The Sanskrit WordNet is a resource currently under development, whose core was induced from a Vedic text sample semantically annotated by means of an ontology mapped on the Princeton WordNet synsets.Building on a previous case study on Ancient Greek (Zanchi et al. 2021), we show how sentence frames can be extracted from morphosyntactically parsed corpora by linking an existing dependency treebank of Vedic Sanskrit to verbal synsets in the Sanskrit WordNet.Our case study focuses on two verbs of asking, yācand prach-, featuring a high degree of variability in sentence frames.Treebanks enhanced with WordNet-based semantic information revealed to be of crucial help in motivating sentence frame alternations.1 https://sanskritwordnet.unipv.it.ditransitive verbs denote physical ('give', 'lend', 'hand', 'sell') or mental ('tell', 'show') transfer.Generalizations on SF alternations featured by verbs of asking can thus be partially extended and compared with those on other ditransitive verbs.The paper is organized as follows.Sec. 2 describes the features of the SWN and of the family of WNs to which it belongs.Sec. 3 introduces the VTB and shows how we link the data.Sec. 4 reviews the morphosyntactic information contained in some WNs.Sec. 5 discusses the sentence frames of yācand prach-.Sec.6 concludes the paper.

This paper shows how WordNets can be employed in tandem with morpho-syntactically annotated corpora to study poetic formulas.Pairing the lexico-semantic information of the Sanskrit WordNet with morphosyntactic annotation from the Vedic Treebank, we perform a pilot study of formulas including SPEECH verbs in the RigVeda, the most ancient text of the.

This paper presents the work in progress toward the creation of a family of WordNets for Sanskrit, Ancient Greek, and Latin.Building on previous attempts in the field, we elaborate these efforts bridging together WordNet relational semantics with theories of meaning from Cognitive Linguistics.We discuss some of the innovations we have introduced to the WordNet architecture, to better capture the polysemy of words, as well as Indo-European language family-specific features.We conclude the paper framing our work within the larger picture of resources available for ancient languages and showing that WordNet-backed search tools have the potential to re-define the kinds of questions that can be asked of ancient language corpora.