This article proceeds along three primary lines. First, through an examination of the writings Roy and Alice Eckardt Franklin Littell, it demonstrates that categorizing ancient modern Christian thinkers under umbrella “supersessionism” (along with label for its proponent, “supersessionist”) originated not in scholarly works theological history or systematic theology, where concepts now most fre...

Shared vocabularies and ontologies are essential for many applications. Although standards recommendations already cover areas, adaptations usually necessary to represent concrete use-cases properly. Domain experts unfamiliar with ontology engineering, which creates special requirements needed tool support. Simple sketch applications too imprecise, while comprehensive editors often complicated ...

Language is a dynamic landscape in which words are not fixed landmarks, but fickle signposts that switch their directions as archaic senses are lost and new, more topical senses, are gained. Frequently, entirely new lexical signposts are added as newly minted word-forms enter the language. Some of these new forms are cut from whole cloth and have their origins in creative writing, movies or gam...

This paper discusses the emergence of contrast between alveolar stops and alveopalatal affricates in Brazilian Portuguese. Usage-Based Phonology [3] and Exemplar Models [11, 15] are the theoretical perspectives adopted. Alveopalatal affricates were formerly introduced in Brazilian Portuguese as a consequence of the process of palatalization according to which an alveolar stop would be manifeste...

This paper details a software designed to track neologisms in seven languages through newspapers monitor corpora. The platform combines state-of-the-art processes to track linguistic changes and a web platform for linguists to create and manage their corpora, accept or reject automatically identified neologisms, describe linguistically the accepted neologisms and follow their lifecycle on the m...

In this paper we present a statistical machine learning approach to formal neologism detection going some way beyond the use of exclusion lists. We explore the impact of three groups of features: form related, morpho-lexical and thematic features. The latter type of features has not yet been used in this kind of application and represents a way to access the semantic context of new words. The r...