| CODE | LLT1501 | ||||||||
| TITLE | HLT Applications 1 | ||||||||
| UM LEVEL | 01 - Year 1 in Modular Undergraduate Course | ||||||||
| MQF LEVEL | 5 | ||||||||
| ECTS CREDITS | 5 | ||||||||
| DEPARTMENT | Institute of Linguistics and Language Technology | ||||||||
| DESCRIPTION | The unit focuses on HLT applications and serves as an introduction to the area and to the computational processing of text and speech, through a focus on 2-3 core tasks taken from this list: - Question Answering and 福利在线免费 Retrieval - Automatic Summarisation - Automatic Speech Recognition and Text-to-Speech Synthesis - Chatbots and Dialogue Systems - Machine Translation. The unit introduces basic concepts, terminology, and methodologies, in particular, highlighting the links and associations between the various areas, as well as providing the necessary theoretical grounding. It also stimulates the students' curiosity about real life applications of HLT. Study-unit Aims: The main aim is to instill a strong degree of enthusiasm in the students for the area of study, namely, HLT. This unit introduces the students to the field of HLT through tasks such as machine translation, automatic summarisation, information extraction, text to speech synthesis and chatbots. It provides them with an overview of the area of study, and, in particular, makes them aware of the practical applications of HLT. At the same time, the unit will help students associate the various strands involved in the twinning of linguistics and computer studies, thus providing a solid basis of knowledge in the area. Learning Outcomes: 1. Knowledge & Understanding By the end of the study-unit the student will be able to: - understand basic concepts and terminology in HLT; - be familiar with the various areas of research that fall under HLT; - understand the links between linguistics and ICT on the basis of practical applications; - identify the areas in which HLT plays a role in everyday life. 2. Skills By the end of the study-unit the student will be able to: - evaluate the merits of different areas of research related to HLT; - appreciate the breadth of scope of this field; - analyse and compare different areas of study and research. Main Text/s and any supplementary readings: The main text is Daniel Jurafsky and James H. Martin. 2000. Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition (1st. ed.). Prentice Hall PTR, USA., particularly "Part II: NLP Applications". An online version of the 2023 draft of the book is available from: https://web.stanford.edu/~jurafsky/slp3/ |
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| STUDY-UNIT TYPE | Lecture and Practicum | ||||||||
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| LECTURER/S | Jessica Nieder (Co-ord.) Marc Tanti |
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The University makes every effort to ensure that the published Courses Plans, Programmes of Study and Study-Unit information are complete and up-to-date at the time of publication. The University reserves the right to make changes in case errors are detected after publication.
The availability of optional units may be subject to timetabling constraints. Units not attracting a sufficient number of registrations may be withdrawn without notice. It should be noted that all the information in the description above applies to study-units available during the academic year 2025/6. It may be subject to change in subsequent years. |
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