We present the case study of MB-a bilingual child with Down syndrome (DS) who speaks Russian (first language [L1]) and English (second language [L2]) and has learned to read in two different alphabets with different symbol systems. We demonstrate that, in terms of oral language, MB is as proficient in Russian as English, with a mild advantage for reading in English, her language of formal instr...

Database of contemporary Russian speech is being created for the Computer Fund of the Russian Language. Database consists of the corpus of sound files and their descriptions. Database sound material is formed by recordings of the Phonetically Representative Texts pronounced by 1) standard Russian speakers, 2) regional Russian speakers, 3) speakers from the former USSR republics to which Russian...

Speech is the most natural way of human communication and in order to achieve convenient and efficient human–computer interaction implementation of state-of-the-art spoken language technology is necessary. Research in this area has been traditionally focused on several main languages, such as English, French, Spanish, Chinese or Japanese, but some other languages, particularly Eastern European ...

A bilingual’s two lexicons are linked rather than isolated from each other. An implication of this linkage is that the contents of one might influence the contents of the other. We examined naming of common household objects by early, childhood, and late Russian-English bilinguals to assess a possible second language (L2) English influence on first language (L1) Russian naming patterns and typi...

We present a deterministic algorithm for Russian inflection. This algorithm is implemented in a publicly available web-service www.passare.ru which provides functions for inflection of single words, word matching and synthesis of grammatically correct Russian text. The inflectional functions have been tested against the annotated corpus of Russian language OpenCorpora [18].

Two studies of autobiographical memory explored the hypothesis that memories become more accessible when the linguistic environment at retrieval matches the linguistic environment at encoding. In Experiment 1, Russian-English bilinguals were asked to recall specific life experiences in response to word prompts. The results supported the hypothesis of language-dependent recall: Participants retr...

The RNC now it is a 120 million-word collection of Russian text, thus, it is the most representative and authoritative corpus of the Russian language. It is available in the Internet at www.ruscorpora.ru. The RNC contains texts of all genres and types, which covers Russian from 19 up to 21 centuries. The practice of national corpora constructing has revealed that it’s indispensable to include i...

In this paper we describe the design and deployment of a controlled authoring module in REPAT, a hybrid Russian-English machine translation system for patent claims. Controlled authoring is an interactive procedure that is interwoven with hybrid parsing and simplifies the automatic stage of analysis. Implemented in a preediting tool the controlled authoring module can be stand-alone and pipelin...

This paper presents the results of a pilot study of stress interval durations in Greek and Russian. Native speakers of each language were recorded producing utterances in which the number of syllables between stressed syllables varied. The results showed a noticeable tendency towards isochrony in Greek but not in Russian, according to which there is an inverse relation between the number of syl...

In this paper the main differences between language modelling of Russian and English are examined. A Russian corpus and a comparable English corpus are described. The effects of high inflectionality in Russian and the relationship between the outof-vocabulary rate and vocabulary size are investigated. Standard word and class N -gram language modelling techniques are applied to the two corpora a...