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Found 26 papers, 1 papers with code
Subjecthood and annotation: The cases of French and Wolof
This article considers the annotation of subjects in UD treebanks.
Sparse Logistic Regression with High-order Features for Automatic Grammar Rule Extraction from Treebanks
More specifically, we extract descriptions and rules across different languages for two linguistic phenomena, agreement and word order, using a large search space and paying special attention to the ranking order of the extracted rules.
SUD or Surface-Syntactic Universal Dependencies: An annotation scheme near-isomorphic to UD
This article proposes a surface-syntactic annotation scheme called SUD that is near-isomorphic to the Universal Dependencies (UD) annotation scheme while following distributional criteria for defining the dependency tree structure and the naming of the syntactic functions.
Encoding a syntactic dictionary into a super granular unification grammar
We show how to turn a large-scale syntactic dictionary into a dependency-based unification grammar where each piece of lexical information calls a separate rule, yielding a super granular grammar.
Rhapsodie: a Prosodic-Syntactic Treebank for Spoken French
The main objective of the Rhapsodie project (ANR Rhapsodie 07 Corp-030-01) was to define rich, explicit, and reproducible schemes for the annotation of prosody and syntax in different genres ({\^A}{\mbox{$\pm$}} spontaneous, {\^A}{\mbox{$\pm$}} planned, face-to-face interviews vs. broadcast, etc.
Correcting and Validating Syntactic Dependency in the Spoken French Treebank Rhapsodie
The micro-syntactic annotation process, presented in this paper, includes a semi-automatic preparation of the transcription, the application of a syntactic dependency parser, transcoding of the parsing results to the Rhapsodie annotation scheme, manual correction by multiple annotators followed by a validation process, and finally the application of coherence rules that check common errors.
Macrosyntactic Segmenters of a French Spoken Corpus
The aim of this paper is to describe an automated process to segment spoken French transcribed data into macrosyntactic units.
