The present study explores the role of the word position-in-text in sentence and paragraph reading. Three eye-movement data sets based on the reading of Dutch and German unrelated sentences reveal a sizeable, replicable increase in reading times over several words at the beginning and the end of sentences. The data from the paragraph-based English-language Dundee corpus replicate the pattern and also indicate that the increase in inspection times is driven by the visual boundaries of the text organized in lines, rather than by syntactic sentence boundaries. We argue that this effect is independent of several established lexical, contextual, and oculomotor predictors of eye-movement behaviour. We also provide evidence that the effect of word position-in-text has two independent components: a start-up effect, arguably caused by a strategic oculomotor programme of saccade planning over the line of text, and a wrap-up effect, originating in cognitive processes of comprehension and semantic integration.

Download full-text PDF

Source
http://dx.doi.org/10.1080/17470211003602412DOI Listing

Publication Analysis

Top Keywords

sentence paragraph
8
paragraph reading
8
word position-in-text
8
word position
4
position eye-movements
4
eye-movements sentence
4
reading
4
reading study
4
study explores
4
explores role
4

Similar Publications

Problem: Writing for publication can be a challenging experience. Whilst midwives develop writing skills through their university education, writing a journal article can be quite different.

Purpose: To explain some basic skills of scientific writing when preparing a paper for publication to support midwives in engaging in scientific writing.

View Article and Find Full Text PDF

BiomedRAG: A retrieval augmented large language model for biomedicine.

J Biomed Inform

January 2025

Division of Computational Health Sciences, Department of Surgery, University of Minnesota, Minneapolis, MN, USA. Electronic address:

Retrieval-augmented generation (RAG) involves a solution by retrieving knowledge from an established database to enhance the performance of large language models (LLM). , these models retrieve information at the sentence or paragraph level, potentially introducing noise and affecting the generation quality. To address these issues, we propose a novel BiomedRAG framework that directly feeds automatically retrieved chunk-based documents into the LLM.

View Article and Find Full Text PDF

Research in the last few decades has examined the intersection between phonetics and politeness in multiple languages. While most of the studies have analyzed the role of politeness on suprasegmental features (i.e.

View Article and Find Full Text PDF

VIIDA and InViDe: computational approaches for generating and evaluating inclusive image paragraphs for the visually impaired.

Disabil Rehabil Assist Technol

December 2024

Department of Informatics, Universidade Federal de Viçosa - UFV, Viçosa, Brazil.

Article Synopsis
  • Existing image description methods for blind or low vision individuals are often inadequate, either oversimplifying visuals into short captions or overwhelming users with lengthy descriptions.
  • VIIDA is introduced as a new procedure to enhance image description specifically for webinar scenes, along with InViDe, a metric for evaluating these descriptions based on accessibility for BLV people.
  • Utilizing advanced tech like a multimodal Visual Question Answering model and Natural Language Processing, VIIDA effectively creates descriptions closely matching image content, while InViDe provides insights into the effectiveness of various methods, fostering further development in Assistive Technologies.
View Article and Find Full Text PDF

In reference to our paper published in the August issue 2020 of Haematologica,1 the sentence "funded by the European Union Next Generation EU, funds that finance the actions of the Recovery and Resilience Mechanism (RRM)" in the Funding was missing. We need to add it to justify the project. So the Funding paragraph should read as follows: Funding: this work was supported by grants from the Instituto de Salud Carlos III (ISCIII) of the Spanish Ministry of Economy and Competence, co-funded by European Union (FEDER) (ERDF/ESF, "A way to make Europe"/"Investing in your future" (MINECO, ISCIII) funded by the European Union Next Generation EU, funds that finance the actions of the Recovery and Resilience Mechanism (RRM) (Plan Nacional I+D+I: PI17/02172, PI21/01724, 15826/004, 41163/005 and PMP21/00015), AECC, the Madrid Autonomous Community and STARTUP2020/L2566.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!