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Is there a python library for transliterating Hindi to English?
e.g. "खाया" should be converted to "khaya"
The less crappy transcoder I know of is sanscript. It is intended to transliterate Sanskrit text, but is of course also suited for Hindi, as they both use the Nagari notation. There are some issues in the code, and it does not do any validation of the input, but it has a large choice of scripts (not only Nagari).
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I'm not sure on the specifics but I know C/C++ code is optimized by the compiler.
Curious if/how Python is optimized during interpretation.
Also appreciated is any good source on how these and other languages are optimized e.g. Rust, Scala, and JS.
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How can I add extended operators(below). Generally speaking how can I implement such an operator (for example only one).
X+=Y
X-=Y
X*=Y
X\=Y
X%=Y
X&=Y
X**=Y
X=Y
X—=Y
X//=Y
X<<=Y
X<<=Y
By implementing, for example, __iadd__. See "Emulating numeric types" in the language reference.
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Sorry guys if this seems like a really basic question. I understand how to build applications using a programming language. Now, I read that tensorflow is written partly in C/C++ and Python. I'm wondering why this is done and how you can get multiple languages to interface with each other.
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I've done a little predictive program with Python and I would like to transform it in an application for smartphones. Can I accomplish it with Python itself, or should I use another language? If yes, what APIs would you recommend for that?
Thanks
You might be able to do this with Kivy.
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what is this class's return type? What are its public methods and its general application?
Where I can read on it?
Couldn't find it at http://www.nltk.org/ docs at all!
While other classes, like PunktSentenceTokenizer, are present.
In abstract, it is a sentence tokenizer(grouping in sentence, or words), depending on unsupervised machine learning.As I start to learn more about NLP, I found this website is helpful.
https://pythonprogramming.net/part-of-speech-tagging-nltk-tutorial/
In a python console exec:
import nltk
help(nltk)
help(nltk.PunktSentenceTokenizer)