The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Translation of Biomedical Terms by Inferring Rewriting Rules
Abstract
This chapter presents a simple yet efficient approach to translate automatically unknown biomedical terms from one language into another. This approach relies on a machine learning process able to infer rewriting rules from examples, that is, from a list of paired terms in two studied languages. Any new term is then simply translated by applying the rewriting rules to it. When different translations are produced by conflicting rewriting rules, we use language modeling to single out the best candidate. The experiments reported here show that this technique yields very good results for different language pairs (including Czech, English, French, Italian, Portuguese, Spanish and even Russian). The author also shows how this translation technique could be used in a cross-language information retrieval task and thus complete the dictionary-based existing approaches.
Related Content
|
Rahul Kumar, Devvret Verma, Bahman Khoshru, Adeyemi Nurudeen Olatunbosun.
© 2026.
36 pages.
|
|
S. Ida Evangeline.
© 2026.
34 pages.
|
|
Rahul Kumar, Rachan Karmakar, Sanja Živković, Tanja Vasić.
© 2026.
42 pages.
|
|
Poonam K. Verma, Nisha Chandran.
© 2026.
20 pages.
|
|
Odangowei Inetiminebi Ogidi, Shoheb Shakil Shaikh, Mukul Machhindra Barwant.
© 2026.
42 pages.
|
|
Harsh Virendrabhai Purohit, Veda Pandya.
© 2026.
30 pages.
|
|
Rachan Karmakar, Divya Gunsola, Debasis Mitra, Viralkumar B. Mandaliya, Arti Thakur, Addisu Assefa, Sourav Chattaraj, Mukul Machhindra Barwant, Uma Eswaranpillai, Ponmurugan Karuppiah.
© 2026.
28 pages.
|
|
|