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Universal Dependencies v2: An Evergrowing Multilingual Treebank Collection
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Universal Dependencies is an open community effort to create cross-linguistically consistent treebank annotation for many languages within a dependency-based lexicalist framework. The annotation consists in a linguistically motivated word segmentation; a morphological layer comprising lemmas, universal part-of-speech tags, and standardized morphological features; and a syntactic layer focusing on syntactic relations between predicates, arguments and modifiers. In this paper, we describe version 2 of the guidelines (UD v2), discuss the major changes from UD v1 to UD v2, and give an overview of the currently available treebanks for 90 languages.
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Cited by 1 Pith paper
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Segment First or Comprehend First? Explore the Limit of Unsupervised Word Segmentation with Large Language Models
LLMs can segment boundary-less languages directly from prompts, and the LLACA method distills this ability into a fast automaton that beats prior unsupervised Chinese word segmentation.
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