Papers by Giedrė Valūnaitė Oleškevičienė

2 papers
Cross-Lingual Link Discovery for Under-Resourced Languages (2022.lrec-1)

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Challenge: Linked data paradigms can be used to solve under-resourced languages' problem of under-utilization of resources.
Approach: They propose a paradigm for cross-lingual link discovery that can be applied to under-resourced languages . they argue that techniques for cross language linking can be readily applied .
Outcome: The proposed technologies can be applied to under-resourced languages, the authors argue . the authors show that the Linked Data paradigm can be used to solve the problem .
Morphological Complexity of Children Narratives in Eight Languages (2022.lrec-1)

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Challenge: morphological complexity of a corpus representing the language production of younger and older children is compared across different languages.
Approach: a study compares morphological complexity of a corpus representing language production of younger and older children across different languages.
Outcome: The results show that younger children corpora have lower morphological complexity than older children corpus for Spanish and Russian.

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