Shingo Nahatame
Biographic Data
| ID | 1692849 |
|---|---|
| NAME | Shingo Nahatame |
| GIVEN NAMES | Shingo |
| FAMILY NAME | Nahatame |
| SIGNATURE | NAHATAME S |
| AFFILIATIONS | University of Tsukuba |
| ORCID | 0000-0002-8488-8603 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 3 |
| AUTHOR COUNT | 4 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
Relative importance of lexical features in word processing during L2 English reading
Word processing during reading is known to be influenced by lexical features, especially word length, frequency, and predictability. This study examined the relative importance of these features in word processing during second language (L2) English reading. We used data from an eye-tracking corpus and applied a machine-learning approach to model word-level eye-tracking measures and identify key predictors. Predictors comprised several lexical fe…
Revisiting Text Readability and Processing Effort in Second Language Reading: Bayesian Analysis of Eye-Tracking Data
Studies have explored the relationship between text readability and processing effort in second language (L2) reading-as evidenced by eye movements. However, these studies generally relied on short texts, raising concerns about the validity of the analyzed data. This study reexamined these relationships using open-source eye-tracking data from L2 English learners who read longer passages (those over 200 words). The passages were analyzed for diff…
Predicting processing effort during L1 and L2 reading: The relationship between text linguistic features and eye movements
Researchers have taken great interest in the assessment of text readability. This study expands on this research by developing readability models that predict the processing effort involved during first language (L1) and second language (L2) text reading. Employing natural language processing tools, the study focused on assessing complex linguistic features of texts, and these features were used to explain the variance in processing effort, as ev…
Text Readability and Processing Effort in Second Language Reading: A Computational and Eye-Tracking Investigation
Although text readability has traditionally been measured based on simple linguistic features, recent studies have employed natural language processing techniques to develop new readability formulas that better represent theoretical accounts of reading processes. This study evaluated the construct validity of different readability formulas, including both traditional and newer formulas, by examining their ability to predict the processing effort …
Text Readability and Processing Effort in Second Language Reading: A Computational and Eye-Tracking Investigation
Although text readability has traditionally been measured based on simple linguistic features, recent studies have employed natural language processing techniques to develop new readability formulas that better represent theoretical accounts of reading processes. This study evaluated the construct validity of different readability formulas, including both traditional and newer formulas, by examining their ability to predict the processing effort …
Text Readability and Processing Effort in Second Language Reading: A Computational and Eye-Tracking Investigation
Although text readability has traditionally been measured based on simple linguistic features, recent studies have employed natural language processing techniques to develop new readability formulas that better represent theoretical accounts of reading processes. This study evaluated the construct validity of different readability formulas, including both traditional and newer formulas, by examining their ability to predict the processing effort …
Predicting processing effort during L1 and L2 reading: The relationship between text linguistic features and eye movements
Researchers have taken great interest in the assessment of text readability. This study expands on this research by developing readability models that predict the processing effort involved during first language (L1) and second language (L2) text reading. Employing natural language processing tools, the study focused on assessing complex linguistic features of texts, and these features were used to explain the variance in processing effort, as ev…
Relative importance of lexical features in word processing during L2 English reading
Word processing during reading is known to be influenced by lexical features, especially word length, frequency, and predictability. This study examined the relative importance of these features in word processing during second language (L2) English reading. We used data from an eye-tracking corpus and applied a machine-learning approach to model word-level eye-tracking measures and identify key predictors. Predictors comprised several lexical fe…
Revisiting Text Readability and Processing Effort in Second Language Reading: Bayesian Analysis of Eye-Tracking Data
Studies have explored the relationship between text readability and processing effort in second language (L2) reading-as evidenced by eye movements. However, these studies generally relied on short texts, raising concerns about the validity of the analyzed data. This study reexamined these relationships using open-source eye-tracking data from L2 English learners who read longer passages (those over 200 words). The passages were analyzed for diff…
Second Language Acquisition and Learning (4 works) · Computer Science (3 works) · Linguistics (3 works) · Natural language processing (3 works) · Readability (3 works) · Sentence (3 works) · Text Readability and Simplification (3 works) · Artificial Intelligence (2 works) · Eye movement (2 works) · Eye tracking (2 works)