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This article presents the main results of a corpus-based analysis of the metaphorical expression of emotions in Latin and a new resource specifically designed to facilitate such large-scale study of conceptual metaphors, the Lexicon Translaticium Latinum. The first part of the paper provides quantitative and qualitative evidence about the types of metaphors used by Roman writers to express four basic emotions: fear, anger, love, and hate. Our research takes a corpus-based and target-oriented approach, analyzing all occurrences of the main lexemes denoting these emotions in Latin texts dating between the third century BCE and the second century CE. The results demonstrate the highly embodied nature of the metaphors used by Latin authors to make sense of (and express linguistically) their experiences of fear, anger, love, and hate. Moreover, the differences in the usage of the metaphorical patterns across the four semantic fields, in terms of type and frequency, correlate with the different physiological reactions provoked by the four emotions we examined. In the second part of the paper, we present the Lexicon Translaticium Latinum, an open-access, digital dictionary of Latin metaphors, currently under development. It facilitates large-scale analyses of highly conventionalized metaphoric patterns that organize meanings throughout Latin, at the same time allowing the kinds of relations that subsist between different types of metaphors to be captured and encoded in machine-readable formats.

CLaSSES (Corpus for Latin Sociolinguistic Studies on Epigraphic textS) is an annotated corpus aimed at (socio)linguistic research on Latin inscriptions. Provided with linguistic, extra- and meta-linguistic features, it can be used to perform quantitative and qualitative variationist analyses on Latin epigraphic texts. In particular, it allows the user to analyze spelling (and possibly phonetic-phonological) variants and to interpret them with reference to the dating, the provenance place, and the type of the texts. This paper presents the first macro-section of CLaSSES, focused on inscriptions of the archaic and early periods (CLaSSES I).

Action verbs have many meanings, covering actions in different ontological types. Moreover, each language categorizes action in its own way. One verb can refer to many different actions and one action can be identified by more than one verb. The range of variations within and across languages is largely unknown, causing trouble in all translation tasks. IMAGACT is a corpus-based ontology of action concepts, derived from English and Italian spontaneous speech corpora, which makes use of the universal language of images to identify the different action types extended by verbs referring to action in English, Italian, Chinese and Spanish. This paper presents the IMAGACT search interface and the various kinds of linguistic information the user can derive from it. IMAGACT makes explicit the variation of meaning of action verbs within one language and allows comparisons of verb variations within and across languages. Because the action concepts are represented with videos, extension into new languages beyond those presently implemented in IMAGACT is done using competence-based judgments by mother-tongue informants, without intense lexicographic work involving underdetermined semantic descriptions.

CLaSSES (Corpus for Latin Sociolinguistic Studies on Epigraphic textS) is an annotated corpus for quantitative and qualitative sociolinguistic analyses on Latin inscriptions. It allows specific researches on phonological and morphophonological phenomena of non-standard Latin forms with crucial reference to the typology of the text, its origin and chronological collocation. This paper presents the first macrosection of CLaSSES, focused on the inscriptions from the archaicearly period.