The method relies on a machine learning process that can predict rules from examples, which involves using paired terms in two languages. The rewriting of rules is used to translate a new word. When opposing rules are rewritten, language modeling is used to identify the most appropriate translation.
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.
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.
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.
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.
Translation of Biomedical Terms by Inferring Rewriting Rules
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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.
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.
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It mainly relies on a machine learning approach able to infer rewriting rules from pair of terms in two languages. Given a new term, these rules are then used ...
A method to automatically translate a large class of terms in the biomedical domain from one language to another using a machine-learning technique that ...
Thus, we adapted a simple machine learning technique first developed for translit- eration and translation of biomedical terms [1]. This technique allows us to ...