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This study examines linguistic variation within Biblical Hebrew
\nby using Recurrent Neural Networks (RNNs) to detect differences
\nand cluster the Old Testament books accordingly. Various linguistic
\nfeatures are analysed that are traditionally considered to be of importance in analysing linguistic variation. The traditional division
\nof books as either Early Biblical Hebrew or Late Biblical Hebrew is
\nhereby put to the test. Results show that RNNs are a fitting method
\nfor analysing the (morpho)syntax of a language. The model works
\nwell on both separate features, as well as all the features combined.
\nOn the basis of the results the RNNs provide, we propose that
\nthe diachronic approach to Biblical Hebrew is indeed plausible.
\nThe clusters generally hint to the scholarly division made in the
\ndiachronic approach to linguistic variation
\n
This volume contains the proceedings of the 2018/2019 edition of the Academy Assistant program organized by the Network Institute of Vrije Universiteit Amsterdam (http://networkinstitute.org/research/academy-assistants/). With this program the Network Institute aims to interest bright young master students for conducting scientific research and pursuing an academic career. The program brings together scientists from different disciplines; every project combines methods & themes from informatics, social sciences and/or humanities. For each project, two student research assistants with different research backgrounds work together.
\r\n\r\nEach of the projects resulted in a research paper reporting on the research questions, methods and main findings. These papers are collected in these proceedings after having undergone a light reviewing process by the coordinators of the program. The papers are co-authored by the respective research assistants, the supervisors and other contributors. They reflect the broad spectrum of interdisciplinary work associated with the networked world.
", "title": "Proceedings of the Netwerk Institute Academy Assistants programme 2018-2019" }, "revision_id": 0, "slug": "niaaproceedings1819", "updated": "2020-08-27T07:48:26.992320+00:00" } ], "ids": [ "1320ed3b-cec8-476f-8abe-b931063596dd" ] }, "id": "4003508", "pids": { "doi": { "client": "datacite", "identifier": "10.5281/zenodo.4003508", "provider": "datacite" } } }, "pids": { "doi": { "client": "datacite", "identifier": "10.5281/zenodo.4003509", "provider": "datacite" }, "oai": { "identifier": "oai:zenodo.org:4003509", "provider": "oai" } }, "revision_id": 2, "stats": { "all_versions": { "data_volume": 904967280.0, "downloads": 315, "unique_downloads": 289, "unique_views": 410, "views": 435 }, "this_version": { "data_volume": 904967280.0, "downloads": 315, "unique_downloads": 289, "unique_views": 408, "views": 433 } }, "status": "published", "updated": "2020-08-27T12:59:23.261563+00:00", "versions": { "index": 1, "is_latest": true } }