Mapping Persian Words to WordNet Synsets

Lexical ontologies are one of the main resources for developing natural language processing and semantic web applications. Mapping lexical ontologies of different languages is very important for inter-lingual tasks. On the other hand mapping approaches can be implied to build lexical ontologies for a new language based on pre-existing resources of other languages. In this paper we propose a semantic approach for mapping Persian words to Princeton WordNet Synsets. As there is no lexical ontology for Persian, our approach helps not only in building one for this language but also enables semantic web applications on Persian documents. To do the mapping, we calculate the similarity of Persian words and English synsets using their features such as super-classes and subclasses, domain and related words. Our approach is an improvement of an existing one applying in a new domain, which increases the recall noticeably

A descriptive study about Wordnet (MCR) and linguistics synsets

Este artigo apresenta o trabalho realizado para aplicar a WordNet MCR ao domínio linguístico e discute as situações problemáticas geradas pela estrutura WordNet e pelas características inerentes ao domínio. Foi empregado o enfoque descritivo para explicar como a manutenção da estrutura original da WordNet pode afetar as extensões de um domínio específico. Nossos resultados mostram que, para poder ampliar os synsets de domínios específicos, é inevitável uma reorganização estrutural

Mapping and Structural Analysis of Multi-lingual Wordnets

In this paper, we present observations on structural properties of wordnets of three languages: English, Hindi, and Marathi. Hindi and Marathi, spoken widely in India, rank 5th and 14th respectively in the world in terms of the number of people speaking these languages. The observations suggest the existence of the ‘small world ’ property in wordnets and also lend credence to the belief that the world of concepts, which the words are manifestations of, share common properties across languages. These concepts are represented by synsets (sets of synonymous words) in wordnets. Therefore, it makes sense to link the synsets of wordnets of different languages to create a global wordnet grid. In fact, the EuroWordnet project is already doing so for a number of European languages. We too report our work on linking English, Hindi and Marathi synsets. The first task – linking of English and Hindi wordnets – requires clever ideas on mapping accurately the synsets of the two languages. The second task – relatively easier due to the close correspondence between Hindi and Marathi – reduces to programmatically borrowing lexico-semantic relations from the Hindi wordnet into the Marathi wordnet, since the Marathi wordnet is largely aligned with the Hindi wordnet. To the best of our knowledge, ours is the first in-depth investigation into lexical knowledge networks of multiple languages with a view to evaluating them, and also the first attempt to create a multiwordnet involving two major Indian languages and English.