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Skip to Search Results- 11NLP
- 3Natural Language Processing
- 2Computational linguistics
- 2Machine Learning
- 2Natural language processing
- 2Transliteration
- 1Bergsma, Shane A
- 1Campbell, Hazel V
- 1Gharaat, Mohamad Ali
- 1Jiampojamarn, Sittichai
- 1Mahamedi, Elham
- 1Mavrin, Borislav
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Fall 2022
As people age, they adjust how they associate objects. We examine the interplay between age and various aspects of object similarity. For this, we perform two experiments: one between adults aged 25–35 and 50–60 and another between six-year-olds and adults. Between 25–35- and 50–60-year-olds, we...
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Fall 2022
Building intelligent open-domain dialogue systems is a long-standing goal of artificial intelligence. These systems, also known as chatbots, aim to hold conversations with humans in an open-ended fashion. However, it is well known that standard encoder-decoder dialogue systems tend to generate...
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Application of Natural Language Processing and Information Retrieval in Two Software Engineering Tools
DownloadFall 2021
Many software engineering problems have traditionally been approached by applying techniques based on static analysis and fixed sets of rules. I created two novel techniques to tackle three software engineering problems: typo location, fix suggestion, and crash report bucket creation. However,...
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Finding reliable resources and Chatting with Mira while considering emotions when the scenario is unscripted
DownloadSpring 2024
The primary wellspring of information, the Internet, abounds with misinfor- mation, particularly in the domains of mental health and psychology. This also affects the reliability and truth of responses of chatbots counting on unverified data. To address this concern, the MIRA project started to...
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Spring 2011
Grapheme-to-phoneme conversion (G2P) is the task of converting a word, represented by a sequence of graphemes, to its pronunciation, represented by a sequence of phonemes. The G2P task plays a crucial role in speech synthesis systems, and is an important part of other applications, including...
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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 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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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...