In this paper, we present the NILOMORPH project, that aims at describing the complex non-concatenative morphology of West Nilotic languages and reconstructing the dynamics of its evolution from a more straightforward concatenative system. The project adopts techniques from several methodologies and draws on many kinds of data displaying different formats, tagsets and conventions. Data are also multilingual, documenting different West Nilotic varieties, and multimodal, including also audio and video recordings. This makes the process of integration of these data particularly challenging. We first describe how the data can be converted to standard formats such as CLDF and Paralex, to achieve interoperability between resources of the same kind. We then discuss how they can be modelled as Linguistic Linked Open Data in the Resource Description Framework, reusing already existing vocabularies and defining new classes and properties to meet the needs of the project, to also achieve interoperability between resources of different kinds.

We introduce Eesthetic, a comprehensive Estonian noun and verb lexicon sourced from the Ekilex database. It documents 5475 nouns inflecting for 28 paradigm cells and 5076 verbs inflecting for 51 cells, and comprises a total of 452885 inflected forms. Our openly accessible machine-readable dataset adheres to the Paralex standard. It comprises CSV tables linked by formal relationships. Metadata in JSON format, following the Frictionless standard, provides detailed descriptions of the tables and dataset. The lexicon offers extensive linguistic annotations, including orthographic forms, automatically transcribed phonemic transcriptions, non-canonical morphological phenomena such as overabundance and defectiveness, rich mapping of the paradigm cells and feature-values to other notation schemes, a decomposition of phonemes in distinctive features, and annotation of inflection classes. It is suited for both monolingual and comparative research, enabling qualitative and quantitative analysis. This paper outlines the creation process, rationale, and resulting structure, along with our set of rules for automatic orthography-to-phonemic transcription conversion.