DINFRA: A One Stop Shop for Computing Multilingual Semantic Relatedness
This is an incremental tool for researchers and developers in natural language processing to access and compare multilingual semantic models easily.
The paper introduces DINFRA, an infrastructure for computing multilingual semantic relatedness across twelve languages using three distributional semantic models, providing a platform for processing large corpora and conducting experiments without the complexities of building models.
This demonstration presents an infrastructure for computing multilingual semantic relatedness and correlation for twelve natural languages by using three distributional semantic models (DSMs). Our demonsrator - DInfra (Distributional Infrastructure) provides researchers and developers with a highly useful platform for processing large-scale corpora and conducting experiments with distributional semantics. We integrate several multilingual DSMs in our webservice so the end user can obtain a result without worrying about the complexities involved in building DSMs. Our webservice allows the users to have easy access to a wide range of comparisons of DSMs with different parameters. In addition, users can configure and access DSM parameters using an easy to use API.