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In this paper, I investigate the suppletion patterns that are found in languages that make a clusivity distinction. I will show that in the triple 1SG-1EXCL-1INCL, ABA patterns do not arise, consonant with other work on suppletion patterns (Bobaljik 2012, Smith et al. 2016). That is, it is not possible for the exclusive pronoun to supplete on its own whilst the singular and inclusive share a common base. All other patterns are attested. I will argue that the lack of ABA patterns supports the view that the inclusive is the most marked category in this set (Noyer 1992, Siewierska 2004, Cysouw 2003, a.o.), and propose that there is a containment relation such that the feature set that makes up the inclusive properly contains the features that form the exclusive, following the reasoning laid out in Bobaljik (2012). I further consider the makeup of person features, and argue that the lack of ABA patterns in clusivity suggest that clusivity features are privative, rather than binary ('cf'. Harbour 2016).
This paper describes work on the morphological and syntactic annotation of Sumerian cuneiform as a model for low resource languages in general. Cuneiform texts are invaluable sources for the study of history, languages, economy, and cultures of Ancient Mesopotamia and its surrounding regions. Assyriology, the discipline dedicated to their study, has vast research potential, but lacks the modern means for computational processing and analysis. Our project, Machine Translation and Automated Analysis of Cuneiform Languages, aims to fill this gap by bringing together corpus data, lexical data, linguistic annotations and object metadata. The project’s main goal is to build a pipeline for machine translation and annotation of Sumerian Ur III administrative texts. The rich and structured data is then to be made accessible in the form of (Linguistic) Linked Open Data (LLOD), which should open them to a larger research community. Our contribution is two-fold: in terms of language technology, our work represents the first attempt to develop an integrative infrastructure for the annotation of morphology and syntax on the basis of RDF technologies and LLOD resources. With respect to Assyriology, we work towards producing the first syntactically annotated corpus of Sumerian.