Differences

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--- outcomes:mou-deliverable [2023/04/07 16:25] – created agata.savary
+++ outcomes:mou-deliverable [2023/08/29 16:04] (current) – agata.savary
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-===== UniDive deliverables ======
+====== UniDive deliverables =======
 This page lists the UniDive deliverables, as defined in the {{ :ca21167-memorandum_of_understanding.pdf |Memorandum of Understanding}}.
+  - A scientific publication describing **measures** of inter- and intra-linguistic diversity in language resources and tools.
+  - Unified, enhanced and enlarged versions of existing **annotation guidelines** for lexical features, morphology, syntax and MWEs, together with the criteria for applying these unified guidelines to specific languages.
+  - Centralized **documentation of** the nationally funded **software infrastructures** coordinated in WG1 and WG4, to support universality and diversity in language resources.
+  - Centralized documentation of unified **file formats** and conventions for corpora and lexica.
+  - Centralized **documentation of** (new or enhanced) **annotated corpora** for at least 100 languages.
+  - **Documentation** of prototypes of NLP-applicable **lexica** of MWEs and idiosyncratic constructions.
+  - Centralized **documentation** of multilingual and cross-lingual **NLP tools** (§1.1.1.3) coordinated in WG3: syntactic and semantic parsers, MWE discovery tools, MWE identifiers, prototypes of identifiers of idiosyncratic constructions.
+  - Diversity **benchmarks** for NLP: diversity-driven evaluation scenarios for NLP resources and tools; infrastructure for evaluation campaigns of NLP tools; evaluation results of at least 2 evaluation campaigns and focused on inter/intra-linguistic diversity in 100 languages.
+  - **Website**: describing the Action’s organisation, and gathering the links to its events and outcomes.
+  - Other **dissemination material**: reports from STSMs; material from training schools; proceedings of workshops; joint papers in Open Access journals, conferences and books; dissemination material dedicated to a large audience (e.g., demonstrations of tools and Wikipedia entries about diversity in NLP, MWEs and idiosyncratic constructions, and interesting syntactic phenomena).