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Found 11 papers, 2 papers with code
CLIMB grammars: three projects using metagrammar engineering
This paper introduces the CLIMB (Comparative Libraries of Implementations with Matrix Basis) methodology and grammars.
Orthographic and Morphological Correspondences between Related Slavic Languages as a Base for Modeling of Mutual Intelligibility
In an intercomprehension scenario, typically a native speaker of language L1 is confronted with output from an unknown, but related language L2.
Machine Translation from an Intercomprehension Perspective
Within the first shared task on machine translation between similar languages, we present our first attempts on Czech to Polish machine translation from an intercomprehension perspective.
incom.py - A Toolbox for Calculating Linguistic Distances and Asymmetries between Related Languages
Languages may be differently distant from each other and their mutual intelligibility may be asymmetric.
The INCOMSLAV Platform: Experimental Website with Integrated Methods for Measuring Linguistic Distances and Asymmetries in Receptive Multilingualism
We report on a web-based resource for conducting intercomprehension experiments with native speakers of Slavic languages and present our methods for measuring linguistic distances and asymmetries in receptive multilingualism.
Cross-Domain Adaptation of Spoken Language Identification for Related Languages: The Curious Case of Slavic Languages
State-of-the-art spoken language identification (LID) systems, which are based on end-to-end deep neural networks, have shown remarkable success not only in discriminating between distant languages but also between closely-related languages or even different spoken varieties of the same language.
Rediscovering the Slavic Continuum in Representations Emerging from Neural Models of Spoken Language Identification
In this paper, we present a neural model for Slavic language identification in speech signals and analyze its emergent representations to investigate whether they reflect objective measures of language relatedness and/or non-linguists' perception of language similarity.
How Familiar Does That Sound? Cross-Lingual Representational Similarity Analysis of Acoustic Word Embeddings
We further discuss the implications of our work on modeling speech processing and language similarity with neural networks.
Are Language-Agnostic Sentence Representations Actually Language-Agnostic?
With the emergence of pre-trained multilingual models, multilingual embeddings have been widely applied in various natural language processing tasks.
incom.py 2.0 - Calculating Linguistic Distances and Asymmetries in Auditory Perception of Closely Related Languages
We present an extended version of a tool developed for calculating linguistic distances and asymmetries in auditory perception of closely related languages.
Modeling the Impact of Syntactic Distance and Surprisal on Cross-Slavic Text Comprehension
We focus on the syntactic variation and measure syntactic distances between nine Slavic languages (Belarusian, Bulgarian, Croatian, Czech, Polish, Slovak, Slovene, Russian, and Ukrainian) using symmetric measures of insertion, deletion and movement of syntactic units in the parallel sentences of the fable “The North Wind and the Sun”.
