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Does splitting make sentence easier?

Tadashi Nomoto¹

¹National Institute of Japanese Literature, Tokyo, Japan.

Frontiers in Artificial Intelligence

|October 4, 2023

Summary

Sentence splitting, a text simplification technique, was studied to determine its effect on readability. Research found that dividing sentences into two parts significantly improves understanding compared to more complex splits.

Keywords:

Bayesian analysis human evaluation natural language processing readability text simplification

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Area of Science:

Natural Language Processing
Computational Linguistics
Human-Computer Interaction

Background:

Sentence splitting is a text simplification technique.
The effectiveness of sentence splitting on readability is largely unproven.
Understanding how sentence complexity impacts comprehension is crucial for accessible communication.

Purpose of the Study:

To investigate the impact of sentence splitting on text readability.
To determine if the number of splits affects comprehension.
To evaluate the efficacy of sentence splitting as a text simplification method.

Main Methods:

Utilized Amazon Mechanical Turk for data collection.
Developed a Bayesian modeling framework to analyze readability.
Incorporated parameters from clinical and cognitive linguistics.

Main Results:

Bisecting sentences (splitting into two) enhances readability.
Readability improvements from bisecting are greater than with multiple splits.
The degree of sentence splitting significantly affects text comprehension.

Conclusions:

Splitting complex sentences into two parts is an effective text simplification strategy.
Sentence bisection demonstrably improves readability more than extensive splitting.
Findings support the hypothesis that simpler sentence structures enhance understanding.