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2009
IEEE

An Intelligent Agent That Autonomously Learns How to Translate

12 years 6 months ago
An Intelligent Agent That Autonomously Learns How to Translate
—We describe the design of an autonomous agent that can teach itself how to translate from a foreign language, by first assembling its own training set, then using it to improve its vocabulary and language model. The key idea is that a Statistical Machine Translation package can be used for the Cross-Language Retrieval Task of assembling a training set from a vast amount of available text (e.g. a large multilingual corpus, or the Web) and then train on that data, repeating that process several times. The stability issues related to such a feedback loop are addressed by a mathematical model, connecting statistical and control-theoretic aspects of the system. We test it on real-world tasks, showing that indeed this agent can improve its translation performance autonomously and in a stable fashion, when seeded with a very small initial training set. The modelling approach we develop for this agent is general, and we believe will be useful for an entire class of self-learning autonomous...
Marco Turchi, Tijl De Bie, Nello Cristianini
Added 21 May 2010
Updated 21 May 2010
Type Conference
Year 2009
Where IAT
Authors Marco Turchi, Tijl De Bie, Nello Cristianini
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