Add to ORKGThis paper reports on a corpus-based, contrastive study of the Swedish and English medical language in the cancer sub-domain. It is focused on the examination of a number of linguistic parameters differentiating two types of cancer-related textual material, one intended for medical experts and one for laymen. Language-dependent and language independent characteristics of the textual data between the two languages and the two registers are examined and compared. The aim of the work is to gain insights into the differences between lay and expert texts in order to support natural language generation (NLG) systems.
Background Free text is helpful for entering information into electronic health records, but reusing...
The use of pretrained language models, finetuned to perform a specific downstream task, has become w...
Information contained in the free text of health records is useful for the immediate care of patient...
Proceedings of the 16th Nordic Conference of Computational Linguistics NODALIDA-2007. Editors: Jo...
In health care, there is a need for patient adaption of clinical text, so that patients can understa...
AbstractNatural language processing (NLP) systems have been developed to provide access to the treme...
Medical language processing has focused until recently on a few types of textual documents. However,...
Electronical health records, also called clinical texts, have their own linguistic characteristics a...
Breast cancer is a disease that affects many women in the world. That’s why many European states and...
The present study is an explorative, corpus-based contrastive study of N-Rhemes in English and Swedi...
English as a lingua franca is a part of the more general phenomenon of “English as an international ...
Este estudio tiene como objetivo comparar textos redactados originalmente en español con textos trad...
In the English clinical and biomedical text domains, negation and certainty usage are two well-studi...
Background: Free text is helpful for entering information into electronic health records, but reusin...
This paper discusses the preliminary results of a corpus-based analysis of three basic health-relate...
Background Free text is helpful for entering information into electronic health records, but reusing...
The use of pretrained language models, finetuned to perform a specific downstream task, has become w...
Information contained in the free text of health records is useful for the immediate care of patient...
Proceedings of the 16th Nordic Conference of Computational Linguistics NODALIDA-2007. Editors: Jo...
In health care, there is a need for patient adaption of clinical text, so that patients can understa...
AbstractNatural language processing (NLP) systems have been developed to provide access to the treme...
Medical language processing has focused until recently on a few types of textual documents. However,...
Electronical health records, also called clinical texts, have their own linguistic characteristics a...
Breast cancer is a disease that affects many women in the world. That’s why many European states and...
The present study is an explorative, corpus-based contrastive study of N-Rhemes in English and Swedi...
English as a lingua franca is a part of the more general phenomenon of “English as an international ...
Este estudio tiene como objetivo comparar textos redactados originalmente en español con textos trad...
In the English clinical and biomedical text domains, negation and certainty usage are two well-studi...
Background: Free text is helpful for entering information into electronic health records, but reusin...
This paper discusses the preliminary results of a corpus-based analysis of three basic health-relate...
Background Free text is helpful for entering information into electronic health records, but reusing...
The use of pretrained language models, finetuned to perform a specific downstream task, has become w...
Information contained in the free text of health records is useful for the immediate care of patient...