detalle del documento
IDENTIFICACIÓN
oai:arXiv.org:2408.06675
Tema
Computer Science - Computation and...Autor
Hudspeth, Marisa O'Connor, Brendan Thompson, LaureCategoría
Computer Science
Año
2024
fecha de cotización
21/8/2024
Palabras clave
treebanksResumen
Existing Latin treebanks draw from Latin's long written tradition, spanning 17 centuries and a variety of cultures.
Recent efforts have begun to harmonize these treebanks' annotations to better train and evaluate morphological taggers.
However, the heterogeneity of these treebanks must be carefully considered to build effective and reliable data.
In this work, we review existing Latin treebanks to identify the texts they draw from, identify their overlap, and document their coverage across time and genre.
We additionally design automated conversions of their morphological feature annotations into the conventions of standard Latin grammar.
From this, we build new time-period data splits that draw from the existing treebanks which we use to perform a broad cross-time analysis for POS and morphological feature tagging.
We find that BERT-based taggers outperform existing taggers while also being more robust to cross-domain shifts.
Hudspeth, Marisa,O'Connor, Brendan,Thompson, Laure, 2024, Latin Treebanks in Review: An Evaluation of Morphological Tagging Across Time
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