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- 9Natural language processing
- 4Computational linguistics
- 3Machine learning
- 3Natural Language Processing
- 3Transliteration
- 15Graduate and Postdoctoral Studies (GPS), Faculty of
- 15Graduate and Postdoctoral Studies (GPS), Faculty of/Theses and Dissertations
- 2Histories of Humanities Computing
- 2Histories of Humanities Computing/Histories of Humanities Computing
- 1ERA General Collection
- 1ERA General Collection/Research Materials (ERA General)
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John B. Smith Archive - Complete
1966-2011
The complete bundle of the works of John B. Smith, covering the period of 1966 through 2011 as represented by Dr. Smith on his archive website at http://www.cs.unc.edu/Research/jbsArchive/ All files have been provided by Dr. Smith from his personal collection. Over the course of his academic...
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Fall 2010
Natural Language Processing (NLP) develops computational approaches to processing language data. Supervised machine learning has become the dominant methodology of modern NLP. The performance of a supervised NLP system crucially depends on the amount of data available for training. In the...
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Spring 2023
The gaming industry has experienced a sharp growth in recent years, surpassing other popular entertainment segments, such as the film industry. With the ever-increasing scale of the gaming industry and the fact that players are extremely difficult to satisfy, it has become extremely challenging...
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Fall 2011
Grapheme-to-phoneme conversion (G2P) and machine transliteration are important tasks in natural language processing. Supplemental data can often help resolve difficult ambiguities: existing transliterations of the same word can help choose among a G2P system’s candidate output transcriptions;...
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Fall 2014
There is no doubt that Internet becomes one of the most important sources of information. At the same time the amount of information stored on the web and available for users becomes enormous. In order to make this information more accessible and create prospects for software to process it...
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Fall 2017
In recent years fake news has become a more serious problem. This is mainly due to the popularity of social networks, search engines and news ag- gregators that propagate fake news. Classifying news as fake is a hard problem. However it is possible to distinguish between fake and real news, by...
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2014
Campbell, J., Hindle, Abram, Amaral, J.N.
A frustrating aspect of software development is that compiler error messages often fail to locate the actual cause of a syntax error. An errant semicolon or brace can result in many errors reported throughout the file. We seek to find the actual source of these syntax errors by relying on the...
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Spring 2024
This work aims to address the lack of clear theoretical foundations in computational lexical semantics, the sub-field of natural language processing pertaining to computing with the meaning of words. Semantic tasks are of interest for end-user applications (e.g. contextual translation),...
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Fall 2014
Machine transliteration is important to machine translation and cross-lingual information retrieval. Previous works show that machine transliteration can benefit from supplemental phonetic transcriptions and transliterations from other languages through a re-ranking framework. In this thesis, I...
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Fall 2022
Sentence reconstruction and generation are essential applications in Natural Language Processing (NLP). Early studies were based on classic methods such as production rules and statistical models. Recently, the prevailing models typically use deep neural networks. In this study, we utilize deep...