Text Difficulty Study: Do machines behave the same as humans regarding text difficulty?
Given a task, human learns from easy to hard, whereas the model learns randomly. Undeniably, difficulty insensitive learning leads to great success in NLP, but little attention has been paid to the effect of text difficulty in NLP.
Chen, Bowen +4 more
core +2 more sources
The Effects of Text Type, Text Length and Text Difficulty on Vocabulary Retention through Glossing [PDF]
Vocabulary plays a pivotal role in the EFL classrooms, but the outcome for recalling the vocabulary items are not satisfactory. As a result, the current study aims at examining the effects of glossing on different types of texts with different difficulty
Mojtaba Tadayonifar (11150685)
core +3 more sources
On difficulty in handling text recycling [PDF]
Eun Seong Hwang
doaj +3 more sources
A user-study measuring the effects of lexical simplification and coherence enhancement on perceived and actual text difficulty. [PDF]
Purpose Low patient health literacy has been associated with cost increases in medicine because it contributes to inadequate care. Providing explanatory text is a convenient approach to distribute medical information and increase health literacy ...
Leroy G, Kauchak D, Mouradi O.
europepmc +2 more sources
Improving perceived and actual text difficulty for health information consumers using semi-automated methods. [PDF]
We are developing algorithms for semi-automated simplification of medical text. Based on lexical and grammatical corpus analysis, we identified a new metric, term familiarity, to help estimate text difficulty.
Leroy G +4 more
europepmc +1 more source
Difficulty Estimation and Simplification of French Text Using LLMs
We leverage generative large language models for language learning applications, focusing on estimating the difficulty of foreign language texts and simplifying them to lower difficulty levels.
Vlachos, Michalis +2 more
core +2 more sources
Measuring Malaysian lower secondary learners' reading ability on a CEFR-aligned text
To capture learners’ interest in reading and help them understand the content of their reading, it is important to write at a level that aligns with their reading abilities. This will motivate learners to read and comprehend the material.
Revathi Gopal +2 more
doaj +1 more source
Readability formulas: An analysis into reading index of prose forms
Text comprehension will suffer if the readability level is not accessible to the students. Readability formulas predict text complexity, assisting in appropriate text selection that complements students’ reading abilities to improve their language ...
Revathi Gopal +4 more
doaj +1 more source
This research was aimed to find out students’ difficulties of on understanding analytical exposition texts. This was descriptive quantitative research. The population of this research was the second-year students at SMA Negeri 9 Pekanbaru, and one class ...
Nurul Aini Ibni Kalzan +2 more
doaj +1 more source
Working Memory Capacity but Not Prior Knowledge Impact on Readers' Attention and Text Comprehension
Reading digital texts is a common practice in today's education. Prior studies showed that the coherence of a text can influence text comprehensibility with low degrees of coherence causing attention failures (mind wandering) and, consequently ...
Teresa Schurer +3 more
doaj +1 more source

