This paper studies how language technologies and digital humanities can work together, especially for languages with few digital resources. Many computational tools help humanities research, but they mainly work for major languages like English. This creates problems for smaller language communities who cannot use these digital tools. We examine the main challenges: lack of digital texts, limited technology infrastructure, and biased computer systems. The paper suggests solutions like transfer learning (using knowledge from major languages), community participation in projects, and collaborative annotation methods. We propose better practices for digital humanities that respect local cultures and build local skills. Our findings show that helping with low-resource languages needs both better technology and changes in how researchers work with communities. This research helps make digital humanities fairer and gives practical advice for working with underrepresented languages and cultures.