Update data.csv

chnaccarato · web-flow · commit 8d8aa324d334 · 2025-02-12T22:24:56.000+03:00
diff --git a/data.csv b/data.csv
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 year,month,day,author,title,abstract
+2025,2,18,Maksim Stepanyants (HSE University),"An attempt at a comprehensive description of Modern Eastern Armenian additive marker ēl","Modern Eastern Armenian (MEA) discourse markers have been generally neglected in the typological literature. However, there is one that has been included in the sample of Forker's (2016) influential paper on additives' polysemy, namely, ēl (էլ). A closer look at the semantics and morphosyntactic properties of this exponent reveals its broad polysemy, which can contribute to the theory of additive markers, cf. also (Gast & van der Auwera 2013. Its diachronic development also needs to be addressed: it presents a case of divergent development of multiple specialized markers (with different morphosyntactic properties) from a conceivable common source, possibly affected by areal influence. The marker ēl is special among other MEA focus markers (cf. Giorgi & Haroutyunian 2016) due to its almost unique enclitic status. In this talk an attempt will be made to address all these issues in a wholistic typologically-anchored approach."
 2025,2,11,"Masha Krivolap, Maksim Melenchenko (HSE University)","Predicting Shughni gender with machine learning","Our study aims to investigate the influence of various factors of gender assignment in the Shughni language (Eastern Iranian) using machine learning. We have trained several models to predict grammatical gender (feminine or masculine) on a dataset of 2,390 nouns from the Shughni-Russian dictionary. For training, we used both semantic features (semantic classes and vectorized Russian definitions) and formal features (word endings and the last vowel of the stem). Our results show that semantics plays a primary role in gender assignment in Shughni, as the proposed semantic features can correctly predict the gender for ≈80% of nouns in our sample. Formal features seem less significant and can correctly predict the gender for only ≈70% of nouns in the dataset. The correlation between these two types of gender predictors is high (especially for feminine gender), so combining them does not yield significantly better results."
 2025,2,4,Ivan Olkhov (HSE University),"Gender agreement slots in East Caucasian verbs: An areal-typological study and a case study of Andic","In this talk I will discuss the findings of two studies of gender agreement on verbs in East Caucasian languages. In most languages within this language family, gender agreement on verbs is sporadic, meaning that some verb lexemes have an agreement slot in the root while others do not. The first part of my talk will focus on a typological investigation of sporadic agreement on verbs across the East Caucasian family, which was done for a chapter of the Typological Atlas of the Languages of Daghestan. I will provide information on the number of agreeing lexemes for those languages where such data are available. These numbers vary significantly, with some languages like Rutul and Tsakhur having agreement on all verbs, while others like Agul and Lezgian have none. Additionally, I will explore the possible positions of non-root agreement slots. The second part of my presentation will delve into a case study of the Andic branch. I will examine verbs with the same meanings in languages within the sample; for each meaning I check in how many languages it is expressed by agreeing verbs and in how many languages these verbs are cognate. By analyzing this data, we can draw conclusions about how the verb agreement slots in Andic are preserved."
 2025,1,28,Alexander Letuchiy (HSE University),"Abaza masdars: what regulates the choice of marking?","In this talk, I focus on the types and properties of masdars (nominalizations) in Abaza (a language of the West Caucasian family spoken in Russia). A special feature of Abaza is that it has one marker of masdar (the suffix -ra) – however, masdars themselves fall into several types, based on the person marking. Masdars can inherit the argument marking from the verb (the polypersonal agreement with A and DO of transitive verbs, as well as S and IO of intransitive verbs), show possessive agreement with the argument of the masdar, take a definiteness marker a- or remain unmarked in the prefixal part. In this case, the Abaza system of masdars is rich and poor at the same time.

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`@@ -1,4 +1,5 @@`
`1`	`1`	`year,month,day,author,title,abstract`
	`2`	+2025,2,18,Maksim Stepanyants (HSE University),"An attempt at a comprehensive description of Modern Eastern Armenian additive marker ēl","Modern Eastern Armenian (MEA) discourse markers have been generally neglected in the typological literature. However, there is one that has been included in the sample of Forker's (2016) influential paper on additives' polysemy, namely, ēl (էլ). A closer look at the semantics and morphosyntactic properties of this exponent reveals its broad polysemy, which can contribute to the theory of additive markers, cf. also (Gast & van der Auwera 2013. Its diachronic development also needs to be addressed: it presents a case of divergent development of multiple specialized markers (with different morphosyntactic properties) from a conceivable common source, possibly affected by areal influence. The marker ēl is special among other MEA focus markers (cf. Giorgi & Haroutyunian 2016) due to its almost unique enclitic status. In this talk an attempt will be made to address all these issues in a wholistic typologically-anchored approach."
`2`	`3`	2025,2,11,"Masha Krivolap, Maksim Melenchenko (HSE University)","Predicting Shughni gender with machine learning","Our study aims to investigate the influence of various factors of gender assignment in the Shughni language (Eastern Iranian) using machine learning. We have trained several models to predict grammatical gender (feminine or masculine) on a dataset of 2,390 nouns from the Shughni-Russian dictionary. For training, we used both semantic features (semantic classes and vectorized Russian definitions) and formal features (word endings and the last vowel of the stem). Our results show that semantics plays a primary role in gender assignment in Shughni, as the proposed semantic features can correctly predict the gender for ≈80% of nouns in our sample. Formal features seem less significant and can correctly predict the gender for only ≈70% of nouns in the dataset. The correlation between these two types of gender predictors is high (especially for feminine gender), so combining them does not yield significantly better results."
`3`	`4`	2025,2,4,Ivan Olkhov (HSE University),"Gender agreement slots in East Caucasian verbs: An areal-typological study and a case study of Andic","In this talk I will discuss the findings of two studies of gender agreement on verbs in East Caucasian languages. In most languages within this language family, gender agreement on verbs is sporadic, meaning that some verb lexemes have an agreement slot in the root while others do not. The first part of my talk will focus on a typological investigation of sporadic agreement on verbs across the East Caucasian family, which was done for a chapter of the Typological Atlas of the Languages of Daghestan. I will provide information on the number of agreeing lexemes for those languages where such data are available. These numbers vary significantly, with some languages like Rutul and Tsakhur having agreement on all verbs, while others like Agul and Lezgian have none. Additionally, I will explore the possible positions of non-root agreement slots. The second part of my presentation will delve into a case study of the Andic branch. I will examine verbs with the same meanings in languages within the sample; for each meaning I check in how many languages it is expressed by agreeing verbs and in how many languages these verbs are cognate. By analyzing this data, we can draw conclusions about how the verb agreement slots in Andic are preserved."
`4`	`5`	2025,1,28,Alexander Letuchiy (HSE University),"Abaza masdars: what regulates the choice of marking?","In this talk, I focus on the types and properties of masdars (nominalizations) in Abaza (a language of the West Caucasian family spoken in Russia). A special feature of Abaza is that it has one marker of masdar (the suffix -ra) – however, masdars themselves fall into several types, based on the person marking. Masdars can inherit the argument marking from the verb (the polypersonal agreement with A and DO of transitive verbs, as well as S and IO of intransitive verbs), show possessive agreement with the argument of the masdar, take a definiteness marker a- or remain unmarked in the prefixal part. In this case, the Abaza system of masdars is rich and poor at the same time.