Buddhist texts

Dear colleagues,

Dear Scholars:

Dear all,

I would like to draw your kind attention to the below table of contents for Vol. XVIII of Journal of Buddhist Studies edited by my teacher Venerable Professor KL Dhammajoti. Thank you! 

Best Wishes

Jnan Nanda

Journal of Buddhist Studies Vol. XVIII, 2021

EDITOR 
Bhikkhu KL Dhammajoti 法光
Director & Professor, 
The Buddha-Dharma Centre of Hong Kong.

Dear all,

does any know of a Wylie searchable edition of the Lamrim Chenmo? If so, please let me know, it would be extremely helpful. Doubtless others would be interested, so post this online if possible, or else email me (msweet@ncf.edu).

Thanks much in advance,

Michael Sweet

Dear All, 

I would like to draw your kind attention to the following lecture, which is the 2nd lecture of the Theravada Studies Lecture Series organised by the International Association for Theravada Studies. 

"On Some Stylistic Features in the Suttapiṭaka" by Dr. Giuliano Giustarini

Abstract:

Dear Colleagues

I do not wish to enter the discussions about machine translation in a wider perspective, other than to offer a small note about what is essentially a technical issue, though it could have somewhat wider applicability as well.

In his interesting compilation, Stephan Peter Bumbacher offered the following example:

[...]牟子理惑云。
P: Meou-tseu ou les doutes levés.
K: How Master Mou Removes our Doubts.
Z: [Discourse on] the Elucidation of Delusions.
DL: [...]The cloud of Muzi's principle of delusion.

Dear Meghan,

>> I also have a technical question for the Linguae Dharmae team. Why was the CBETA data supplied to DeepL by SuttaCentral? Maybe I
>> have misunderstood your description of events, but why didn’t the data come directly from CBETA?

Dear Dr. Bingenheimer,

Dear all,

I may add a few notes to the current discussion on AI machine translation of Buddhist texts.

Deep Learning is the most rapidly evolving area of computer science, and Natural Language Understanding (NLU) and Machine Translation (MT) are the most rapidly evolving areas within Deep Learning. Marcus Bingenheimer has always been at the forefront of applying computer technology to Buddhist studies, and I believe he has earned his right to speculate on the future. Among researchers familiar with both NLU research and languages of the Buddhist canons, Sebastian Nehrdich stands at the top.