Strategies of Effective Digitization of Commentaries and Sub-commentaries: Towards the Construction of Textual History
This paper describes additional aspects of a digital tool called the 'Textual History Tool'. We describe its various salient features with special reference to those of its features that may help the philologist digitize commentaries and sub-commentaries on a text. This tool captures the historical evolution of a text through various temporal stages, and interrelated data culled from various types of related texts. We use the text of the K\=a\'sik\=avrtti (KV) as a sample text, and with the help of philologists, we digitize the commentaries available to us. We digitize the Ny\=asa (Ny), the Padama\~njar\=i (Pm) and sub commentaries on the KV text known as the Tantraprad\=ipa (Tp), and the Makaranda (Mk). We divide each commentary and sub-commentary into functional units and describe the methodology and motivation behind the functional unit division. Our functional unit division helps generate more accurate phylogenetic trees for the text, based on distance methods using the data entered in the tool.
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
Teaching with Commentaries
Effective training of deep neural networks can be challenging, and there remain many open questions on how to best learn these models. Recently developed methods to improve neural network training examine teaching: provi…
Data AugmentationOptical Character Recognition of 19th Century Classical Commentaries: the Current State of Affairs
Together with critical editions and translations, commentaries are one of the main genres of publication in literary and textual scholarship, and have a century-long tradition. Yet, the exploitation of thousands of digit…
Optical Character RecognitionOptical Character Recognition (OCR)Generating Racing Game Commentary from Vision, Language, and Structured Data
We propose the task of automatically generating commentaries for races in a motor racing game, from vision, structured numerical, and textual data. Commentaries provide information to support spectators in understanding …
SMASH Corpus: A Spontaneous Speech Corpus Recording Third-person Audio Commentaries on Gameplay
Developing a spontaneous speech corpus would be beneficial for spoken language processing and understanding. We present a speech corpus named the SMASH corpus, which includes spontaneous speech of two Japanese male comme…
Commentary Generation from Data Records of Multiplayer Strategy Esports Game
Esports, a sports competition on video games, has become one of the most important sporting events. Although esports play logs have been accumulated, only a small portion of them accompany text commentaries for the audie…
Data-to-Text GenerationDecoderText Generation