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WordNet is a semantic lexicon for the English language. It groups English words into sets of synonyms called synsets, provides short, general definitions, and records the various semantic relations between these synonym sets. The purpose is twofold: to produce a combination of dictionary and thesaurus that is more intuitively usable, and to support automatic text analysis and artificial intelligence applications. The database and software tools have been released under a BSD style license and can be downloaded and used freely.

An artificial neural network involves a network of simple processing elements which can exhibit complex global behaviour, determined by the connections between the processing elements and element parameters. In a neural network model, simple nodes (called variously “neurons”, “neurodes”, “PEs” (“processing elements”) or “units”) are connected together to form a network of nodes — hence the term “neural network”. While a neural network does not have to be adaptive per se, its practical use comes with algorithms designed to alter the strength (weights) of the connections in the network to produce a desired signal flow.


Problem tackled in the project The utility of artificial neural network models lies in the fact that they can be used to infer a function from observations. This is particularly useful in applications where the complexity of the data or task makes the design of such a function by hand impractical. As a fine example we can use online dictionary. There are plenty free English language based online dictionaries almost any other language possible but not so many of other languages especially of a smaller group of languages to other smaller group of languages.

We would like to tackle this problem and try to develop a system that could use English as a base language and provide use with acquired enough translation with out actually having a proper dictionary. The specific objectives Research a possible use of learning paradigms (supervised learning, unsupervised learning and reinforcement learning). Research a possible use of WordNet on web based software. Write a web based software (online dictionary) that will be able to use neural algorithms, available English dictionary databases, WordNet database to achieve greater accuracy in cross-language translations.

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