Xinlei Jiang
Biographic Data
| ID | 3850417 |
|---|---|
| NAME | Xinlei Jiang |
| GIVEN NAMES | Xinlei |
| FAMILY NAME | Jiang |
| SIGNATURE | JIANG X |
| AFFILIATIONS | Xi'an Jiaotong University |
| ORCID | 0000-0001-9275-830X |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 11 |
| AUTHOR COUNT | 5 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Hybrid Modeling of Physics and Machine Learning for Soil Moisture Inversion in Arid Regions on Google Earth Engine
Soil moisture content (SMC) is vital for agriculture and water management, but accurate monitoring remains challenging. Current methods rely on standalone physical models (e.g., Water Cloud Model) or machine learning (ML), but physical models lack accuracy in complex environments, while ML lacks physical constraints. We hypothesize that hybrid models can improve SMC estimation. Using 90 soil samples from arid oasis ecosystems, we compared four ap…
Dependency distance as indicator for cognitive load in into-B interpreting
Dependency distance, the linear distance between two syntactically related words, has shown promise in measuring syntactic complexity and processing load in interlanguage research, psycholinguistics, translation studies, and into-A interpreting. Drawing on a large-scale learner corpus of Chinese – English consecutive interpreting, the present study explored the potential of dependency distance as an indicator for cognitive load in learners’ into-…
Source language interference or cognitive load minimization? Evidence from a syntactic dependency-annotated corpus of bidirectional interpreting
Assessing effects of source text complexity on L2 learners’ interpreting performance
Based on data from the English-Chinese interpretation corpus, we examined the relationship of source text complexity, captured using newly-developed dependency-based and traditional indices, to L2 learners’ interpreting performance captured using complexity, accuracy, and fluency. Best subsets regression and Poisson regression models yielded that the effectiveness of dependency-based indices including mean dependency distance, maximum dependency …
Effect of dependency distance of source text on disfluencies in interpreting
Effect of dependency distance of source text on disfluencies in interpreting
Assessing effects of source text complexity on L2 learners’ interpreting performance
Based on data from the English-Chinese interpretation corpus, we examined the relationship of source text complexity, captured using newly-developed dependency-based and traditional indices, to L2 learners’ interpreting performance captured using complexity, accuracy, and fluency. Best subsets regression and Poisson regression models yielded that the effectiveness of dependency-based indices including mean dependency distance, maximum dependency …
Hybrid Modeling of Physics and Machine Learning for Soil Moisture Inversion in Arid Regions on Google Earth Engine
Soil moisture content (SMC) is vital for agriculture and water management, but accurate monitoring remains challenging. Current methods rely on standalone physical models (e.g., Water Cloud Model) or machine learning (ML), but physical models lack accuracy in complex environments, while ML lacks physical constraints. We hypothesize that hybrid models can improve SMC estimation. Using 90 soil samples from arid oasis ecosystems, we compared four ap…
Dependency distance as indicator for cognitive load in into-B interpreting
Dependency distance, the linear distance between two syntactically related words, has shown promise in measuring syntactic complexity and processing load in interlanguage research, psycholinguistics, translation studies, and into-A interpreting. Drawing on a large-scale learner corpus of Chinese – English consecutive interpreting, the present study explored the potential of dependency distance as an indicator for cognitive load in learners’ into-…
Source language interference or cognitive load minimization? Evidence from a syntactic dependency-annotated corpus of bidirectional interpreting
Interpreting and Communication in Healthcare (4 works) · Artificial Intelligence (2 works) · Cognition (2 works) · Cognitive Load (2 works) · Computer Science (2 works) · Dependency (UML) (2 works) · Natural language processing (2 works) · Natural Language Processing Techniques (2 works) · Neurobiology of Language and Bilingualism (2 works) · Second Language Acquisition and Learning (2 works)