TAMGU (탐구): A FIL Language

TAMGU is a FIL programming language: Functional, Imperative and Logical.

TAMGU is a multithreaded programming language that provides:

• an imperative formalism close to Python, but with a strong and powerful type system.
• a functional formalism inspired by Haskell, which can freely mix with the imperative paradigm
• a logical formalism inspired by Prolog, which can freely mix with the imperative and functional paradigms

For each specific problem in your programming, choose the most appropriate formalism and freely mix functional, imperative and logical approaches to implement the most expressive but also the most compact code possible.

Annotation

TAMGU provides also an annotation language implementation (see below for an example), which allows for an efficient way to detect complex patterns in text.

The language provides many features but also many libraries, which helps design and implement annotation schemes for complex documents.

Code Example

Below is an example of the kind of code that you can implement with Tamgu.

//An imperative language

int i=10;
string s="20";
------------------------------------------------------------------------------------
//Containers

map m = {'a':1, 'b':2}; //all sorts of containers
treemap t = {"u":10, 'v':'toto'};
vector v = [1,2,3,"a","b"];
ivector iv = [1..10]; //iv = [1,2,3,4,5,6,7,8,9,10]
iv = [1,3..10]; //iv = [1,3,5,9]
------------------------------------------------------------------------------------
//Functions, threads and frames

function mycall(int i, string s) {...} //functions
thread mythread(int i, string s) {...} //threads
frame myclass {...} //class definition
------------------------------------------------------------------------------------
//Native Korean string support

s="에버랜드 알쏭달쏭 Quiz";
if (s[0].ishangul()) println("Ok");
uvector dec = s.jamo(); //['ᄋ','ᅦ','ᄇ','ᅥ','ᄅ','ᅢ','ᆫ','ᄃ','ᅳ'...]
dec = s.romanization(); //['-/ng','e','b','eo','r/l','ae','n','d',...]
------------------------------------------------------------------------------------
//Functional approach based on Haskell

ivector iv = [1..20]; //a list of integers between 1 and 20
iv.shuffle(); //The order of the elements is now random.

<fastsort([]) = []>;  //if the list is empty, we return an empty "list"
<fastsort([fv:v]) =  minlist &&& fv &&& maxlist where //we merge the different list...
    let minlist = fastsort(<filter (<=fv) v>), //we sort the list with elements smaller than fv
    let maxlist = fastsort(<filter (>fv) v>)>; //we sort the list with elements larger than fv

//we can call a functional definition as regular code
v=fastsort(iv); 

------------------------------------------------------------------------------------
//Predicates

concat([],?X,?X).
concat([?H|?T],?Y, [?H|?Z]) :- concat(?T,?Y,?Z).

//You can mix freely your predicate definition with some regular tamgu code
v=concat(["english",'russian',"french"],['spanish'],?L);
println(v); //["english",'russian',"french","spanish"]

Annotation Example

Tamgu also provides an integrated rule mechanism, which combines both lexicons and rules to detect complex patterns in texts.

//We define some lexical rules (starting with a "@")
@food <- burger.
@food <- tartare.


//Our rule: if "the food" word is found in a sentence, then we return a "meal" label 
meal <- "the", #food.

//We need a specific object to scan a sentence
annotator r;

//a sentence
string sentence="Here, the burger and the tartare are delicious.";
vector v = r.parse(sentence); 

//Result: v =  [['meal',[10,16]],['meal',[25,32]]]
//It reads: two 'meal' were found at position 10-16 and position 25-32...

Pre-compiled Releases

Note: Releases for Windows, Mac OS and Linux are available at: https://github.com/naver/tamgu/releases

Documentation

The documentation is in : tamgu.pdf

Examples

Examples are available both as a folder: https://github.com/naver/tamgu/tree/master/examples or as an archive in: https://github.com/naver/tamgu/releases/tag/tamgu.examples.

Compiling

The TAMGU project has been implemented in C++. It can be compiled on most platforms:

• Windows: see https://github.com/naver/tamgu/wiki/1.1-Compiling-on-Windows
• Mac OS: see https://github.com/naver/tamgu/wiki/1.2-Compiling-on-Mac-OS
• Linux: see https://github.com/naver/tamgu/wiki/1.3-Compiling-on-Linux

Libraries

Tamgu also provides different libraries:

Compiling libraries: https://github.com/naver/tamgu/wiki/1.4-Compiling-libraries-(Linux-&-Mac-OS)

Windows requirements for: libsound and libwapti

These two libraries need the following DLL on Windows, which you can obtained from: http://www.mingw.org

libgcc_s_sjlj-1.dll
libltdl-7.dll
libstdc++-6.dll
libwinpthread-1.dll

Python

Furthermore, Tamgu provides a bi-directional library, which can be used to execute Tamgu code from Python (and conversely, Python code in Tamgu)

See: https://github.com/naver/tamgu/wiki/1.5-Compiling-Python for more information

License

BSD 3-Clause License

Copyright (c) 2019-present NAVER Corp.
All rights reserved.

Redistribution and use in source and binary forms, with or without 
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