Parallells, a website to compare texts side by side

BuddhaNexus is a text-matching database with visualization capabilities that draws its data from Buddhist literary corpora in Pāli, Sanskrit, Tibetan, and Chinese. It allows users to conduct intralingual searches (e.g. searching among texts in Chinese only) of individual volumes for textual matches across the collection in question. Additionally, users are also able to produce Sankey visualizations of connections within different collections in the same language, which offers an intertextual view across collections, sections within collections, and within single texts.

An academic website of Michael Stanley-Baker focused on Buddhist and Daoist medical sources in China.

數位人文學術研究平台 Online tool which enables construction of full-text database of primary sources, post-search classification, mapping of text content.

MARKUS - is a reading and text analysis platform with a wide range of functionality Markus was selected as a runner up in the category Best Tool or Suite of TOOLS in the DH2016 awards

The Ten Thousand Rooms Project (廣廈千萬間項目) is a collaborative workspace for pre-modern textual studies being developed at Yale University with the support of the Andrew W. Mellon Foundation.

The Digital Analysis System for Humanities develops digital tools to meet the demands of humanities research, assisting scholars in upgrading the quality of their research. We hope to integrate researchers, research data, and research tools to broaden the scope of research and cut down research time. The Platform provides a comprehensive research environment with cloud computing services, offering all the data and tools scholars require. Researchers can upload texts and authority files, or use others’ open texts and authority files available on the platform. Authority terms possess both manual and automatic text tagging functions, and can be hierarchically categorized. Once text tagging is complete, you can calculate authority term and N-gram statistics, or conduct term co-occurrence analysis, and then present results through data visualization methods such as statistical charts, word clouds, social analysis graphs, and maps. Furthermore, the platform provides functionality for similar-passage comparison, Boolean search, word proximity search, and statistical filtering, enabling researchers to easily carry out textual analysis.

In 2018, the East Asian Library of the University of Pittsburgh Library System (ULS) proposed the Contemporary Chinese Village Gazetteer Data (CCVG Data) project, with the goal of creating an open dataset consisting of data selected from the ULS collection of Chinese village gazetteers. Village gazetteers record statistical data on individual villages, covering the years from 1949 to the present showing the history and development of Chinese villages (the village is the most basic administrative unit in China). The CCVG Data project, the first of its kind, offers scholars a dataset based on the ULS East Asian Library’s growing collection of Chinese village gazetteers, which currently numbers over 2,700. Since the project aims to represent as much of China as possible, gazetteers were chosen for inclusion based on the goal of representing each of China’s provinces, if possible. Within each province, gazetteers are chosen for inclusion at random. It should be noted that the availability of village gazetteers varies by province. To create the CCVG dataset, gazetteers were selected from the collection, demographic and economic data was collected from these volumes, and this data was extracted using a data entry platform designed by the ULS. The resulting dataset is published on this website for free download by scholars around the world. The current dataset covers 1,200 villages and was uploaded in May 2021. The project will continue extracting data from more gazetteers as time and resources allow with the goal of eventually reaching 2,500–3,000 village gazetteers. The dataset containing information on 1,200 villages is available for download in .csv format. An interactive map with basic administrative information on each collected village is also included in the website. A database with tools of filtering, cross-searching, and visualizations is currently under design.