attend training courses abroad as part of international exchange programmes and of numerous collaborations with foreign universities. The assessment of the competences acquired will take into consideration both the theoretical knowledge and the practical skills acquired by students, also in the context of integrated courses across multiple disciplines.
Graduates will be able to apply advanced skills in cognitive science using computational, observational and experimental methodologies in the study of the mind-brain system and computational linguistics. The course of study will also allow students to conduct research activities as part of the analysis and development of systems related to human cognitive performance, conducting empirical research and the development of neural and computational models of cognition. They can perform these tasks as independent professionals or also as consultants at public and private entities.
The Master's degree in Cognitive Science provides access to doctoral courses in the disciplines of cognitive science, both in Italy and in Europe and the United States. The CIMeC offers a PhD program in Cognitive and Brain Sciences.
The Linguistics MA is a flexible programme which aims to explore the breadth and the depth of linguistics. It builds on the widest range of teaching and research expertise, covering all aspects of theoretical and descriptive linguistics: phonetics, phonology, morphology, syntax, semantics, pragmatics, discourse and conversation analysis, typology, historical linguistics, sociolinguistics, cognitive linguistics and psycholinguistics, computational and corpus linguistics, field linguistics, and the documentation and description of endangered languages. The academic staff teaching on the programme work on various practical applications of linguistics (e.g. language codification and language policy, institutional language, language in the community) and have expertise in a wide range of languages, including English and its varieties, Germanic, Latin and Romance, Russian, Polish, Kurdish and other Iranian languages, Arabic, Hebrew, Turkish, and several languages spoken in the Americas (e.g. Huave, Quechua, Ulwa), Australia (e.g. Jamingjung), and beyond.
All students receive a solid foundation for linguistic study in three core modules (of which at least two are compulsory):
The remainder of the programme allows the students to make the most of what the staff have to offer. Students can either take a variety of course units in different areas including the new Forensic Linguistics unit, or specialise in one of the following pathways: Phonetics and Phonology, Sociolinguistics, Syntax and Semantics, Typology or Romani Linguistics.
The course aims to give students a grounding in breadth and depth in Linguistics, by exploring the central features of linguistic theory: its history, objectives, principal theoretical frameworks, methodologies, contested areas and uncontested results. Students will gain experience of excellence in teaching and learning at an advanced level, in an environment where they will benefit from the fact that the School is also home to world-leading research in Linguistics.
Teaching takes on a variety of forms. Core course units and other MA specific course units are typically taught as seminars, in a small group, combining lectures with discussion. Many of them have practical tutorials as well which will help students prepare for individual research projects. Directed Readings involve individual or small group meetings during which pre-set readings on a particular topic are discussed. The enhanced Level 3 undergraduate course units combine lectures or seminars, depending on the aim of the course unit, with more optional tutorials. The aim across all teaching forms is to create the opportunity for intensive scholarly work, with areas of focus determined by the participants and their individual interests, which can be investigated in considerable depth.
If you wish to discover more about the academic staff in the department, please visit:http://www.alc.manchester.ac.uk/about/people/staff-directory/linguistics-english-language-staff/
Course units are assessed at the end of the semester during which they are offered. All taught course units except Introduction to Grammatical Theory and Phonetics and Phonology are assessed by examined coursework only. All course units include formative assessments to ensure interim feedback during the semester.
Deadlines for assessments are stated in the MA in Linguistics and English Language 2016-2017 Programme Handbook .
The Linguistics MA consists of the following elements:
Alternatives to the compulsory course units in Introduction to Grammatical Theory and/or Phonetics and Phonology may be chosen if students can provide evidence of having covered comparable material in their undergraduate degree; in borderline cases, students may be asked to take a proficiency test in Welcome Week.
The optional course units can be selected to follow specialised pathways, which include Sociolinguistics, Phonetics and Phonology, Syntax and Semantics, Typology, and Romani Linguistics. One or two course units may take the form of Directed Reading units, which are individual or small group seminars about set readings on a particular topic. These are available after consultation with an appropriated member of staff and the PGT Officer. One or two course units may also be taken from a list of MA course units available in other subject areas within the School of Arts, Languages and Cultures, or from a list of enhanced Level-3 undergraduate course units in Linguistics and English Language, which supplement the MA specific course units on offer.
For details of postgraduate course units currently on offer, please refer to the Programme Handbook.
All postgraduate students on this programme can make use of the purpose-designed Centre for Graduate Studies within the Ellen Wilkinson Building. The Centre opened in 2014 and provides state-of-the-art facilities for postgraduate study. These include 30 computers, LaserJet printers, `hot-desk' facilities for around 50 students (including workstation facilities for students with disabilities), and 132 secure lockers. The Centre is a meeting place for postgraduate taught and postgraduate research students, and also has several areas to relax, socialise and network.
In addition to the Centre for Graduate Studies, the University has five major computer clusters, together with many smaller clusters. In total there are more than 10,000 PCs and workstations across the campus. All provide access to standard office software as well as specialist programs, and all are connected to the campus network and internet. Every student is registered for email, file storage and internet access. If more demanding computer access is required, our specialist computing division Manchester Computing can provide high-end and specialist computing services.
The University Library is one of the best-resourced academic libraries in the UK and is widely recognised as one of the world's greatest research libraries. We also have one of the largest academic IT services in Europe - supporting world-class teaching and research.
Practical support and advice for current students and applicants is available from the Disability Advisory and Support Service. Email: [email protected]
