Tibetan Verbs Database - TVD

A lexical database containing Tibetan verbs in their present, past, future, and imperative forms, compiled from multiple linguistic reference sources to support Tibetan language research and natural language processing

About Dataset

The Tibetan Verbs Database (TVD) is a structured lexical resource that documents Tibetan verbs in their four grammatical forms: present, past, future, and imperative. The database compiles verb paradigms from multiple authoritative Tibetan lexical and grammatical references while preserving the original forms reported by each source rather than enforcing a single standardized representation. Each verb entry includes references indicating the source dictionaries in which the forms appear, enabling researchers to compare variations across linguistic resources. By providing an openly accessible collection of Tibetan verb paradigms, the dataset contributes to the preservation and computational study of Tibetan linguistic resources. This dataset was identified and facilitated for onboarding as part of the Dataset Onboarding Support Team (DOST) initiative led by CivicDataLab (CDL), partnering with the Gates Foundation in collaboration with BHASHINI. CivicDataLab provided support for dataset discovery, metadata preparation and onboarding facilitation. All dataset ownership and intellectual property rights remain with the original author(s).

Purpose of Dataset

The Purpose Of This Dataset Is To Provide A Structured Lexical Resource Of Tibetan Verb Paradigms For Linguistic Research And Language Technology Development. It Can Be Used For Morphological Analysis, Lemmatization, Grammar Checking, Lexicon Construction, Machine Translation, Computational Linguistics, Language Learning, And Natural Language Processing Applications Involving Tibetan.

Dataset Metadata

License

CC0 1.0 Public Domain

Geographical coverage

World

Sector

Science, Technology and Research

Author

Tibetan-NLP

Source Organisation

Digital India BHASHINI Division

Uploaded by

Nikil Augustine

Data Quality Score (Beta)

Dataset type

Structured

Frequency

Static

Time Granularity

Static

Year range

N.A.

Date & Time

07/07/26 12:03:10

Visibility

Open

Hosted / Redirected

Redirected

Data Type

Secondary

If Redirection which source

Github

Data Collection Method

The Dataset Was Prepared By Compiling Tibetan Verb Forms From Multiple Published Lexical And Grammatical Reference Sources. Each Verb Was Recorded In Its Present, Past, Future, And Imperative Forms, While Preserving The Original Forms Reported By Each Source Without Resolving Differences Between Grammatical Traditions. Every Entry Is Tagged With Its Corresponding Source References (Such As Tdc, Gt, Ph, And Kn), Allowing Users To Trace The Origin Of Individual Verb Forms And Compare Variations Across Reference Works. The Resulting Data Was Organized Into A Structured Csv Database For Computational Use And Linguistic Analysis.