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Regular version of the site
Book
The many facets of agreement

Lincom Europa, 2023.

Article
Gender variation in Russian nouns
In press

Магомедова В. Д., Slioussar N.

Voprosy Jazykoznanija. 2022.

Book chapter
A matter of degree? The domain of wetness in a typological perspective

Reznikova T., Panina A. S., Kruglyakova V.

In bk.: The Typology of Physical Qualities. Amsterdam: John Benjamins Publishing Company, 2022. Ch. 3. P. 57-78.

Working paper
Language and Identity during Language Shift: The Case of the Republic of Karelia after 2018

Mariia Lapina, Daria Oleinik.

Linguistics. WP BRP. НИУ ВШЭ, 2022. No. 112.

Tag "research projects" – News

Student Research Paper Competition 2022 Now Open at HSE University

Student Research Paper Competition 2022 Now Open at HSE University
The start of a new academic year is an excellent time to plan the next steps in your academic career. On September 1, HSE University announced the start of its annual Student Research Paper Competition (SRPC-2022). Participation is open to students of Russian and international universities and to 2022 graduates. Last year, a total of 2,196 papers were submitted to the SRPC, of which 435 were from external participants.

Researchers Investigate Differences Between Post-Stroke and Post-Surgery Aphasia

Researchers Investigate Differences Between Post-Stroke and Post-Surgery Aphasia
Researchers from the HSE Centre for Language and Brain worked with Russian doctors to address the differences between the symptoms of post-stroke aphasia and aphasia caused by glioma surgery. Post-surgery patients demonstrate moderately severe speech disorders that impact all aspects of language processing simultaneously. Understanding these differences will help doctors develop more effective therapies for speech disorders caused by surgical removal of gliomas. The results of the study were published in Brain and Language.

In 2021, members of the Linguistic Convergence Laboratory published three articles on the Russian language in Dagestan

In 2021, members of the Linguistic Convergence Laboratory published three articles on the Russian language in Dagestan
Dagestan is a relatively new territory for the spread of the Russian language. At the end of the 19th century, very few people spoke Russian here. In addition to indigenous languages, which Dagestan is very rich in (linguists count more than forty languages ​​in this small territory), local people spoke Azerbaijani, Georgian, Chechen and Arabic. But there has never been a language common for all residents of Dagestan (the language of interethnic communication or lingua franca). Russian became the first such language for Dagestan.

Second cycle of the online course on the East Caucasian languages by the Linguistic Convergence Laboratory

Second cycle of the online course on the East Caucasian languages by the Linguistic Convergence Laboratory
This fall the Linguistic Convergence Laboratory will organize a free online course on the East Caucasian (alias Nakh-Daghestanian) language family. The course will start on November 3.

The International Linguistic Convergence Laboratory has launched a new website with resources

The International Linguistic Convergence Laboratory has launched a new website with resources
One of the tasks of the International Linguistic Convergence Laboratory is the creation of new open electronic resources dedicated to the minor languages ​​of Russia, Russian dialects and contact varieties of Russian speech. For more than four years, these resources have become so abundant that the laboratory had to acquire its own server and create a special website where all the resources are conveniently located.

HSE Researchers Compare Expressive and Receptive Language Abilities of Russian-speaking Children with ASD for the First Time

HSE Researchers Compare Expressive and Receptive Language Abilities of Russian-speaking Children with ASD for the First Time
Researchers from the HSE Centre for Language and Brain and their Russian and American colleagues have become the first to compare expressive and receptive language abilities of Russian children with Autism Spectrum Disorder (ASD) at different linguistic levels. Their work helped them refute the hypothesis that children with ASD understand spoken language less well than they produce it. The study was published in Research in Developmental Disabilities.

Reformatting Research Activity: First Large-Scale Projects Launched at HSE University

Faculty of Humanities
Less than a year ago, the Faculty of Humanities at HSE University launched four large-scale projects, bringing together representatives of different disciplines from different departments and campuses of the University. Their goals, content, staffing and expected results were presented at a meeting of the Rector’s Council. Other departments have been tasked with developing their own large-scale projects, which HSE University will be able to include in its application for the ‘Priority 2030’ programme.

The team of the Center for Language and Brain conducted a study at a school in Nizhny Novgorod

The team of the Center for Language and Brain conducted a study at a school in Nizhny Novgorod
From April 15 to 23 in Nizhny Novgorod, members of the Center for Language and Brain conducted a study among pupils in grades 2 and 4.

Members of the Linguistic Convergence Laboratory participated in the webinar “Languages, Dialects and Isoglosses of Anatolia, the Caucasus and Iran”

Members of the Linguistic Convergence Laboratory participated in the webinar “Languages, Dialects and Isoglosses of Anatolia, the Caucasus and Iran”
The sixth session of the webinar “Languages, Dialects and Isoglosses of Anatolia, the Caucasus and Iran” hosted a talk by Chiara Naccarato, Samira Verhees, Michael Daniel and Timofey Mukhin.

Predicting Grammatical Properties of Words Helps Us Read Faster

Predicting Grammatical Properties of Words Helps Us Read Faster
Psycholinguists from the HSE Centre for Language and Brain found that when reading, people are not only able to predict specific words, but also words’ grammatical properties, which helps them to read faster. Researchers have also discovered that predictability of words and grammatical features can be successfully modelled with the use of neural networks. The study was published in the journal PLOS ONE.