Textual Stylistic Variation: Choices, Genres and Individuals
- URL: http://arxiv.org/abs/2205.00510v1
- Date: Sun, 1 May 2022 16:39:49 GMT
- Title: Textual Stylistic Variation: Choices, Genres and Individuals
- Authors: Jussi Karlgren
- Abstract summary: This chapter argues for more informed target metrics for the statistical processing of stylistic variation in text collections.
This chapter discusses variation given by genre, and contrasts it to variation occasioned by individual choice.
- Score: 0.8057441774248633
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: This chapter argues for more informed target metrics for the statistical
processing of stylistic variation in text collections. Much as operationalised
relevance proved a useful goal to strive for in information retrieval, research
in textual stylistics, whether application oriented or philologically inclined,
needs goals formulated in terms of pertinence, relevance, and utility - notions
that agree with reader experience of text. Differences readers are aware of are
mostly based on utility - not on textual characteristics per se. Mostly,
readers report stylistic differences in terms of genres. Genres, while vague
and undefined, are well-established and talked about: very early on, readers
learn to distinguish genres. This chapter discusses variation given by genre,
and contrasts it to variation occasioned by individual choice.
Related papers
- Scene Graph Generation with Role-Playing Large Language Models [50.252588437973245]
Current approaches for open-vocabulary scene graph generation (OVSGG) use vision-language models such as CLIP.
We propose SDSGG, a scene-specific description based OVSGG framework.
To capture the complicated interplay between subjects and objects, we propose a new lightweight module called mutual visual adapter.
arXiv Detail & Related papers (2024-10-20T11:40:31Z) - BookWorm: A Dataset for Character Description and Analysis [59.186325346763184]
We define two tasks: character description, which generates a brief factual profile, and character analysis, which offers an in-depth interpretation.
We introduce the BookWorm dataset, pairing books from the Gutenberg Project with human-written descriptions and analyses.
Our findings show that retrieval-based approaches outperform hierarchical ones in both tasks.
arXiv Detail & Related papers (2024-10-14T10:55:58Z) - How-to Guides for Specific Audiences: A Corpus and Initial Findings [5.017340878617933]
We investigate the extent to which how-to guides from one particular platform, wikiHow, differ in practice depending on the intended audience.
The results of our studies show that guides from wikiHow, like other text genres, are subject to subtle biases.
arXiv Detail & Related papers (2023-09-21T14:35:42Z) - Don't lose the message while paraphrasing: A study on content preserving
style transfer [61.38460184163704]
Content preservation is critical for real-world applications of style transfer studies.
We compare various style transfer models on the example of the formality transfer domain.
We conduct a precise comparative study of several state-of-the-art techniques for style transfer.
arXiv Detail & Related papers (2023-08-17T15:41:08Z) - An Inclusive Notion of Text [69.36678873492373]
We argue that clarity on the notion of text is crucial for reproducible and generalizable NLP.
We introduce a two-tier taxonomy of linguistic and non-linguistic elements that are available in textual sources and can be used in NLP modeling.
arXiv Detail & Related papers (2022-11-10T14:26:43Z) - Textual Entailment Recognition with Semantic Features from Empirical
Text Representation [60.31047947815282]
A text entails a hypothesis if and only if the true value of the hypothesis follows the text.
In this paper, we propose a novel approach to identifying the textual entailment relationship between text and hypothesis.
We employ an element-wise Manhattan distance vector-based feature that can identify the semantic entailment relationship between the text-hypothesis pair.
arXiv Detail & Related papers (2022-10-18T10:03:51Z) - Conventions and Mutual Expectations -- understanding sources for web
genres [0.8057441774248633]
Genres can be understood in many different ways.
They are often perceived as a primarily sociological construction, or, alternatively, as a stylostatistically observable objective characteristic of texts.
This investigation discusses knowledge sources for studying genre variation and change by observing reader and author behaviour rather than performing analyses on the information objects themselves.
arXiv Detail & Related papers (2022-05-01T16:44:55Z) - From Theories on Styles to their Transfer in Text: Bridging the Gap with
a Hierarchical Survey [10.822011920177408]
Style transfer aims at re-writing existing texts and creating paraphrases that exhibit desired stylistic attributes.
A handful of surveys give a methodological overview of the field, but they do not support researchers to focus on specific styles.
We organize them into a hierarchy, highlighting the challenges for the definition of each of them, and pointing out gaps in the current research landscape.
arXiv Detail & Related papers (2021-10-29T15:53:06Z) - Readability Research: An Interdisciplinary Approach [62.03595526230364]
We aim to provide a firm foundation for readability research, a comprehensive framework for readability research.
Readability refers to aspects of visual information design which impact information flow from the page to the reader.
These aspects can be modified on-demand, instantly improving the ease with which a reader can process and derive meaning from text.
arXiv Detail & Related papers (2021-07-20T16:52:17Z) - Changing the Narrative Perspective: From Deictic to Anaphoric Point of
View [0.0]
We introduce the task of changing the narrative point of view, where characters are assigned a narrative perspective that is different from the one originally used by the writer.
The resulting shift in the narrative point of view alters the reading experience and can be used as a tool in fiction writing.
We describe a pipeline for processing raw text that relies on a neural architecture for mention selection.
arXiv Detail & Related papers (2021-03-06T19:03:42Z) - Analyzing Stylistic Variation across Different Political Regimes [2.233624388203002]
We analyze the stylistic variation between texts written during communism and democracy periods in Romania.
To confirm the stylistic variation is indeed an effect of the change in political and cultural environment, we look at various stylistic metrics over time.
We also perform an analysis of the variation in topic between the two epochs, to compare with the variation at the style level.
arXiv Detail & Related papers (2020-12-02T16:16:46Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.