Information on extracting terminology
Terminology is the sum of the terms which identify a specific topic. Extracting terminology is the process of extracting terminology from a text.
The idea is to compare the frequency of words in a given document with their frequency in the language. Words which appear very frequently in the document but rarely in the language are probably terms.
It uses Poisson statistics, the Maximum Likelihood Estimation and Inverse Document Frequency between the frequency of words in a given document and a generic corpus of 100 million words per language. It uses a probabilistic part of speech tagger to take into account the probability that a particular sequence could be a term. It creates n-grams of words by minimizing the relative entropy.
Why have we developed this?
Translated has developed this technology to help its translators to be aware of the difficulties in a document and to simplify the process of creating glossaries.
We also use it to improve search results in traditional search engines (es. Google) by giving a better estimation of how much a keyword is relevant to a document.
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If you are interested in this technology, please read more on Translated Labs and our services for natural language processing.
Explore our experiments
The Language Identifier automatically detects the language of a written text. It can also be used to identify the topic of a written text in a language you do not understand.Learn more
What do the words airplane, bird, and helicopter have in common? This application searches for semantic relationships in a text by analyzing the statistical properties of words.Learn more
What happens when you translate an English sentence into Japanese, and then again into English, as if it was an infinite loop? Well, give it a try! And don't forget to share the funniest results with your friends.Learn more