On 07/23/2012 07:38 AM, Peter von Kaehne wrote:
On 21/07/12 03:37, Kunio Nakamaru wrote:
So far I found this language seems to be good at making things
"semantic" or "AI", like LISP in a way. I am wondering if this feature
can be well applied to the Bible study.
One of the places where "AI" would be helpful is creation of intelligent
linking/marking up.
There are databases for e.g. Bible names and places, but mostly in English.
There are also Strong encoded Bibles - again mostly in English.
For the last few years I have been working on/off on the creation of
tools to create study bible modules in arbitrary languages - not just
English.
Kunio,
Does this happen to be the Functional Programming course from Coursera?
(https://www.coursera.org/course/progfun) I signed up for that when they
announced it, though mostly to learn Scala, since I'm already
comfortable with functional programming.
I would say that the core tasks that people think of as AI and that are
taught in introductory courses, like planning/search, adversarial
search, machine learning, CSPs, perception, and robotics, are not
particularly useful to anything we do here. However, there are many
useful applications of natural language processing (NLP) to our work.
(Coursera also has a course on that topic, but it's quite challenging:
https://www.coursera.org/course/nlp)
What Peter's talking about could employ a number of NLP topics, such as
named entity recognition (NER), alignment, edit distances, and even
machine translation. I also recently posted a commentary module that
shows the value of each verse according to a sentiment analysis
algorithm (based on OpenBible.info's data).
So there are many useful applications of NLP to Bibles. The only
question is what interests you.
--Chris
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