LombardoGraphia: Automatic Classification of Lombard Orthography Variants
Edoardo Signoroni, Pavel Rychl\'y
https://arxiv.org/abs/2603.28418 https://arxiv.org/pdf/2603.28418 https://arxiv.org/html/2603.28418
arXiv:2603.28418v1 Announce Type: new
Abstract: Lombard, an underresourced language variety spoken by approximately 3.8 million people in Northern Italy and Southern Switzerland, lacks a unified orthographic standard. Multiple orthographic systems exist, creating challenges for NLP resource development and model training. This paper presents the first study of automatic Lombard orthography classification and LombardoGraphia, a curated corpus of 11,186 Lombard Wikipedia samples tagged across 9 orthographic variants, and models for automatic orthography classification. We curate the dataset, processing and filtering raw Wikipedia content to ensure text suitable for orthographic analysis. We train 24 traditional and neural classification models with various features and encoding levels. Our best models achieve 96.06% and 85.78% overall and average class accuracy, though performance on minority classes remains challenging due to data imbalance. Our work provides crucial infrastructure for building variety-aware NLP resources for Lombard.
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A network of social interactions among university students within the Copenhagen Networks Study, over a period of four weeks, sampled every 5 minutes. Interactions include physical proximity (undirected), phone calls (directed, weighted), text messages (directed), and information about Facebook friendships (undirected). Nodes include some metadata, including gender.
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copenhagen: Copenhagen Networks Study
A network of social interactions among university students within the Copenhagen Networks Study, over a period of four weeks, sampled every 5 minutes. Interactions include physical proximity (undirected), phone calls (directed, weighted), text messages (directed), and information about Facebook friendships (undirected). Nodes include some metadata, including gender.
This network has 568 nodes and 24333 edges.
Tags: Social, Offline, Unwe…
copenhagen: Copenhagen Networks Study
A network of social interactions among university students within the Copenhagen Networks Study, over a period of four weeks, sampled every 5 minutes. Interactions include physical proximity (undirected), phone calls (directed, weighted), text messages (directed), and information about Facebook friendships (undirected). Nodes include some metadata, including gender.
This network has 568 nodes and 24333 edges.
Tags: Social, Offline, Unwe…