Insufficient vocabulary has become a barrier to reading comprehension and translation in the process of ME (medical English) study to the third-year students at medical universities or colleges. The current study was ...Insufficient vocabulary has become a barrier to reading comprehension and translation in the process of ME (medical English) study to the third-year students at medical universities or colleges. The current study was designed to investigate corpus-based teaching ap-proach to enlarging students'vocabulary in the course of higher learning of ML (medical literature). The study was carried out from 2006.9 to 2008.9 among third-year medical students in our college. Students were encouraged to augment their vocabulary by active practice,intensive learning,and comprehensive learning respectively through discovering study by using self-made ME corpuses (90,000 words). In doing so,their vocabulary was enlarged by actively using the essential vocabulary,attaching more attention to the difficult technical vocabulary,and getting familiar with medical terms,which eliminated their language barrier,improved their integrated language proficiency,and developed their sense of achievement.展开更多
The medical science vocabulary can generally is divided into 3 types: ①Common English vocabulary particular medical science phrase righteousness; ②The medical science phrase vegetable synthesizes of technical term. ...The medical science vocabulary can generally is divided into 3 types: ①Common English vocabulary particular medical science phrase righteousness; ②The medical science phrase vegetable synthesizes of technical term. This vocabulary number is very big, and generally the list phrase be partial to long;③Independent medical science technical term, namely the medical science of the non-medical science phrase vegetable composing professional appropriation technical term.展开更多
Purpose: Given the ubiquitous presence of the internet in our lives, many individuals turn to the web for medical information. A challenge here is that many laypersons(as "consumers") do not use professional...Purpose: Given the ubiquitous presence of the internet in our lives, many individuals turn to the web for medical information. A challenge here is that many laypersons(as "consumers") do not use professional terms found in the medical nomenclature when describing their conditions and searching the internet. The Consumer Health Vocabulary(CHV) ontology, initially developed in 2007, aimed to bridge this gap, although updates have been limited over the last decade. The purpose of this research is to implement a means of automatically creating a hierarchical consumer health vocabulary. This overall purpose is improving consumers' ability to search for medical conditions and symptoms with an enhanced CHV and improving the search capabilities of our searching and indexing tool HIVE(Helping Interdisciplinary Vocabulary Engineering).Design/methodology/approach: The research design uses ontological fusion, an approach for automatically extracting and integrating the Medical Subject Headings(Me SH) ontology into CHV, and further convert CHV from a flat mapping to a hierarchical ontology. The additional relationships and parent terms from Me SH allow us to uncover relationships between existing terms in the CHV ontology as well. The research design also included improving the search capabilities of HIVE identifying alternate relationships and consolidating them to a single entry.Findings: The key findings are an improved CHV with a hierarchical structure that enables consumers to search through the ontology and uncover more relationships.Research limitations: There are some cases where the improved search results in HIVE return terms that are related but not completely synonymous. We present an example and discuss the implications of this result. Practical implications: This research makes available an updated and richer CHV ontology using the HIVE tool. Consumers may use this tool to search consumer terminology for medical conditions and symptoms. The HIVE tool will return results about the medical term linked with the consumer term as well as the hierarchy of other medical terms connected to the term.Originality/value: This is a first attempt in over a decade to improve and enhance the CHV ontology with current terminology and the first research effort to convert CHV's original flat ontology structure to a hierarchical structure. This research also enhances the HIVE infrastructure and provides consumers with a simple, efficient mechanism for searching the CHV ontology and providing meaningful data to consumers.展开更多
文摘Insufficient vocabulary has become a barrier to reading comprehension and translation in the process of ME (medical English) study to the third-year students at medical universities or colleges. The current study was designed to investigate corpus-based teaching ap-proach to enlarging students'vocabulary in the course of higher learning of ML (medical literature). The study was carried out from 2006.9 to 2008.9 among third-year medical students in our college. Students were encouraged to augment their vocabulary by active practice,intensive learning,and comprehensive learning respectively through discovering study by using self-made ME corpuses (90,000 words). In doing so,their vocabulary was enlarged by actively using the essential vocabulary,attaching more attention to the difficult technical vocabulary,and getting familiar with medical terms,which eliminated their language barrier,improved their integrated language proficiency,and developed their sense of achievement.
文摘The medical science vocabulary can generally is divided into 3 types: ①Common English vocabulary particular medical science phrase righteousness; ②The medical science phrase vegetable synthesizes of technical term. This vocabulary number is very big, and generally the list phrase be partial to long;③Independent medical science technical term, namely the medical science of the non-medical science phrase vegetable composing professional appropriation technical term.
文摘Purpose: Given the ubiquitous presence of the internet in our lives, many individuals turn to the web for medical information. A challenge here is that many laypersons(as "consumers") do not use professional terms found in the medical nomenclature when describing their conditions and searching the internet. The Consumer Health Vocabulary(CHV) ontology, initially developed in 2007, aimed to bridge this gap, although updates have been limited over the last decade. The purpose of this research is to implement a means of automatically creating a hierarchical consumer health vocabulary. This overall purpose is improving consumers' ability to search for medical conditions and symptoms with an enhanced CHV and improving the search capabilities of our searching and indexing tool HIVE(Helping Interdisciplinary Vocabulary Engineering).Design/methodology/approach: The research design uses ontological fusion, an approach for automatically extracting and integrating the Medical Subject Headings(Me SH) ontology into CHV, and further convert CHV from a flat mapping to a hierarchical ontology. The additional relationships and parent terms from Me SH allow us to uncover relationships between existing terms in the CHV ontology as well. The research design also included improving the search capabilities of HIVE identifying alternate relationships and consolidating them to a single entry.Findings: The key findings are an improved CHV with a hierarchical structure that enables consumers to search through the ontology and uncover more relationships.Research limitations: There are some cases where the improved search results in HIVE return terms that are related but not completely synonymous. We present an example and discuss the implications of this result. Practical implications: This research makes available an updated and richer CHV ontology using the HIVE tool. Consumers may use this tool to search consumer terminology for medical conditions and symptoms. The HIVE tool will return results about the medical term linked with the consumer term as well as the hierarchy of other medical terms connected to the term.Originality/value: This is a first attempt in over a decade to improve and enhance the CHV ontology with current terminology and the first research effort to convert CHV's original flat ontology structure to a hierarchical structure. This research also enhances the HIVE infrastructure and provides consumers with a simple, efficient mechanism for searching the CHV ontology and providing meaningful data to consumers.
