Multilingual Central Repository: a Cross-lingual Framework for Developing Wordnets
Language resources are necessary for language processing,but building them is costly, involves many researches from different areas and needs constant updating. In this paper, we describe the crosslingual framework used for developing the Multilingual Central Repository (MCR), a multilingual knowledge base that includes wordnets of Basque, Catalan, English, Galician, Portuguese, Spanish and the following ontologies: Base Concepts, Top Ontology, WordNet Domains and Suggested Upper Merged Ontology. We present the story of MCR, its state in 2017 and the developed tools.
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
Multilingual Central Repository version 3.0
This paper describes the upgrading process of the Multilingual Central Repository (MCR). The new MCR uses WordNet 3.0 as Interlingual-Index (ILI). Now, the current version of the MCR integrates in the same EuroWordNet fr…
M2rc-Eval: Massively Multilingual Repository-level Code Completion Evaluation
Repository-level code completion has drawn great attention in software engineering, and several benchmark datasets have been introduced. However, existing repository-level code completion benchmarks usually focus on a li…
Code CompletionResources for Multilingual Hate Speech Detection
Most of the published approaches and resources for hate speech detection are tailored for the English language. In consequence, cross-lingual and cross-cultural perspectives lack some essential resources.The lack of dive…
DiversityHate Speech DetectionML2B: Multi-Lingual ML Benchmark For AutoML
Large language models (LLMs) have recently demonstrated strong capabilities in generating machine learning (ML) code, enabling end-to-end pipeline construction from natural language instructions. However, existing benchm…
Representation LearningCode GenerationExploring Polyglot Harmony: On Multilingual Data Allocation for Large Language Models Pretraining
Large language models (LLMs) have become integral to a wide range of applications worldwide, driving an unprecedented global demand for effective multilingual capabilities. Central to achieving robust multilingual perfor…