What is med-ELIZA?

The med-ELIZA is a medical English LInking keywords finder for PubMed Zipped Archive, which searches keywords linking to each other in PubMed-medical-paper-abstracts in four phases. med-ELIZA analyzes the links between keywords occurring in the entire PubMed, in the same abstract, in the same sentence, and in the keyword in context (kwic).

What med-ELIZA does

• ELIZA finds four types of linking keywords, neighboring (keyword in context, kwic), closely linking (in a sentence), loosely linking (in an abstract) keywords, and medical keywords (in the PubMed).
• Thus, ELIZA assists you in writing medical English, and in researching a specific medical subject linking to the keyword.
• ELIZA uses the PubMed database updated daily.

Tutorials

• Finding prepositions following a keyword
• Finding linking words to a keyword
• Multi-mode: What are the keywords in the research field?
• InLine mode: Is there any relationship between A and B?
• Restore history

What med-ELIZA is based on

• PubMed: med-ELIZA uses the PubMed data freely provided by the US National Library of Medicine (NLM).
• WordNet: WordNet is “A Lexical Database for English” developed by Princeton University.
• TreeTagger: “med-ELIZA” uses TreeTagger, which is a tool for annotating text with part-of-speech and lemma information developed by Helmut Schmid in the TC project at the Institute of Computational Linguistics of the University of Stuttgart when making the internal dictionary.
• GENE95: “med-ELIZA” may show Japanese translation using an English-Japanese dictionary compiled by Kurumi.

 Disclaimer

“med-ELIZA” does not warrant the accuracy of information as displayed through the applications or Website. You acknowledge that any reliance on any statement or data posted through “med-ELIZA” shall be at your own/sole risk and consequences attached to that.
(c) sirasawa, 2019