While our knowledge about ancient civilizations comes mostly from studies in archaeology and history books, much can also be learned or confirmed from literary texts. Using natural language processing techniques, we present aspects of ancient China as revealed by statistical textual analysis on the Complete Tang Poems, a 2.6-million-character corpus of all surviving poems from the Tang Dynasty ...

Second language vocabulary can be learned incidentally while the learner is engaged in extensive reading or reading for meaning, inferring the meaning of unknown words (Huckin & Coady, 1999; Hulstijn, 1992; Krashen, 1993; Pigada & Schmitt, 2006). 12 Korean learners of English read authentic literary texts and were tested on their knowledge of vocabulary before reading (pretest), immediately aft...

Of the many dilemmas facing the assessment of literary competence, one is the extent to which language should constitute part of the target construct intended to be measured. Some argue for the construct-irrelevance of language and hence recommend that it be eliminated or minimized in favor of an exclusive focus on literary competence. In practice, this does not seem to be the case, as language...

Despite numerous studies, the aspect of word formation nouns in modern literary German language Germany and Austria is yet to be fully covered.
 The purpose this study determine patterns word-formation substantives Austrian Standard using example lexeme “Kraut” (cabbage).
 We used continuous sampling method lexicographical literature for German.
 As a result study, universal uniq...

Recently, considerable attention has been paid to word embedding algorithms inspired by neural network models. Given a large textual corpus, these algorithms attempt to derive a set of vectors which represent the corpus vocabulary in a new embedded space. This representation can provide a useful means of measuring the underlying similarity between words. Here we investigate this property in the...