Translingual text within a meaning-generating context of Russian literature

Generating text in context

While the World Wide Web sets the scene for the future of information sciences, a great opportunity and challenge is created for researchers in natural language generation. The present WWW paradigm in which the user is looking for information on the net, trying to interpret it, to determine what is important and useful becomes problematic as the amount of information explodes. A new paradigm ne...

Cryptic Crossword Clues: Generating Text with a Hidden Meaning

This paper discusses the generation of cryptic crossword clues: a task that involves generating texts that have both a surface reading, based on a natural language interpretation of the words, and a hidden meaning in which the strings that form the text can be interpreted as a puzzle. The process of clue generation realizes a representation of the hidden, puzzle meaning of the clue through the ...

Russian Literature in the Christian Context

Translingual Mining from Text Data

Like full-text translation, cross-language information retrieval (CLIR) is a task that requires some form of knowledge transfer across languages. Although robust translation resources are critical for constructing high quality translation tools, manually constructed resources are limited both in their coverage and in their adaptability to a wide range of applications. Automatic mining of transl...

on the comparison of keyword and semantic-context methods of learning new vocabulary meaning

the rationale behind the present study is that particular learning strategies produce more effective results when applied together. the present study tried to investigate the efficiency of the semantic-context strategy alone with a technique called, keyword method. to clarify the point, the current study seeked to find answer to the following question: are the keyword and semantic-context metho...