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Which features need to be present in a programming language such that it can express any sequential computation which a computer can excute today? And what if the language is Haskell in specific
Haskell is Turing complete.
My current beliefs have high weight on the outcome that any sound and complete description of "feature sets that guarantee Turing completeness" is either infinite or includes a non-terminating algorithm; so I believe it is not reasonable to expect an answer to your other question.
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Which one among the following NLP topics will be easier to work with?
Question answering
Paraphrase detection
Short text conversation
Author identification
The final one, Author identification. You don't need to have any understanding of the language you are dealing with, which the first three presuppose.
There is already a lot of literature on the topic; generally you identify features in texts, and map these onto a set of authors' known features. This can easily be done with cluster analysis or Machine Learning. So, it's not actually as NLP-heavy as the others.
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On the wikipedia page only Haskell and Miranda are mentioned.
I am not sure about elm.
Some other languages make it especially easy to declare a function to be computed lazily.
Are there programming languages where you have a global switch, say for a module or script file to be evaluated lazily?
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No other game impressed me more than ADOM because of its almost endless ways you can interact with its world. To name a few: If you have waterproof blankets your items will not rust in rain, you can cut trees to build a bridge, dip weapons into potions, kick locked doors etc.
With such complexity of interactions each new feature may require refactoring, recompilation, then cause broken tests, bugs etc. This seems to be an interesting case of the Expression Problem.
The Question:
Can solution to Expression Problem be expressed in Agda or Haskell as a reusable library or a design pattern?
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I'm learning Haskell in order to gain knowledge of Functional programming to apply to Java 8. Is Haskell a marketable skill?
Haskell is used "in the real world," but in terms of "Am I likely to get a job using this?" it's on the very low end. Almost any other language you can likely name has more jobs that require it.
But in terms of learning, Haskell is a great language. It really helps you think about your programs differently. And having a good mind for application architecture is a very marketable skill.
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I am wondering how you would code an image vectorization program, al la vectormagic.com? Where would you even begin and would it be possible to create in any web based programming languages?
Behind vectorization programs are complex algorithms (for basic outline look on quite nice paper depixelizing pixel art by guys at Microsoft).
Anyway, it's possible to write almost in any language, that can process images, but those complex algorithms are pretty system resources expensive. So web based languages are quite inappropriate for that type of task.