mlsanityData to 7 Oct 2026

Empowering Bengali Education with AI: Solving Bengali Math Word Problems through Transformer Models

arXiv 2501.02599 ↗First posted 5 Jan 2025cs.CL cs.AI cs.CYcited by 3

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Abstract (arXiv)

Mathematical word problems (MWPs) involve the task of converting textual descriptions into mathematical equations. This poses a significant challenge in natural language processing, particularly for low-resource languages such as Bengali. This paper addresses this challenge by developing an innovative approach to solving Bengali MWPs using transformer-based models, including Basic Transformer, mT5, BanglaT5, and mBART50. To support this effort, the "PatiGonit" dataset was introduced, containing 10,000 Bengali math problems, and these models were fine-tuned to translate the word problems into equations accurately. The evaluation revealed that the mT5 model achieved the highest accuracy of 97.30%, demonstrating the effectiveness of transformer models in this domain. This research marks a significant step forward in Bengali natural language processing, offering valuable methodologies and resources for educational AI tools. By improving math education, it also supports the development of advanced problem-solving skills for Bengali-speaking students.

Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 13 of its 19 references that are in the map. First posted on arXiv 5 Jan 2025.

Builds on

13 of 19 references.

References · 13

  1. 2017Attention Is All You Needcited by 59,932
  2. 2020mT5: A massively multilingual pre-trained text-to-text transformercited by 1,813
  3. 2021Are NLP Models really able to Solve Simple Math Word Problems?cited by 861
  4. 2024Improve Mathematical Reasoning in Language Models by Automated Process Supervisioncited by 426
  5. 2020Multilingual Translation with Extensible Multilingual Pretraining and Finetuningcited by 287
  6. 2021BanglaBERT: Language Model Pretraining and Benchmarks for Low-Resource Language Understanding Evaluation in Banglacited by 123
  7. 2018Translating a Math Word Problem to an Expression Treecited by 57
  8. 2018Semantically-Aligned Equation Generation for Solving and Reasoning Math Word Problemscited by 49
  9. 2022BanglaNLG and BanglaT5: Benchmarks and Resources for Evaluating Low-Resource Natural Language Generation in Banglacited by 40
  10. 2016Variational Neural Machine Translationcited by 35
  11. 2020Semantically-Aligned Universal Tree-Structured Solver for Math Word Problemscited by 35
  12. 2021MWP-BERT: Numeracy-Augmented Pre-training for Math Word Problem Solvingcited by 32
1 more
  1. 2023Math Word Problem Solving by Generating Linguistic Variants of Problem Statementscited by 7

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 1; 2026: 2.

3 papers.

  1. 2025Structured Reasoning with Tree-of-Thoughts for Bengali Math Word Problemscited by 1
  2. 2026Artificial Intelligence for Mathematical Reasoning: An Integrated Survey of Language Models, Neuro-symbolic Systems, and Verified Discoverycited by 1
  3. 2026PatiGonit22K: A Comprehensive Dataset for Solving Complex Bengali MWPscited by 0