Results 61 to 70 of about 14,660 (202)
Dutch parallel corpus: a balanced parallel corpus for Dutch-English and Dutch-French [PDF]
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FJ Och +14 more
core +2 more sources
ABSTRACT Recent literature addressing ESG and risk has increased by 70% since mid‐2022, reflecting a growing interest in sustainable finance. Guided by the PRISMA flow diagram, this paper employs a hybrid systematic review methodology, combining bibliometric analysis with content analysis, to provide a comprehensive overview of the evolution of ESG and
Fahad Asmi, Alain Neher, Alfred Wong
wiley +1 more source
The challenge of POS tagging and lemmatization in morphologically rich languages is examined by comparing German and Latin. We start by defining an NLP evaluation roadmap to model the combination of tools and resources guiding our experiments.
Rüdiger Gleim +8 more
doaj +1 more source
Text preprocessing is often the first step in the pipeline of a Natural Language Processing (NLP) system, with potential impact in its final performance.
Camacho-Collados, Jose +1 more
core +1 more source
ABSTRACT Ecological models explain social phenomena by assuming specific properties of the world an individual lives in. The evaluative information ecology model (Unkelbach et al. 2019) assumes two such properties: Positive information is more frequent (i.e., positivity prevalence), but negative information is more diverse (i.e., negativity diversity).
Anne I. Weitzel, Christian Unkelbach
wiley +1 more source
An open issue in the sentiment classification of texts written in Serbian is the effect of different forms of morphological normalization and the usefulness of leveraging large amounts of unlabeled texts.
V. Batanović, B. Nikolić
doaj +1 more source
Researchers in linguistic and lexicographic fields such as Nkondo (1987: 70) and Kamwangamalu (1997: 89) assert that no language is lexically self-sufficient. According to Jafta (1987: 127), the reason for this is because no perfectly homogenous language
Sponono Mahlangu
doaj +1 more source
The Influence of Text Pre-processing on Plagiarism Detection [PDF]
This paper explores the influence of text preprocessing techniques on plagiarism detection. We examine stop-word removal, lemmatization,number replacement, synonymy recognition, and word generalization.
Ceska, Z, Fox, C
core
LLM‐based keyword augmentation for title‐driven evidence selection: A practical approach
Abstract Keyword‐based search is widely used in digital forensic investigations, yet its effectiveness depends strongly on investigator experience, leading to inconsistent results and missed evidence. While previous studies have explored machine learning and large language models (LLMs) to address this, practical deployment is often constrained by ...
Sanghyun Yoo, Doowon Jeong
wiley +1 more source
Web-Application for the Presentation of Bilingual Corpora (Focusing on Bulgarian as One of the Two Paired Languages) This paper briefly presents a web-application for the presentation of bilingual aligned corpora focusing on Bulgarian as one the two ...
Ludmila Dimitrova, Ralitsa Dutsova
doaj +1 more source

