Стилистические особенности

otherentity ID: stylisticfeatures

Related Papers

CodeX: Combining an SVM Classifier and Character N-gram Language Models for Sentiment Analysis on Twitter Text

Authors: nan

Publication: TIPSTER (2013)

DOI: nan

This paper briefly reports our system for the SemEval-2013 Task 2: sentiment analysis in Twitter. We first used an SVM classifier with a wide range of features, including bag of …...

22996

Patterns of Wisdom: Discourse-Level Style in Multi-Sentence Quotations

Authors: nan

Publication: TIPSTER (2016)

DOI: nan

Quotations are kernels not just of wisdom but also of beautiful and striking language. While recent studies have characterized the stylistic features of quotations, we characterize the or- der of …...

23125

The Effect of Different Writing Tasks on Linguistic Style: A Case Study of the ROC Story Cloze Task

Authors: nan

Publication: TIPSTER (2017)

DOI: nan

AbstractA writer’s style depends not just on personal traits but also on her intent and mental state. In this paper, we show how variants of the same writing task can …...

42073

Idiosyncratic but not Arbitrary: Learning Idiolects in Online Registers Reveals Distinctive yet Consistent Individual Styles

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractAn individual’s variation in writing style is often a function of both social and personal attributes. While structured social variation has been extensively studied, e.g., gender based variation, far less …...

32074

Demystifying Neural Fake News via Linguistic Feature-Based Interpretation

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractThe spread of fake news can have devastating ramifications, and recent advancements to neural fake news generators have made it challenging to understand how misinformation generated by these models may …...

4650

Dimensions of Quality: Contrasting Stylistic vs. Semantic Features for Modelling Literary Quality in 9,000 Novels

Authors: nan

Publication: TIPSTER (2023)

DOI: nan

AbstractIn computational literary studies, the challenging task of predicting quality or reader-appreciation of narrative texts is confounded by volatile definitions of quality and the vast feature space that may be …...

20041

Incorporating Human Translator Style into English-Turkish Literary Machine Translation

Authors: nan

Publication: TIPSTER (2023)

DOI: nan

AbstractAlthough machine translation systems are mostly designed to serve in the general domain, there is a growing tendency to adapt these systems to other domains like literary translation. In this …...

2966