A Thematic analysis of Khushwant Singh's Novel Train to pakistan
Partition, Mano Majra, Sacrifice, Violence, Harmony, Religion.
This research paper focuses on the thematic analysis of the historical novel titled “Train to Pakistan” written by Khushwant Singh. This novel vividly portrays the Partition of India through the lens of the border village, Mano Majra, where Sikhs, Hindus and Muslims initially lived in harmony. However, the novel takes a tragic turn due to the political events that occurred during the partition period. The paper explores several predominant themes, including partition, religious relationship and humanity amid chaos. These themes are analysed through the main characters of the novel: Juggat Singh (Jugga), Hukum Chand, Imam Baksh, Nooran and Bhai meet Singh. The study shows how these characters respond differently to the crisis, especially how Jugga’s sacrifice stands out as a symbol of hope and moral courage. Overall, the paper argues that “Train to Pakistan” is not just a historical novel, but also a powerful reflection of human values, religious tolerance, and the importance of individual choices during difficult times. In conclusion, this paper explores the microcosm of the small broader village Mano Majra, to highlight the larger emotional and moral impact of the Partition on everyday people and the transformation of the religious relationships.
"A Thematic analysis of Khushwant Singh's Novel Train to pakistan ", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.10, Issue 7, page no.b305-b313, July-2025, Available :https://ijsdr.org/papers/IJSDR2507137.pdf
Volume 10
Issue 7,
July-2025
Pages : b305-b313
Paper Reg. ID: IJSDR_304216
Published Paper Id: IJSDR2507137
Downloads: 000953
Research Area: Languages
Country: Chennai , Tamilnadu , India
DOI: https://doi.org/10.56975/ijsdr.v10i7.304216
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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