Author

Maria Sukhareva

Observed name: Sukhareva, Maria

Observed institutions: Goethe University Frankfurt, BMW (Germany), Siemens (Germany), Lomonosov Moscow State University, Technische Universität Darmstadt, BMW Group (Germany)

ORCID: 0009-0000-1952-8727

Observed ORCID: 0009-0000-1952-8727

OpenAlex ID: A5040300223

OLiA – Ontologies of Linguistic Annotation

2015 · Christian Chiarcos, Maria Sukhareva · Semantic Web · 68

Machine Translation and Automated Analysis of the Sumerian Language

2017 · Émilie Pagé-Perron, Maria Sukhareva, et al. · Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature (LaTeCH-CLfL) · 24

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A Streamlined Method for Sourcing Discourse-level Argumentation Annotations from the Crowd

2019 · Tristan Miller, Maria Sukhareva, et al. · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) · 15

New Collection Announcement

2016 · Ivan Habernal, Maria Sukhareva, et al. · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · 13

Analyzing Middle High German Syntax with RDF and SPARQL

2018 · Christian Chiarcos, Benjamin Kosmehl, et al. · Language Resources and Evaluation Conference (LREC) · 9

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Distantly Supervised POS Tagging of Low-Resource Languages under Extreme Data Sparsity: The Case of Hittite

2017 · Maria Sukhareva, Francesco Fuscagni, et al. · Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature (LaTeCH-CLfL) · 7

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Diachronic proximity vs. data sparsity in cross-lingual parser projection. A case study on Germanic

2014 · Maria Sukhareva, Christian Chiarcos · 7

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Crowdsourcing a Large Dataset of Domain-Specific Context-Sensitive Semantic Verb Relations

2016 · Maria Sukhareva, Judith Eckle-Kohler, et al. · Language Resources and Evaluation Conference (LREC) · 5

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Predicting Customer Satisfaction in Service Processes Using Multilingual Large Language Models

2024 · Annina Liessmann, Sandra Zilker, et al. · Proceedings of the ... Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System Sciences · 4

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Combining Ontologies and Neural Networks for Analyzing Historical Language Varieties. A Case Study in Middle Low German

2016 · Maria Sukhareva, Christian Chiarcos · Language Resources and Evaluation Conference (LREC) · 4

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New Technologies for Old Germanic. Resources and Research on Parallel Bibles in Older Continental Western Germanic

2014 · Christian Chiarcos, Maria Sukhareva, et al. · 3

Towards Precise Lexicon Integration in Neural Machine Translation

2021 · Ogün Öz, Maria Sukhareva, et al. · 1

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Context-Aware Text Normalisation for Historical Dialects

2020 · Maria Sukhareva · International Conference on Computational Linguistics · 1

Towards the Unsupervised Acquisition of Implicit Semantic Roles

2015 · Niko Schenk, Christian Chiarcos, et al. · OPUS (Augsburg University) · 1

A Three-Step Model of Language Detection in Multilingual Ancient Texts

2011 · Maria Sukhareva, Zahurul Islam, et al. · LDV-Forum/Journal for language technology and computational linguistics · 1

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Measuring University Impact: Wikipedia Approach

2021 · Tatiana Kozitsina Babkina, Viacheslav Goiko, et al. · International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency (SUMMA)

Machine Translation and Automated Analysis of Cuneiform Languages (MTAAC)

2017 · Baker, Heather D., Chiarcos, Christian, et al. · Knowledge Commons (Lakehead University)

An Ontology-based Approach To Automatic Part-of-Speech Tagging Using Heterogeneously Annotated Corpora

2015 · Maria Sukhareva, Christian Chiarcos · OPUS (Augsburg University)

New Technologies for Old Germanic Languages: Resources and Research on Parallel Gospels in Older Continental Western Germanic

2014 · Chiarcos, Christian, Chobotsky, Jens, et al. · OPUS (Augsburg University)

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Works count: 23

Citation count: 164

H-index: 7

I10-index: 4