IAN
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== Requirements == | == Requirements == | ||
− | As a universal engine, IAN must be parameterized to the | + | As a universal engine, IAN must be parameterized to the source languages with the following files, to be provided through IAN's interface: |
*The input natural language document, i.e., the document to be UNL-ized | *The input natural language document, i.e., the document to be UNL-ized | ||
*The NL-UNL (analysis) dictionary, i.e., a lexical database where [[UW]]s are mapped into natural language entries, along with the corresponding features, to be provided according to the [[UNL Dictionary Specs]] | *The NL-UNL (analysis) dictionary, i.e., a lexical database where [[UW]]s are mapped into natural language entries, along with the corresponding features, to be provided according to the [[UNL Dictionary Specs]] |
Revision as of 00:50, 23 July 2012
IAN is a natural language analysis system. It represents natural language sentences as semantic networks in the UNL format. In its current release, it is a web application developed in Java and available at the UNLdev.
The name
IAN is an acronym for Interactive ANalysis system.
Requirements
As a universal engine, IAN must be parameterized to the source languages with the following files, to be provided through IAN's interface:
- The input natural language document, i.e., the document to be UNL-ized
- The NL-UNL (analysis) dictionary, i.e., a lexical database where UWs are mapped into natural language entries, along with the corresponding features, to be provided according to the UNL Dictionary Specs
- The NL-UNL (analysis) transformation grammar, i.e., a set of of transformation rules used to convert natural language sentences into UNL graphs, to be provided according to the UNL Grammar Specs
- The NL-UNL (analysis) disambiguation grammar, i.e, a set of disambiguation rules used to improve the results of the tokenization and of the transformation
Functioning
IAN performs the three following movements over the input file:
- Segmentation, i.e., the division of the input document into a series of processing units (sentences), which are processed one at a time
- Tokenization, i.e., the identification of the tokens (lexical items) of each sentence of the input document
- Transformation, i.e., the application of the transformation rules of the grammar over each tokenized sentence in order to represent it as a UNL graph