TabuLM: Morphology-Aware Tabular Pre-training for Low-Resource Languages

arXiv:2608.26923 · cs.CL · Submitted 2026-08-27 · Read on arXiv

cs.CL

Submitted: 2026-08-27

Updated: 2026-08-27

Code: https://github.com/TabuLM-Research/tabulm

Terminology

• Aggregation — 33× in this paper · explained in 1 episode
• Transformer — 25× in this paper · explained in 2 episodes
• Embeddings — 24× in this paper · explained in 2 episodes
• Fine-Tuning — 23× in this paper · explained in 5 episodes
• Benchmark — 18× in this paper · explained in 2 episodes
• Ablation — 10× in this paper · explained in 1 episode
• Tokenization — 7× in this paper · explained in 2 episodes
• Column Type Prediction — 6× in this paper
• Masked Cell Recovery — 6× in this paper
• Alignment — 4× in this paper · explained in 1 episode
• Analyzer — 4× in this paper · explained in 1 episode
• Adaptation — 3× in this paper · explained in 1 episode
• Low-Resource Languages — 3× in this paper · explained in 4 episodes
• Ablation study — 2× in this paper · explained in 1 episode
• Core — 2× in this paper · explained in 2 episodes
• Exact Match — 2× in this paper
• Foundation Model — 2× in this paper · explained in 3 episodes
• Masked Stem Prediction — 2× in this paper
• Accuracy — 1× in this paper · explained in 1 episode
• Affix Distribution Prediction — 1× in this paper
• Affix Set Prediction — 1× in this paper
• Calibration — 1× in this paper · explained in 7 episodes
• Catastrophic Forgetting — 1× in this paper · explained in 5 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Domain Adaptation — 1× in this paper · explained in 5 episodes
• Failure Modes — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Generalizability — 1× in this paper · explained in 6 episodes
• Positional Bias — 1× in this paper · explained in 2 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes
• Structured Reasoning — 1× in this paper · explained in 3 episodes
• Transfer Learning — 1× in this paper · explained in 10 episodes
• Transformer Architecture — 1× in this paper · explained in 2 episodes
• Verification — 1× in this paper · explained in 2 episodes

Sources

• Unsupervised Cross-lingual Representation Learning at Scale
• TURL: Table Understanding through Representation Learning
• BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
• TaTa: A Multilingual Table-to-Text Dataset for African Languages
• TABBIE: Pretrained Representations of Tabular Data
• Rethinking Positional Encoding in Language Pre-training
• Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
• M3TQA: Massively Multilingual Multitask Table Question Answering
• TaBERT: Pretraining for Joint Understanding of Textual and Tabular Data

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