Papers by Maxim Ionov
Fintan - Flexible, Integrated Transformation and Annotation eNgineering (2020.lrec-1)
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| Challenge: | Fintan is a platform for converting heterogeneous linguistic resources to RDF. |
| Approach: | They introduce Fintan for converting heterogeneous linguistic resources to RDF with its modular architecture, workflow management and visualization features. |
| Outcome: | The Fintan platform is designed to transform linguistic resources to graphs and graphs. |
Bridging Computational Lexicography and Corpus Linguistics: A Query Extension for OntoLex-FrAC (2024.lrec-main)
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| Challenge: | OntoLex is the dominant community standard for machine-readable lexical resources . it is currently extended with a designated module for Frequency, Attestations and Corpus-based Information . |
| Approach: | They propose a module for Frequency, Attestations and Corpus-based Information for OntoLex . the module enables RDF-based web services to exchange corpus queries dynamically . |
| Outcome: | The proposed module addresses the incorporation of corpus queries for linking dictionaries with corpus engines and enabling RDF-based web services to exchange corpus query data dynamically. |
Universal Morphologies for the Caucasus region (L18-1)
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Christian Chiarcos, Kathrin Donandt, Maxim Ionov, Monika Rind-Pawlowski, Hasmik Sargsian, Jesse Wichers Schreur, Frank Abromeit, Christian Fäth
| Challenge: | Caucasus region is famed for its rich and diverse arrays of languages and language families . authors describe efforts to improve the coverage of Universal Morphologies for languages of the region . |
| Approach: | They propose to improve the coverage of Universal Morphologies for Caucasus languages . they propose to complement the Universal Dependencies which focus on morphosyntax and syntax. |
| Outcome: | The proposed framework improves the coverage of languages of the Caucasus region . the proposed framework criticizes the UniMorph TSV format for its limited expressiveness . |
The ACoLi Dictionary Graph (2020.lrec-1)
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| Challenge: | ACoLi Dictionary Graph is a collection of multilingual open source dictionaries available in two machine-readable formats. |
| Approach: | They propose to map and harmonize ACoLi Dictionary Graph into a unified representation and a tabular data format to facilitate their use in NLP tasks. |
| Outcome: | The ACoLi Dictionary Graph is a collection of multilingual open source dictionaries available in two machine-readable formats. |
On Modelling Corpus Citations in Computational Lexical Resources (2024.lrec-main)
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| Challenge: | TEI and OntoLex deal with corpus citations in lexicons. |
| Approach: | They argue that TEI and OntoLex can be used to model corpus citations in lexicons . they also argue that they should be combined to achieve a more accurate encoding . |
| Outcome: | The proposed approach favours a combination of TEI and OntoLex . the proposed approach is based on a model of an example entry from a legacy dictionary . |
Unifying Morphology Resources with OntoLex-Morph. A Case Study in German (2022.lrec-1)
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| Challenge: | OntoLex is a widely used community standard for machine-readable lexical resources on the web. |
| Approach: | They propose a module for representing morphology that can be used to encode and integrate morphological resources on a unified basis. |
| Outcome: | The proposed module can be used to represent morphological resources on a unified basis. |
Querying a Dozen Corpora and a Thousand Years with Fintan (2022.lrec-1)
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| Challenge: | Large-scale quantitative diachronic corpus studies are difficult if multiple corpus are to be consulted . multi-layer corpus technology can solve the problem, but it requires the user to run queries manually. |
| Approach: | They propose a platform for studying word order in German using syntactically annotated corpora . fintan is a flexible integrated transformation and annotation platform . |
| Outcome: | The proposed platform can be used to study word order in German . it hints at two major phases in the development of scrambling in modern german . |