ReaderBench: Multilevel analysis of Russian text characteristics

ReaderBench, an Environment for Analyzing Text Complexity and Reading Strategies

ReaderBench is a multi-purpose, multi-lingual and flexible environment that enables the assessment of a wide range of learners’ productions and their manipulation by the teacher. ReaderBench allows the assessment of three main textual features: cohesion-based assessment, reading strategies identification and textual complexity evaluation, which have been subject to empirical validations. Reader...

Manual for postediting Russian text

The present study is a practical guide to editors who refine partially machine-translated text as a basis for linguistic analysis. The posteditors' tasks are: to code preferred English equivalents, to code English structural symbols, to resolve grammatic properties, and to code syntactic connections (dependencies). A general introduction to the field of machine translation is contained in The R...

A Multilevel Analysis of Problem-Based Learning Design Characteristics

Bell laboratories Russian text-to-speech system

This paper describes the Bell Labs Russian text-to-speech system, a concatenative system with extensive text-analysis capabilities. The construction of Russian-specific modules will be discussed, including the text-analysis module, the acoustic inventory, the duration module, and the intonation module.

Acoustic characteristics of surprise in Russian questions

This paper reports the results of an experimental phonetic study investigating the production of neutral and surprised interrogatives in Russian. The paper describes F0 and duration parameters of 22 one-word three-syllable ‘yes/no’ questions with the lexical stress on the penultimate syllable pronounced by five speakers of Russian. The speakerindependent differences between the parameters of ne...