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Linguistics at Cambridge Linguistics is the systematic study of human language.Superficially, there’s huge variation among the world’s languages, and linguists not only describe the diverse characteristics of individual languages but also explore properties which all languages share and which offer insight into the human mind.
The study of linguistics draws on methods and knowledge from a wide range of disciplines MPhil/MEd in Research in Second Language Education (RSLE) is a one-year research master's course with a strong emphasis on methodology training. The disciplines and perspectives that are heavily drawn upon in this course include applied/educational linguistics, sociolinguistics, second language acquisition, .The study of linguistics draws on methods and knowledge from a wide range of disciplines.
For instance, the study of meaning draws on philosophy, the analysis of the speech signal uses methods from physics and engineering, and the study of language acquisition draws on psychology.This variety is one of the things that makes linguistics fascinating: one day you might be poring over a medieval text for evidence of how the grammar of a language has changed, and the next, learning about how the larynx creates sound energy for speech, or how we can record brain responses in a categorisation task.The Department The Department has internationally acknowledged expertise across an unusually wide range of language-related disciplines, both theoretical and applied This variety is one of the things that makes linguistics fascinating: one day you might be poring over a medieval text for evidence of how the grammar of a language has changed However, depending on the topic they choose, some students may incur some additional costs (eg research trips) for their dissertation in Year 3..The Department The Department has internationally acknowledged expertise across an unusually wide range of language-related disciplines, both theoretical and applied.Situated within the Faculty of Modern and Medieval Languages, the Department of Theoretical and Applied Linguistics benefits greatly from colleagues specialising in the linguistics of particular European languages.
Additional course costs There are no compulsory additional course costs for Linguistics.However, depending on the topic they choose, some students may incur some additional costs (eg research trips) for their dissertation in Year 3.Full course details are available on the Department of Theoretical and Applied Linguistics website and if you have any queries about resources/materials, please contact the Department.Changing course To be able to change course, you need the agreement of your College that any change is in your educational interests, and you must have the necessary background in the subject to which you wish to change – in some cases you may be required to undertake some catch-up work or take up the new course from the start/an earlier year.
If you think you may wish to change course, we encourage you to contact a College admissions office for advice.
You should also consider if/how changing course may affect any financial support arrangements.Part II of Linguistics is also available to some undergraduates who have successfully completed Part I of another course.It may be taken either as a two-year course or as a one-year course for those who have taken a two-year Part I.Alternatively, it's possible to choose the linguistics options within the Modern and Medieval Languages course.After Linguistics The broad interdisciplinary training we offer provides our graduates with transferable skills that are greatly sought after by employers; for example, students learn to analyse quantitative data, construct abstract grammatical models, and test alternative hypotheses.
Linguistics graduates find employment in a wide range of professions, from journalism to banking.Linguistics provides particularly good preparation for vocational training too, in fields such as speech therapy, teaching, speech and language technology (eg developing speech recognition and translation software), law, translation, interpreting, and even forensic linguistics.
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Familiarity with a range of human languages is also a huge advantage in careers where rapid learning of unfamiliar languages may be involved, such as in the Diplomatic Service.Course Outline Course outline Linguistics is divided into a one-year Part I and a two-year Part II, and teaching is delivered through a mixture of lectures, supervisions and practical sessions.A typical week involves four hours of lectures, two hours of supervisions (in groups of six students in Part I, and two students in Part II), and one to two hours of practical classes 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 .
A typical week involves four hours of lectures, two hours of supervisions (in groups of six students in Part I, and two students in Part II), and one to two hours of practical classes.
Assessment is by written examination, and practical exams in phonetics, as well as a dissertation in the final year.Year 1 (Part I) Part I provides a foundation across a wide range of linguistics taught within the Department of Theoretical and Applied Linguistics.You take the following four papers: Sounds and Words – an introduction to phonetics, phonology and morphology Structures and Meanings – looking at topics including sentence construction, semantics and pragmatics Language, Brain and Society – considering language and its relation to cognitive and social phenomena History and Varieties of English – a linguistic analysis of contemporary variation and historical change in English Year 2 (Part IIA) Part II allows you to specialise in the areas which particularly interest you.There’s a wide choice of topics to choose from, taught by the Department as well as other faculties and departments.In Part IIA, you take four papers chosen from a wide range of options dealing with different linguistic levels and perspectives, which may include the following (not all options are offered every year): Phonetics History of English/History of French Language Acquisition Language Typology Key Facts Full-time enrolled 2017-18: 18 Part-time enrolled 2017-18: 6 % International: 75% % Home: 25% MPhil/MEd in Research in Second Language Education (RSLE) is a one-year research master's course with a strong emphasis on methodology training.
It is intended for students who have a background in languages and seek to develop substantial knowledge and skills in researching language education.A major part of the degree involves developing a good understanding of a wide range of empirical and non-empirical research methods in social sciences.The course provides an excellent transition to and a valuable introductory experience for full-scale PhD research.The course adopts a broad definition of the term 'second language education'.It considers issues relating to the teaching and learning of modern languages in English schools and communities (e.
French, German, Spanish, Italian, Chinese, Russian, Arabic, Urdu, etc.) as well as issues relating to the teaching of English as a Second/Foreign/Additional Language across the world.A special feature of the course is its broad-based training which enables students to combine linguistic and social analysis in their research.The disciplines and perspectives that are heavily drawn upon in this course include applied/educational linguistics, sociolinguistics, second language acquisition, sociocultural theory, bilingualism in education, and language teacher development.
Why choose us? Create grounds for cross-fertilisation between Modern Foreign Language, Community/Heritage Language and English as a Second/Foreign/Additional Language through the unique design of the course Provide a broad base of training which enables students to combine linguistic and social analysis in their research Offer an interdisciplinary perspective drawing on insights from psychology, anthropology, sociology, linguistics and education Collaborate with Cambridge Language Sciences Initiative, providing opportunities for students to study courses offered by other departments Well connected to the University's interdisciplinary research initiatives on Migration, Cultivate a strong research culture and an intellectually stimulating environment to advance knowledge and scholarship Provide one-to-one supervisions and individual support by a dedicated team with specialist expertise Support an international alumni network comprising former students and visitors on the programme for networking and collaboration What does this course offer? We aim to combine in-depth critical understanding of the main currents of conceptual thinking in second language education with practical training in conducting L2 empirical research.You will: examine key theoretical perspectives which have influenced recent research in second language education and relate these to the wider context of social and educational research; develop critical skills with respect to the literature on research in second language education, focusing mainly on core readings which provide instructive examples of empirical research; analyse and develop effective methodologies in conducting empirical research in second language teaching and learning in schools and communities; investigate language and cultural issues from an international and comparative perspective.
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How is the course organised? The MPhil/MEd programme comprises two strands of courses: Research Methods Strand (RMS) and Research in Second Language Education (RSLE) course.RSLE has four modules: Module 1 - Module 2 - Module 3 - Module 4 - Research Context: Multiple Approaches to Researching Language, Learning and Education The four modules cover various topics, each focusing on the theme of Learning, Teaching, Policy and Research respectively.These themes provide overall structural coherence to the course Add at least 4 hours of research, an hour for editing, and another half an hour for proofreading. You get 8 hours for a single one-page essay. And if you are a student of a high-level university (think London School of Economics) in the UK essays will have to meet an incredibly high quality standard, which means you should .
These themes provide overall structural coherence to the course.
The taught sessions in this strand are scheduled on Mondays and Wednesdays.Part-time PGCM-MEd students are required to complete half of each module and attend the sessions on Wednesdays only.Students on the MPhil course complete the course in one year and have teaching sessions throughout the week Course information for prospective postgraduate students on our MA Applied Linguistics taught masters degree programme at the University of Birmingham. optional modules to ensure that you develop a solid foundation in the discipline area whilst also having the flexibility to pursue your own specific research interests..Students on the MPhil course complete the course in one year and have teaching sessions throughout the week.Students on the PGCE-MEd course have one teaching session per week on a Wednesday afternoon (2-7pm).Research Method Strand Alongside these modules, you will benefit from 32 hours of Research Methods teaching.This is taught across all thematic Masters within the Faculty of Education, allowing you to interact with others on different courses.It covers a broad range of social science research methods and is essential for Masters level understanding and critical engagement with the research literature in many specialist areas and in education more generally.Through this strand you will acquire the skills necessary for designing, conducting, analysing, interpreting and reporting a research study for thesis.Who are the course team? The course is staffed by a team of established faculty members who provide teaching and supervision.
Other colleagues also contribute one-off lectures and tutorial support:Dr Yongcan Liu 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! What happens on the course? MA Computational Linguistics, when studied full-time, comprises of three semesters worth 60 credits each.
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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 .
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.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.Machine translation and other natural language processing applications The automatic translation of text using statistics best website to purchase custom antique literature thesis proposal Doctoral 5 pages / 1375 words American.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.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.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.Machine learning for language processing Computer techniques for automatically classifying natural language texts, for NLP tasks such as making summaries of text automatically.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.
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Why Wolverhampton? Figures speak louder than words: the University of Wolverhampton boasts an outstanding graduate employability rate – 96% of students are in work or further training six months after graduation! Facilities The course will be run on the City Campus, which is situated in the heart of the city centre, only a seven-minute walk from both the train station and St Georges Metro terminus, and a five-minute walk from the main bus station.The newly renovated City Campus features: - The Harrison Learning Centre, which has four floors of electronic, online, hardcopy and audio-visual materials; - The Technology Centre, which has 500 PCs available for your personal use; - A 'Social Learning Space', which incorporates a coffee and sandwich bar with islands of PCs and comfortable seating; - On-campus food court, shops, and outlets such as Starbucks; - Sports facilities including a gym and a sports hall; - Three Halls of Residence for 1,000 students, located only a short walk from the campus and next to a 24-hour supermarket; - City centre location, close to all amenities (post office, restaurants, shopping centres, art gallery, theatre etc.); - Excellent train connections to all major cities (Birmingham: 20 minutes, London: 1 hour 50 minutes) Best website to get a linguistics term paper confidentiality College Sophomore 130 pages / 35750 words American A4 (British/European).
); - Excellent train connections to all major cities (Birmingham: 20 minutes, London: 1 hour 50 minutes).
The researchers leading the course are international experts in their fields.Michael Oakes Research Group in Computational Linguistics Dr 5 Sep 2017 - The Oxford Philosophy Faculty is the largest philosophy department in the UK, and one of the largest in the world. Philosophy Final University examinations: Eight papers; two practical portfolios (for Psychology); a research project or thesis may also be taken (depending upon the combination of courses)..Michael Oakes Research Group in Computational Linguistics Dr.Oakes is the author of the books “Statistics for Corpus Linguistics” and “Literary Detective Work on the Computer”.Modules: Computational Linguistics, Corpus Linguistics with R.
Constantin Orasan Research Group in Computational Linguistics Dr.Orasan is the coordinator of the EU-funded EXPERT programme on Machine Translation which comprised of a consortium of 6 academic partners, 3 commercial partners and 2 associated partners.Modules: Python Programming, Machine Learning.Victoria Yaneva Research Group in Computational Linguistics Dr.Yaneva was recently featured on ITV news for her work on simplifying text for people with autism.Modules: Research Methods and Professional Skills.Patrick Hanks, a world authority in Lexicography, and Prof.
Ruslan Mitkov, Director of the Research Institute of Information and Language Processing, Editor of the “Oxford Handbook of Natural Language Processing” and Executive Editor of the Cambridge Journal “Natural Language Engineering”.Learn more about our Research Group through visiting our website.Find out about current members, recent news, projects and read past papers written./ Follow us on Twitter to keep up to date with our latest news and developments at @RGCL WLV.Watch recently graduated PhD student and now Research Associate, Dr.
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Victoria Yaneva, share her research on ITV Central into innovative technology to assist people with Autistic Spectrum Disorder with their digital text comprehension.Vinita Nahar’s (past group member) innovative research into technology to detect Cyberbullying online /news/central/topic/cyber-bulling/.What our students think What I have enjoyed about this course? I enjoyed being taught various topics Teresa Tinsley is a linguist with over. 30 years' experience in national organisations devoted to languages education. At CILT, the National Centre for Languages, she led the organisation's information, research and publications activities. She established CILT's. 'Language Trends' series of reports and produced statistics .
What our students think What I have enjoyed about this course? I enjoyed being taught various topics.
This course allowed me to see all the potential of Natural Language Processing--my favourite topic was Corpus Linguistics.
I also enjoyed the projects that we carried out during this course.Who would I recommend it to? I would recommend this course to people interested in linguistics or languages in general to show them that linguistics can also be paired with Computer Science and to those interested in Computer Science, for it could show them a new application to Computer Science Research in Second Language Education Faculty of Education.Who would I recommend it to? I would recommend this course to people interested in linguistics or languages in general to show them that linguistics can also be paired with Computer Science and to those interested in Computer Science, for it could show them a new application to Computer Science.What I have gone on to do? I am now looking for a graduate job that would allow me to use the skills I learnt during this course artandscienceofsex.com/report/astronomy.php.What I have gone on to do? I am now looking for a graduate job that would allow me to use the skills I learnt during this course.Besides, I am writing a paper in natural language processing, which will probably be published in the International Journal of Corpus Linguistics.How I have benefitted from this course? Thanks to this course, I know what I want to do in the future; I want to be a Professor of Corpus Linguistics.
I also have got several opportunities for a PhD in the US.Besides, I also learnt how to use a few programming languages, which is of great importance nowadays if one wants to find a job.Feedback from Student B: What I have enjoyed about the course? I enjoyed Python.It helped me a lot to develop a good understanding of how a program works and get manipulated by users in order to achieve the results required.Even though I have finished the course, I am still developing my skills in Python to create a simple project based on deep learning in the future.
Who would I recommend it to? I would recommend this course to the individuals who seek to increase their knowledge of Machine Learning and Natural Language Processing.These two fields are enjoyable and challenging at the same time to me.Therefore, the people who want to understand how, say, SIRI works, should join this course.What I have gone on to do? Hopefully, I will do my PhD in the future.I am planning to take my skills in programming further beyond what I have learnt from the course.
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Also, I will, hopefully, benefit my beloved Arabic language in the field of NLP.Feedback from Student C: What I have enjoyed about the course? I particularly enjoyed the programming aspects of the course.What I have gone on to do? I am a DevOps engineer [email protected] Our cutting-edge MA course is delivered by a dynamic team of linguists, each with their own research specialisms. Our range of expertise includes corpus linguistics (computer-assisted discourse analysis), acoustic phonetics (useful for speech therapy), cognitive stylistics (how our minds .What I have gone on to do? I am a DevOps engineer.
How I have benefitted from this course? I used it as a conversion degree to get into computer science.Career path 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 MA Applied Linguistics course Postgraduate degree study nbsp.
Career path 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.What skills will you gain? 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.
Entry requirements The entry requirement would normally be a 2:1 undergraduate degree in a computer science, linguistics, translation, languages or mathematics.Exceptionally, a 2:2 would be considered upon a successful interview.Students with a linguistics or language-related discipline but without a background in computer science would be appropriately advised by the course team and additional specialist technical support provided where necessary.