update

data.csv

@@ -1,5 +1,5 @@
 year,month,day,author,title,abstract
-2024,10,8,"Igor' Marchenko (University of Groningen) and Roman Ron’ko (HSE University; Vinogradov Russian Language Institute, RAS)",Database of the Dialectological Atlas of the Russian language and the classification of Russian dialects,"In this talk, we will provide an overview of the key functions of the Database of the Dialectological Atlas of the Russian Language (https://da.ruslang.ru/). Additionally, we will present two case studies that utilize this resource. The first case study assesses the stability of dialects using the database alongside dialect corpora, focusing on the dialect vocabulary spoken in a set of villages in the Zapadnodvinsky district of the Tver region. The second is devoted to the classification of Russian dialects using dialectometric methods, specifically multidimensional scaling (MDS). This study draws on data from the Dialectological Atlas of the Russian Language in its entirety, offering four classifications based on individual linguistic levels—morphology, phonetics, syntax, and lexis—as well as a comprehensive classification that accounts for all linguistic features reflected in the atlas. The primary focus of the study will be on distinguishing the differences between eastern and western Russian dialects based on the database materials, as well as offering a historical interpretation of this dialect division."
+2024,10,8,"Igor' Marchenko (University of Groningen) and Roman Ron’ko (HSE University; Vinogradov Russian Language Institute, RAS)",Database of the Dialectological Atlas of the Russian language and the classification of Russian dialects,"In this talk, we will provide an overview of the key functions of the Database of the [Dialectological Atlas of the Russian Language](https://da.ruslang.ru/). Additionally, we will present two case studies that utilize this resource. The first case study assesses the stability of dialects using the database alongside dialect corpora, focusing on the dialect vocabulary spoken in a set of villages in the Zapadnodvinsky district of the Tver region. The second is devoted to the classification of Russian dialects using dialectometric methods, specifically multidimensional scaling (MDS). This study draws on data from the Dialectological Atlas of the Russian Language in its entirety, offering four classifications based on individual linguistic levels—morphology, phonetics, syntax, and lexis—as well as a comprehensive classification that accounts for all linguistic features reflected in the atlas. The primary focus of the study will be on distinguishing the differences between eastern and western Russian dialects based on the database materials, as well as offering a historical interpretation of this dialect division."
 2024,10,1,Yury Lander (HSE University),Differential argument (un)marking: A new survey of alignment in West Circassian,"West Circassian, also erroneously known as Adyghe, is usually characterized in literature as showing ergative alignment in morphology and possibly even in syntax (Gishev 1985; Kumakhov et al. 1996; Kumakhov & Vamling 2006; Kumakhov & Vamling 2009; Lander 2010; Letuchiy 2012; Ershova 2019 inter alia). In this talk I will show that if we consider differential argument marking (see, e.g., Arkadiev & Testelets 2019) and certain syntactic properties of nominals (such as those discussed in Arkadiev et al. 2009; Lander et al. 2021), the actual situation turns out to be much more complex. No novel data will be provided for scholars of Circassian languages, but I am going to discuss various kinds of pressure in the West Circassian alignment system and the related issues (including the distinction between the “canonical” differential object marking and incorporating processes and the alignment preferences displayed by different kinds of nominals)."
 2024,9,24,Irina Politova (HSE University),Reading group: Peter W. Smith et al. (2019) Case and number suppletion in pronouns,"Suppletion for case and number in pronominal paradigms shows robust patterns across a large, cross-linguistic survey. These patterns are largely, but not entirely, parallel to patterns described in Bobaljik (2012) for suppletion for adjectival degree. Like adjectival degree suppletion along the dimension positive < comparative < superlative, if some element undergoes suppletion for a category X, that element will also undergo suppletion for any category more marked than X on independently established markedness hierarchies for case and number. We argue that the structural account of adjectival suppletive patterns in Bobaljik (2012) extends to pronominal suppletion, on the assumption that case (Caha 2009) and number (Harbour 2011) hierarchies are structurally encoded. In the course of the investigation, we provide evidence against the common view that suppletion obeys a condition of structural (Bobaljik 2012) and/or linear (Embick 2010) adjacency (cf. Merchant 2015; Moskal and Smith 2016), and argue that the full range of facts requires instead a domain-based approach to locality (cf. Moskal 2015b). In the realm of number, suppletion of pronouns behaves as expected, but a handful of examples for suppletion in nouns show a pattern that is initially unexpected, but which is, however, consistent with the overall view if the Number head is also internally structurally complex. Moreover, variation in suppletive patterns for number converges with independent evidence for variation in the internal complexity and markedness of number across languages."
 2024,9,17,"George Moroz (HSE), Olga Gich (FEFU), Anna Grishanova (HSE), Natalia Koshelyuk (HSE), Chiara Naccarato (HSE), Anna Panova (HSE), Anastasia Yakovleva (HSE), Svetlana Zemicheva (HSE)","The DiaL2 project: pipeline, results, news and future work","There are 24 dialectal and 8 bilingual corpora of Russian at the Linguistic Convergence Laboratory (see the [resources page](https://lingconlab.ru/)), and more are coming. The DiaL2 project was launched two years ago with an aim to study the linguistic variation found in these corpora. We applied a UDpipe morphological and syntactic parser, manually annotated a set of linguistic features (sometimes relistening the recordings in order to check the transcriptions), and implemented statistical models for each feature that predict the probability of divergence from Standard Russian. During the talk we will discuss our results based on several features:

result_en.html

@@ -61,7 +61,7 @@ <h3 class="anchored" data-anchor-id="seminar-schedule-2024">Seminar schedule 202
 <summary>
 Abstract
 </summary>
-In this talk, we will provide an overview of the key functions of the Database of the Dialectological Atlas of the Russian Language (https://da.ruslang.ru/). Additionally, we will present two case studies that utilize this resource. The first case study assesses the stability of dialects using the database alongside dialect corpora, focusing on the dialect vocabulary spoken in a set of villages in the Zapadnodvinsky district of the Tver region. The second is devoted to the classification of Russian dialects using dialectometric methods, specifically multidimensional scaling (MDS). This study draws on data from the Dialectological Atlas of the Russian Language in its entirety, offering four classifications based on individual linguistic levels—morphology, phonetics, syntax, and lexis—as well as a comprehensive classification that accounts for all linguistic features reflected in the atlas. The primary focus of the study will be on distinguishing the differences between eastern and western Russian dialects based on the database materials, as well as offering a historical interpretation of this dialect division.
+In this talk, we will provide an overview of the key functions of the Database of the <a href="https://da.ruslang.ru/">Dialectological Atlas of the Russian Language</a>. Additionally, we will present two case studies that utilize this resource. The first case study assesses the stability of dialects using the database alongside dialect corpora, focusing on the dialect vocabulary spoken in a set of villages in the Zapadnodvinsky district of the Tver region. The second is devoted to the classification of Russian dialects using dialectometric methods, specifically multidimensional scaling (MDS). This study draws on data from the Dialectological Atlas of the Russian Language in its entirety, offering four classifications based on individual linguistic levels—morphology, phonetics, syntax, and lexis—as well as a comprehensive classification that accounts for all linguistic features reflected in the atlas. The primary focus of the study will be on distinguishing the differences between eastern and western Russian dialects based on the database materials, as well as offering a historical interpretation of this dialect division.
 </details>
 </div><div class="column" style="width:15%;">
 <p><strong>1 October</strong></p>

result_ru.html

@@ -61,7 +61,7 @@ <h3 class="anchored" data-anchor-id="расписание-семинаров-в-
 <summary>
 Аннотация
 </summary>
-In this talk, we will provide an overview of the key functions of the Database of the Dialectological Atlas of the Russian Language (https://da.ruslang.ru/). Additionally, we will present two case studies that utilize this resource. The first case study assesses the stability of dialects using the database alongside dialect corpora, focusing on the dialect vocabulary spoken in a set of villages in the Zapadnodvinsky district of the Tver region. The second is devoted to the classification of Russian dialects using dialectometric methods, specifically multidimensional scaling (MDS). This study draws on data from the Dialectological Atlas of the Russian Language in its entirety, offering four classifications based on individual linguistic levels—morphology, phonetics, syntax, and lexis—as well as a comprehensive classification that accounts for all linguistic features reflected in the atlas. The primary focus of the study will be on distinguishing the differences between eastern and western Russian dialects based on the database materials, as well as offering a historical interpretation of this dialect division.
+In this talk, we will provide an overview of the key functions of the Database of the <a href="https://da.ruslang.ru/">Dialectological Atlas of the Russian Language</a>. Additionally, we will present two case studies that utilize this resource. The first case study assesses the stability of dialects using the database alongside dialect corpora, focusing on the dialect vocabulary spoken in a set of villages in the Zapadnodvinsky district of the Tver region. The second is devoted to the classification of Russian dialects using dialectometric methods, specifically multidimensional scaling (MDS). This study draws on data from the Dialectological Atlas of the Russian Language in its entirety, offering four classifications based on individual linguistic levels—morphology, phonetics, syntax, and lexis—as well as a comprehensive classification that accounts for all linguistic features reflected in the atlas. The primary focus of the study will be on distinguishing the differences between eastern and western Russian dialects based on the database materials, as well as offering a historical interpretation of this dialect division.
 </details>
 </div><div class="column" style="width:15%;">
 <p><strong>1 октября</strong></p>