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A symbolic Perl algorithm for the unification of Nahuatl word spellings

arXiv 2511.19118 ↗First posted 24 Nov 2025cs.CLcited by 0

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Abstract (arXiv)

In this paper, we describe a symbolic model for the automatic orthographic unification of Nawatl text documents. Our model is based on algorithms that we have previously used to analyze sentences in Nawatl, and on the corpus called π-yalli, consisting of texts in several Nawatl orthographies. Our automatic unification algorithm implements linguistic rules in symbolic regular expressions. We also present a manual evaluation protocol that we have proposed and implemented to assess the quality of the unified sentences generated by our algorithm, by testing in a sentence semantic task. We have obtained encouraging results from the evaluators for most of the desired features of our artificially unified sentences

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References · 15

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  2. 2019BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehensioncited by 5,893
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  9. 2023Can Large Language Models Be an Alternative to Human Evaluations?cited by 734
  10. 2023Large Language Models in Finance: A Surveycited by 226
  11. 2020Extractive Summarization as Text Matchingcited by 189
  12. 2022ECTSum: A New Benchmark Dataset For Bullet Point Summarization of Long Earnings Call Transcriptscited by 59
3 more
  1. 2020What Do Position Embeddings Learn? An Empirical Study of Pre-Trained Language Model Positional Encodingcited by 52
  2. 2021Trade the Event: Corporate Events Detection for News-Based Event-Driven Tradingcited by 39
  3. 2024L3iTC at the FinLLM Challenge Task: Quantization for Financial Text Classification & Summarizationcited by 4

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