LiteratureLiterature is any collection of written work, but it is also used more narrowly for writings specifically considered to be an art form, especially prose fiction, drama, poetry, and including both print and digital writing. In recent centuries, the definition has expanded to include oral literature, also known as orature much of which has been transcribed. Literature is a method of recording, preserving, and transmitting knowledge and entertainment, and can also have a social, psychological, spiritual, or political role.
Statistical machine translationStatistical machine translation (SMT) was a machine translation approach, that superseded the previous, rule-based approach because it required explicit description of each and every linguistic rule, which was costly, and which often did not generalize to other languages. Since 2003, the statistical approach itself has been gradually superseded by the deep learning-based neural network approach. The first ideas of statistical machine translation were introduced by Warren Weaver in 1949, including the ideas of applying Claude Shannon's information theory.
Spectral densityThe power spectrum of a time series describes the distribution of power into frequency components composing that signal. According to Fourier analysis, any physical signal can be decomposed into a number of discrete frequencies, or a spectrum of frequencies over a continuous range. The statistical average of a certain signal or sort of signal (including noise) as analyzed in terms of its frequency content, is called its spectrum.
Western literatureWestern literature, also known as European literature, is the literature written in the context of Western culture in the languages of Europe, and is shaped by the periods in which they were conceived, with each period containing prominent western authors, poets, and pieces of literature. The best of Western literature is considered to be the Western canon. The list of works in the Western canon varies according to the critic's opinions on Western culture and the relative importance of its defining characteristics.
Spectral density estimationIn statistical signal processing, the goal of spectral density estimation (SDE) or simply spectral estimation is to estimate the spectral density (also known as the power spectral density) of a signal from a sequence of time samples of the signal. Intuitively speaking, the spectral density characterizes the frequency content of the signal. One purpose of estimating the spectral density is to detect any periodicities in the data, by observing peaks at the frequencies corresponding to these periodicities.
Kagoshima dialectThe Satsugū dialect, often referred to as the Kagoshima dialect, is a group of dialects or dialect continuum of the Japanese language spoken mainly within the area of the former Ōsumi and Satsuma provinces now incorporated into the southwestern prefecture of Kagoshima. It may also be collectively referred to as the Satsuma dialect (薩摩方言 or 薩摩弁 ), owing to both the prominence of the Satsuma Province and the region of the Satsuma Domain which spanned the former Japanese provinces of Satsuma, Ōsumi and the southwestern part of Hyūga.
Text corpusIn linguistics and natural language processing, a corpus (: corpora) or text corpus is a dataset, consisting of natively digital and older, digitalized, language resources, either annotated or unannotated. Annotated, they have been used in corpus linguistics for statistical hypothesis testing, checking occurrences or validating linguistic rules within a specific language territory. In search technology, a corpus is the collection of documents which is being searched.
