A Formal Ontology-Based Classification of Lexemes and its Applications

TL;DR

This paper enhances OntoSenseNet by creating a Telugu-specific lexical resource with manually annotated verbs, adverbs, and adjectives, preserving native language nuances for improved sense annotation and validation.

Contribution

It introduces a computational Telugu dictionary with manual annotations, integrating native speaker insights and validating through inter-annotator agreement, enriching lexical resources for Indian languages.

Findings

Created a Telugu lexical resource with 8483 verbs, 253 adverbs, 1673 adjectives

Achieved high inter-annotator agreement validating annotation quality

Compared resource statistics with Telugu WordNet for insights

Abstract

The paper describes the enrichment of OntoSenseNet - a verb-centric lexical resource for Indian Languages. A major contribution of this work is preservation of an authentic Telugu dictionary by developing a computational version of the same. It is important because native speakers can better annotate the sense-types when both the word and its meaning are in Telugu. Hence efforts are made to develop the aforementioned Telugu dictionary and annotations are done manually. The manually annotated gold standard corpus consists 8483 verbs, 253 adverbs and 1673 adjectives. Annotations are done by native speakers according to defined annotation guidelines. In this paper, we provide an overview of the annotation procedure and present the validation of the developed resource through inter-annotator agreement. Additional words from Telugu WordNet are added to our resource and are crowd-sourced for annotation. The statistics are compared with the sense-annotated lexicon, our resource for more insights.