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Linking the Computational Historical Semantics corpus to the LiLa Knowledge Base of Interoperable Linguistic Resources for Latin.

2023
This paper describes the linking of a subset of five texts from the Latin Text Archive corpus of the Computational Historical Semantics project to the LiLa Knowledge Base of Interoperable Linguistic Resources for Latin for a total of about one million tokens, adding approximately 13 million and 750 thousand new triples to the Knowledge Base.
Pedonese Giulia   +2 more
openaire   +2 more sources

Computational historical linguistics

2021
Ortmann, Katrin   +2 more
openaire   +1 more source

Building Foundations for Natural Language Processing of Historical Turkish: Resources and Models

arXiv.org
This paper introduces foundational resources and models for natural language processing (NLP) of historical Turkish, a domain that has remained underexplored in computational linguistics. We present the first named entity recognition (NER) dataset, HisTR,
Şaziye Betül Özateş   +6 more
semanticscholar   +1 more source

Automated Detection of Allusions in Uzbek Language: A Computational Approach

2024 IEEE 3rd International Conference on Problems of Informatics, Electronics and Radio Engineering (PIERE)
Allusions play a significant role in literary and cultural works, serving as a tool for conveying deep meanings embedded by authors. In the Uzbek language, as in many other languages, allusions are commonly used to create more complex narratives, which ...
Davlatyor B. Mengliev   +5 more
semanticscholar   +1 more source

Digital Humanities Based Computational Analysis of Linguistic Evolution and Cultural Narratives in Historical Texts

International Academic Journal of Science and Engineering
The swift progress in computational techniques has provided ample possibilities for investigating the evolution of language and changing discourse patterns in large corpora of texts. The paper describes a computational framework or investigating longitudinal register shifts and formal discourse organization in American English using the Corpus of ...
null Huriyat Nuriddinova   +6 more
openaire   +1 more source

Computational Typology

arXiv.org
Typology is a subfield of linguistics that focuses on the study and classification of languages based on their structural features. Unlike genealogical classification, which examines the historical relationships between languages, typology seeks to ...
Gerhard Jäger
semanticscholar   +1 more source

Graph neural network modeling for language evolution data and tracing the historical language relationships

The International Conference on Wireless, Optical Communication and Information Engineering
Language evolution is an important topic in the cross-study of historical linguistics and computational linguistics. When traditional methods are used to model complex language relations, there are some problems, such as limited expressive ability and ...
Di-Fei Wang
semanticscholar   +1 more source

Computational linguistics approaches to historical emotion analysis

Die vorliegende Masterarbeit untersucht Erweiterungsmöglichkeiten des von Hellrich et al. (2019) vorgelegten Modells zur historischen Emotionsanalyse. Zu diesem Zweck wird das aus der Kombination von historischem Word Embedding, VAD Lexikon und Induktionsalgorithmus bestehende Modell um drei Word Embeddings (PPMI, CBOW, FastText), einen ...
openaire   +1 more source

Computational Analysis of Slovenian Historical Newspapers (1771–1914): Linguistic, Thematic, and Nation-Building Insights

Prispevki za novejšo zgodovino
This paper presents a computational linguistic analysis of sPeriodika, a historical corpus of Slovenian periodicals published between 1771 and 1914. Using keyword analysis and diachronic analysis, we explore the linguistic, thematic, and historical dimensions of ten prominent newspapers in the corpus.
Pretnar Žagar, Ajda   +1 more
openaire   +1 more source

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