Диссертация, Helsinki University of Technology, 2006, -122 pp. In order to develop computer applications that successfully process natural language data (text and speech), one needs good models of the vocabulary and grammar of as many languages as possible. According to standard linguistic theory, words consist of morphemes, which are the smallest individually meaningful...
Диссертация, University of Toronto, 2015, -108 pp. The deep learning approach to machine learning emphasizes high-capacity, scalable models that learn distributed representations of their input. This dissertation demonstrates the efficacy and generality of this approach in a series of diverse case studies in speech recognition, computational chemistry, and natural language...
Thesis Presented in Partial Fulfillment for the Degree of Doctor. : 6D070400 — Department of Computer Sciences Faculty of Engineering and Natural Sciences. — Suleyman Demirel University. — Kaskelen: 2021. — 117 p. Supervisor: prof. Amirgaliyev Y.N External supervisor: Head of Department of National University of Ukraine named after T.Shevchenko, prof. Krak Y.V. It should be...
Диссертация, Helsinki University of Technology, 2006, -86 pp. The language model is one of the key components of a large vocabulary continuous speech recognition system. Huge text corpora can be used for training the language models. In this thesis, methods for extracting the essential information from the training data and expressing the information as a compact model are...
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