LaTeX to CAS translator

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This mockup demonstrates the concept of TeX to Computer Algebra System (CAS) conversion.

The demo-application converts LaTeX functions which directly translate to CAS counterparts.

Functions without explicit CAS support are available for translation via a DRMF package (under development).

The following LaTeX input ...

{\displaystyle a=(\alpha+\beta)/2,b=a+N,c=(\beta-\alpha)/2}

... is translated to the CAS output ...

Semantic latex: a=(\alpha+\beta)/2,b=a+N,c=(\beta-\alpha)/2

Confidence: 0

Mathematica

Translation: a == (\[Alpha]+ \[Beta])/2 b == a + N , c == (\[Beta]- \[Alpha])/2

Information

Sub Equations

  • (\[Alpha]+ \[Beta])/2
b = a + N , c

Free variables

  • N
  • \[Alpha]
  • \[Beta]
  • a
  • b
  • c

Symbol info

  • Could be the second Feigenbaum constant.

But this system doesn't know how to translate it as a constant. It was translated as a general letter.

Tests

Symbolic
Numeric

SymPy

Translation: a == (Symbol('alpha')+ Symbol('beta'))/2 b == a + N , c == (Symbol('beta')- Symbol('alpha'))/2

Information

Sub Equations

  • (Symbol('alpha')+ Symbol('beta'))/2
b = a + N , c

Free variables

  • N
  • Symbol('alpha')
  • Symbol('beta')
  • a
  • b
  • c

Symbol info

  • Could be the second Feigenbaum constant.

But this system doesn't know how to translate it as a constant. It was translated as a general letter.

Tests

Symbolic
Numeric

Maple

Translation: a = (alpha + beta)/2; b = a + N , c = (beta - alpha)/2

Information

Sub Equations

  • (alpha + beta)/2; b = a + N , c

Free variables

  • N
  • a
  • alpha
  • b
  • beta
  • c

Symbol info

  • Could be the second Feigenbaum constant.

But this system doesn't know how to translate it as a constant. It was translated as a general letter.

Tests

Symbolic
Numeric

Dependency Graph Information

Description

  • parameter
  • Hahn polynomial
  • uniform lattice

Complete translation information:

{
  "id" : "FORMULA_90664c35d0bb6c435a0d1c4555d38bed",
  "formula" : "a=(\\alpha+\\beta)/2,b=a+N,c=(\\beta-\\alpha)/2",
  "semanticFormula" : "a=(\\alpha+\\beta)/2,b=a+N,c=(\\beta-\\alpha)/2",
  "confidence" : 0.0,
  "translations" : {
    "Mathematica" : {
      "translation" : "a == (\\[Alpha]+ \\[Beta])/2\n b == a + N , c == (\\[Beta]- \\[Alpha])/2",
      "translationInformation" : {
        "subEquations" : [ "(\\[Alpha]+ \\[Beta])/2\n b = a + N , c" ],
        "freeVariables" : [ "N", "\\[Alpha]", "\\[Beta]", "a", "b", "c" ],
        "tokenTranslations" : {
          "\\alpha" : "Could be the second Feigenbaum constant.\nBut this system doesn't know how to translate it as a constant. It was translated as a general letter.\n"
        }
      }
    },
    "SymPy" : {
      "translation" : "a == (Symbol('alpha')+ Symbol('beta'))/2\n b == a + N , c == (Symbol('beta')- Symbol('alpha'))/2",
      "translationInformation" : {
        "subEquations" : [ "(Symbol('alpha')+ Symbol('beta'))/2\n b = a + N , c" ],
        "freeVariables" : [ "N", "Symbol('alpha')", "Symbol('beta')", "a", "b", "c" ],
        "tokenTranslations" : {
          "\\alpha" : "Could be the second Feigenbaum constant.\nBut this system doesn't know how to translate it as a constant. It was translated as a general letter.\n"
        }
      }
    },
    "Maple" : {
      "translation" : "a = (alpha + beta)/2; b = a + N , c = (beta - alpha)/2",
      "translationInformation" : {
        "subEquations" : [ "(alpha + beta)/2; b = a + N , c" ],
        "freeVariables" : [ "N", "a", "alpha", "b", "beta", "c" ],
        "tokenTranslations" : {
          "\\alpha" : "Could be the second Feigenbaum constant.\nBut this system doesn't know how to translate it as a constant. It was translated as a general letter.\n"
        }
      }
    }
  },
  "positions" : [ {
    "section" : 3,
    "sentence" : 0,
    "word" : 21
  } ],
  "includes" : [ ],
  "isPartOf" : [ ],
  "definiens" : [ {
    "definition" : "parameter",
    "score" : 0.6859086196238077
  }, {
    "definition" : "Hahn polynomial",
    "score" : 0.6460746792928004
  }, {
    "definition" : "uniform lattice",
    "score" : 0.6460746792928004
  } ]
}

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