Mingjing Chen
Biographic Data
| ID | 8236754 |
|---|---|
| NAME | Mingjing Chen |
| GIVEN NAMES | Mingjing |
| FAMILY NAME | Chen |
| SIGNATURE | CHEN M |
| AFFILIATIONS | The Affiliated Yongchuan Hospital of Chongqing Medical University |
| ORCID | 0000-0003-3008-0745 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
The role of format familiarity and semantic transparency in Chinese reading
Unlike alphabetic language, Chinese is an ideographic language that does not contain spaces between words. Chinese readers must develop unique segmentation strategies for word recognition and reading comprehension. This study explored the role of format familiarity and semantic transparency in Chinese reading, reflecting the segmentation strategy and word processing characteristics in Chinese reading. Forty undergraduates read Chinese in familiar…
Circularly Projected Common Factors for Grouped Data
To extract the common factors from grouped data, multilevel factor models have been put forward in the literature, and methods based on iterative principal component analysis (PCA) and canonical correlation analysis (CCA) have been proposed for estimation purpose. While iterative PCA requires iteration and is hence time-consuming, CCA can only deal with two groups of data. Herein, we develop two new methods to address these problems. We first ext…
Epidemiology and prediction model of patients with carcinosarcoma in the United States
Background Carcinosarcoma is a rare biphasic tumor composed of both carcinoma and sarcoma elements, which occurs at various sites. Most studies are case reports or small population-based studies for a single disease site, so comprehensive evaluations of epidemiology and prognostic factors for carcinosarcoma are needed. Methods Surveillance, Epidemiology, and End Results (SEER)-8 (1975–2019) provided data for the epidemiological analysis. SEER-17 …
The role of text familiarity in Chinese word segmentation and Chinese vocabulary recognition
摘要
No prominent works on this page.
Epidemiology and prediction model of patients with carcinosarcoma in the United States
Background Carcinosarcoma is a rare biphasic tumor composed of both carcinoma and sarcoma elements, which occurs at various sites. Most studies are case reports or small population-based studies for a single disease site, so comprehensive evaluations of epidemiology and prognostic factors for carcinosarcoma are needed. Methods Surveillance, Epidemiology, and End Results (SEER)-8 (1975–2019) provided data for the epidemiological analysis. SEER-17 …
The role of text familiarity in Chinese word segmentation and Chinese vocabulary recognition
摘要
Circularly Projected Common Factors for Grouped Data
To extract the common factors from grouped data, multilevel factor models have been put forward in the literature, and methods based on iterative principal component analysis (PCA) and canonical correlation analysis (CCA) have been proposed for estimation purpose. While iterative PCA requires iteration and is hence time-consuming, CCA can only deal with two groups of data. Herein, we develop two new methods to address these problems. We first ext…
The role of format familiarity and semantic transparency in Chinese reading
Unlike alphabetic language, Chinese is an ideographic language that does not contain spaces between words. Chinese readers must develop unique segmentation strategies for word recognition and reading comprehension. This study explored the role of format familiarity and semantic transparency in Chinese reading, reflecting the segmentation strategy and word processing characteristics in Chinese reading. Forty undergraduates read Chinese in familiar…
Computer Science (3 works) · Artificial Intelligence (2 works) · Cognitive psychology (2 works) · Language, Metaphor, and Cognition (2 works) · Linguistics (2 works) · Philosophy (2 works) · Psychology (2 works) · Second Language Acquisition and Learning (2 works) · Algorithm (1 work) · Biology (1 work)