Danielle Mcnamara
Biographic Data
| ID | 3843656 |
|---|---|
| NAME | Danielle Mcnamara |
| GIVEN NAMES | Danielle |
| FAMILY NAME | Mcnamara |
| SIGNATURE | MCNAMARA D |
| AFFILIATIONS | Arizona State University |
| VERIFIED | No |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 14 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2009 |
| LATEST PUBLICATION YEAR | 2021 |
| H-INDEX | 2 |
Developing and Testing Automatic Models of Patient Communicative Health Literacy Using Linguistic Features
Patients with diabetes and limited health literacy (HL) may have suboptimal communication exchange with their health care providers and be at elevated risk of adverse health outcomes. These difficulties are generally attributed to patients' reduced ability to both communicate and understand health-related ideas as well as physicians' lack of skill in identifying those with limited HL. Understanding and identifying patients with barriers posed by …
Frequency effects and second language lexical acquisition
Frequency effects in an L1 and L2 longitudinal corpus were investigated using Zipfian distribution analyses and linear curve estimations. The results demonstrated that the NS lexical input exhibited Zipfian distributions, but that the L2 lexical output did not match the NS Zipfian patterns. Word frequency analyses indicated that NS interlocutors modify their lexicon such that frequency scores decrease as a function of time that L2 learners have s…
Measuring L2 Lexical Growth Using Hypernymic Relationships
This study investigated second language (L2) lexical development in the spontaneous speech of six adult, L2 English learners in a 1-year longitudinal study. One important aspect of lexical development is lexical organization and depth of knowledge. Hypernymic relations, the hierarchical relationships among related words that vary in relation to their semantic specificity (e.g., Golden Retriever vs. dog vs. animal), are an important indicator of b…
Measuring L2 Lexical Growth Using Hypernymic Relationships
This study investigated second language (L2) lexical development in the spontaneous speech of six adult, L2 English learners in a 1-year longitudinal study. One important aspect of lexical development is lexical organization and depth of knowledge. Hypernymic relations, the hierarchical relationships among related words that vary in relation to their semantic specificity (e.g., Golden Retriever vs. dog vs. animal), are an important indicator of b…
Frequency effects and second language lexical acquisition
Frequency effects in an L1 and L2 longitudinal corpus were investigated using Zipfian distribution analyses and linear curve estimations. The results demonstrated that the NS lexical input exhibited Zipfian distributions, but that the L2 lexical output did not match the NS Zipfian patterns. Word frequency analyses indicated that NS interlocutors modify their lexicon such that frequency scores decrease as a function of time that L2 learners have s…
Measuring L2 Lexical Growth Using Hypernymic Relationships
This study investigated second language (L2) lexical development in the spontaneous speech of six adult, L2 English learners in a 1-year longitudinal study. One important aspect of lexical development is lexical organization and depth of knowledge. Hypernymic relations, the hierarchical relationships among related words that vary in relation to their semantic specificity (e.g., Golden Retriever vs. dog vs. animal), are an important indicator of b…
Frequency effects and second language lexical acquisition
Frequency effects in an L1 and L2 longitudinal corpus were investigated using Zipfian distribution analyses and linear curve estimations. The results demonstrated that the NS lexical input exhibited Zipfian distributions, but that the L2 lexical output did not match the NS Zipfian patterns. Word frequency analyses indicated that NS interlocutors modify their lexicon such that frequency scores decrease as a function of time that L2 learners have s…
Developing and Testing Automatic Models of Patient Communicative Health Literacy Using Linguistic Features
Patients with diabetes and limited health literacy (HL) may have suboptimal communication exchange with their health care providers and be at elevated risk of adverse health outcomes. These difficulties are generally attributed to patients' reduced ability to both communicate and understand health-related ideas as well as physicians' lack of skill in identifying those with limited HL. Understanding and identifying patients with barriers posed by …
Computer Science (3 works) · Psychology (3 works) · Artificial Intelligence (2 works) · Linguistics (2 works) · Natural language processing (2 works) · Natural Language Processing Techniques (2 works) · Second Language Acquisition and Learning (2 works) · Text Readability and Simplification (2 works) · Age of Acquisition (1 work) · Biology (1 work)