Computational Linguistics

insight - Computational Linguistics

A Quantitative and Typological Study of Early Slavic Participle Clauses and Their Competition with Finite Temporal Clauses

Early Slavic participle clauses (conjunct participles and dative absolutes) compete with finite temporal clauses (jegda-clauses) in the expression of temporal relations and discourse organization, with the choice between these constructions being motivated by factors such as information structure, discourse relations, and cross-linguistic typological patterns.

Maximizing Phylogenetic Signal in Cognate Data: Integrating Synonyms through Probabilistic Character Matrices

Cognate data with synonyms can be effectively represented using probabilistic character matrices to maximize the phylogenetic signal during maximum likelihood tree inference.

Modeling Orthographic and Lexical Variation Across Occitan Dialects

Large multilingual language models can effectively represent orthographic and lexical variation across Occitan dialects without the need for extensive data normalization.

Explainable Machine Learning Approaches for Geolinguistic Authorship Profiling in Forensic Linguistics: A Case Study

Explainable machine learning approaches can provide valuable insights for geolinguistic authorship profiling in forensic linguistics, complementing traditional qualitative methods.

Evaluating Large Language Model Performance on Part-of-Speech Tagging for Indigenous and Low-resource Brazilian Languages

Large Language Models perform poorly on part-of-speech tagging for indigenous and low-resource Brazilian languages compared to high-resource languages, but language adaptation can improve cross-lingual transfer performance.

Exploring Morphological Means of Expressing Temporal Subordination in Latin American and Caribbean Languages

Morphological means of expressing generic temporal subordination ('when'-clauses) are prevalent in many Latin American and Caribbean languages, posing challenges for token-based typological approaches. This study incorporates character n-gram analysis to capture such morphological markers alongside lexical subordinators, generating probabilistic semantic maps that reveal systematic cross-linguistic variation in the region.

Linguistic Differences Between Human and ChatGPT-Generated Dialogues: A Comparative Analysis

Human conversations exhibit greater variability and authenticity, while ChatGPT demonstrates superior proficiency in social processes, analytical style, cognition, attentional focus, and positive emotional tone.

Diachronic Analysis of Vocal Characteristics in French Audiovisual Media Across Gender and Age

Voices in French audiovisual media have shown a tendency to lower in pitch over time, independent of gender, while female voices exhibit a decrease in pitch with age that is not observed in male voices.

A Dataset of Proto-Italic and Latin Forms for Computational Historical Linguistics

This paper introduces the Proto-Italic to Latin (PILA) dataset, which contains approximately 3,000 pairs of forms from Proto-Italic and Latin, to assist historical linguists in the study of Italic sound change.

Neural Reconstruction of Proto-Languages: Improving Computational Methods for Historical Linguistics

Computational models can automate and improve the efficiency of proto-language reconstruction, a painstaking process for linguists. This work explores three approaches to enhance previous methods, including data augmentation, a VAE-based Transformer model, and a Variational Neural Machine Translation model.

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