Understanding the natural language: a case study of the academic interview domain | |
| Author | Chaichan Poonperm |
| Call Number | AIT Thesis no.CS-19-03 |
| Subject(s) | Intelligent control systems Machine translating Text processing (Computer science) Natural language processing (Computer science) |
| Note | A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Computer Science, School of Engineering and Technology |
| Publisher | Asian Institute of Technology |
| Series Statement | Thesis ; no. CS-19-03 |
| Abstract | The initiation of this thesis is how to understand the natural language that contains an enormous number of ambiguity aspects. With the aim of observing difficulties and coping with them, a system will be developed by applying natural language understanding (NLU). However, dealing with the natural language demands a lot of processing, word, syntax, semantic analyzing and etc. Most of these tasks are successful and can be used in many applications, a search engine for example. The most difficult task of Natural Language Processing is Natural Language Understanding since the correct meaning has to be precisely determined and there are a huge number of possible meanings. Therefore, the focus of this thesis is this obscure component. The system going to be developed is a pipeline with several subsystems taken from other publicly available sources except some of the NLU part. The understanding part will be deliberately examined in order to disambiguate any ambiguities and yield the result the user needs. To make it feasible to solve, NLU will be applied to a small specific domain, the academic interview domain in which the vocabulary and number of word meaning size shrink and the language structure is much simpler. A number of sample AIT applications will be used to find out the language specification. Eventually, essential knowledge gained from this thesis will potentially be useful in a bigger domain. |
| Year | 2019 |
| Corresponding Series Added Entry | Asian Institute of Technology. Thesis : no. CS-19-03 |
| Type | Thesis |
| School | School of Engineering and Technology (SET) |
| Department | Department of Information and Communications Technologies (DICT) |
| Academic Program/FoS | Computer Science (CS) |
| Chairperson(s) | Phan Minh Dung; |
| Examination Committee(s) | Dailey, Matthew N.;Bohez, Erik L.J.;Phan Minh Thang; |
| Scholarship Donor(s) | His Majesty the King’s Scholarships (Thailand); |
| Degree | Thesis (M. Eng.) - Asian Institute of Technology, 2019 |