The SSHOC Multilingual Data Stewardship Terminology is a multilingual terminology that collects terms specific to the domain of Data Stewardship, as well as their definitions. A list of domain-specific terms was automatically extracted from a corpus pertaining to the do...

Manually-corrected OCR of G.A. Saalfeld's list of 1,763 Latin loans from Ancient Greek (1874).

The Index Thomisticus Treebank (IT-TB) is the syntactically annotated portion of the Index Thomisticus corpus (Busa, 1974-1980), which collects the opera omnia of Thomas Aquinas. The IT-TB includes the “analytical” (i.e. surface syntactic) annotation of the entire “Summ...

Prior polarity lexicon for Latin.

The LiLa Lemma Bank is the core of the LiLa Knowledge Base. It consists of a large collection of Latin lemmas, serving as the backbone to achieve interoperability between the resources, by linking all those entries in lexical resources and tokens in corpora that point t...

Proto-Italic and Proto-Indo-European reconstructed forms used to explain the history of 1,400 Latin words taken from the most recent "Etymological Dictionary of Latin and the other Italic Languages" (de Vaan, 2008), modeled following the Linked Data paradigm and release...

Training and gold test data released in EvaLatin 2020, the evaluation campaign of NLP tools for Latin. The two shared tasks proposed in EvaLatin 2020, i. e. Lemmatization and Part-of-Speech tagging, were aimed at fostering research in the field of language technologies ...

Word Formation Latin (WFL) is a derivational morphology resource where lemmas are analysed into their formative components, and relationships between them are established on the basis of Word Formation Rules (WFRs).

This is an LMF compliant version of Italwordnet created from the original DB in 2008, and used for reasearch in the context of the Knowledge Yielding Ontologies for Transition-based Organisations (KYOTO) project. It contains: 49514 synsets 67105 senses 47141 lemmas 1317...

Il Lessico Italiano dei Sentimenti è stato sviluppato in modo semi-automatico da ItalWordNet v.2 partendo da una lista di 1.000 parole-chiave controllate manualmente. Contiene 24.293 entrate lessicali annotate con polarità positiva/negativa/neutra. E' distribuito in for...