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        <title>Identification of Indigenous Knowledge Concepts through Semantic Networks, Spelling Tools and Word Embeddings</title>
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        <namePart type="given">Renato</namePart>
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    <abstract>In order to access indigenous, regional knowledge contained in language corpora, semantic tools and network methods are most typically employed. In this paper we present an approach for the identification of dialectal variations of words, or words that do not pertain to High German, on the example of non-standard language legacy collection questionnaires of the Bavarian Dialects in Austria (DBÖ). Based on selected cultural categories relevant to the wider project context, common words from each of these cultural categories and their lemmas using GermaLemma were identified. Through word embedding models the semantic vicinity of each word was explored, followed by the use of German Wordnet (Germanet) and the Hunspell tool. Whilst none of these tools have a comprehensive coverage of standard German words, they serve as an indication of dialects in specific semantic hierarchies. Methods and tools applied in this study may serve as an example for other similar projects dealing with non-standard or endangered language collections, aiming to access, analyze and ultimately preserve native regional language heritage.</abstract>
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%0 Conference Proceedings
%T Identification of Indigenous Knowledge Concepts through Semantic Networks, Spelling Tools and Word Embeddings
%A Rocha Souza, Renato
%A Dorn, Amelie
%A Piringer, Barbara
%A Wandl-Vogt, Eveline
%S Proceedings of the 12th Language Resources and Evaluation Conference
%D 2020
%8 may
%I European Language Resources Association
%C Marseille, France
%@ 979-10-95546-34-4
%G English
%F rocha-souza-etal-2020-identification
%X In order to access indigenous, regional knowledge contained in language corpora, semantic tools and network methods are most typically employed. In this paper we present an approach for the identification of dialectal variations of words, or words that do not pertain to High German, on the example of non-standard language legacy collection questionnaires of the Bavarian Dialects in Austria (DBÖ). Based on selected cultural categories relevant to the wider project context, common words from each of these cultural categories and their lemmas using GermaLemma were identified. Through word embedding models the semantic vicinity of each word was explored, followed by the use of German Wordnet (Germanet) and the Hunspell tool. Whilst none of these tools have a comprehensive coverage of standard German words, they serve as an indication of dialects in specific semantic hierarchies. Methods and tools applied in this study may serve as an example for other similar projects dealing with non-standard or endangered language collections, aiming to access, analyze and ultimately preserve native regional language heritage.
%U https://aclanthology.org/2020.lrec-1.118
%P 943-947

Markdown (Informal)

[Identification of Indigenous Knowledge Concepts through Semantic Networks, Spelling Tools and Word Embeddings](https://aclanthology.org/2020.lrec-1.118) (Rocha Souza et al., LREC 2020)

• Identification of Indigenous Knowledge Concepts through Semantic Networks, Spelling Tools and Word Embeddings (Rocha Souza et al., LREC 2020)

ACL

• Renato Rocha Souza, Amelie Dorn, Barbara Piringer, and Eveline Wandl-Vogt. 2020. Identification of Indigenous Knowledge Concepts through Semantic Networks, Spelling Tools and Word Embeddings. In Proceedings of the 12th Language Resources and Evaluation Conference, pages 943–947, Marseille, France. European Language Resources Association.