Universal dependencies (UD) is a framework for morphosyntactic annotation of human language, which to date has been used to create treebanks for more than 100 languages. In this article, we outline the linguistic theory of the UD framework, which draws on a long tradition of typologically oriented grammatical theories. Grammatical relations between words are centrally used to explain how predicate–argument structures are encoded morphosyntactically in different languages while morphological features and part-of-speech classes give the properties of words. We argue that this theory is a good basis for cross-linguistically consistent annotation of typologically diverse languages in a way that supports computational natural language understanding as well as broader linguistic studies.
Abstract. In this paper, we describe the resumption of activities of Floresta Sintá(c)tica, a treebank for Portuguese. We present some underlying guidelines around the project and how they influence our linguistic choices. We then describe the new texts added to the treebank, proceed to mention the new syntactic information added to the old texts, and finally describe the new user-friendly search system and the plans for its expansion.
This paper presents a Constraint Grammarinspired machine learner and parser, Ling Pars, that assigns dependencies to morpho logically annotated treebanks in a functioncentred way. The system not only bases at tachment probabilities for PoS, case, mood, lemma on those features' function probabili ties, but also uses topological features like function/PoS n-grams, barrier tags and daughter-sequences. In the CoNLL shared task, performance was below average on at tachment scores, but a relatively higher score for function tags/deprels in isolation suggests that the system's strengths were not fully exploited in the current architecture.
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