Scientists are seeking to improve the capabilities of online translation programs by embedding new artificial intelligence methods that could help accurately build complete sentences.
University of Liverpool researchers have developed algorithms that translate words and languages while incorporating a human-like touch that could potentially boost accuracy. The algorithms will enable a computer to translate a word from an unknown language, and then infuse context within so it can build a proper sentence by adding words around it. The algorithms are designed to look up the meaning of words via services such as WordNet, and use a scoring mechanism to gauge the correlation of words when constructing a sentence.
Liverpool researcher Danushka Bollegala says the programs' ability to help computers understand words is similar to "teaching languages to computers." He says the technology is one step toward creating a precise universal translator.
It is currently possible to translate words with high rates of accuracy via Google Translate, but this technique can still yield poor sentence structures and frequently misconstrued meanings.
From IDG News Service
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