c7cb07f092
GitOrigin-RevId: 1536926ef5621b09bba54035ae2bb6d806d72ac8
50 lines
1.7 KiB
Nix
50 lines
1.7 KiB
Nix
{ lib
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, stdenv
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, fetchFromGitHub
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, cmake
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, fetchpatch
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}:
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stdenv.mkDerivation {
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pname = "cld2";
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version = "unstable-2015-08-21";
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src = fetchFromGitHub {
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owner = "CLD2Owners";
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repo = "cld2";
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rev = "b56fa78a2fe44ac2851bae5bf4f4693a0644da7b";
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hash = "sha256-YhXs45IbriKWKULguZM4DgfV/Fzr73VHxA1pFTXCyv8=";
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};
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patches = [
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(fetchpatch {
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name = "add-cmakelists.txt";
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url = "https://github.com/CLD2Owners/cld2/pull/65/commits/9cfac02c2ac7802ab7079560b38a474473c45f51.patch";
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hash = "sha256-uOjmUk8kMFl+wED44ErXoLRyblhgDwFx9K1Wj65Omh8=";
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})
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];
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nativeBuildInputs = [ cmake ];
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meta = with lib; {
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homepage = "https://github.com/CLD2Owners/cld2";
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description = "Compact Language Detector 2";
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longDescription = ''
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CLD2 probabilistically detects over 80 languages in Unicode UTF-8 text,
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either plain text or HTML/XML. Legacy encodings must be converted to valid
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UTF-8 by the caller. For mixed-language input, CLD2 returns the top three
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languages found and their approximate percentages of the total text bytes
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(e.g. 80% English and 20% French out of 1000 bytes of text means about 800
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bytes of English and 200 bytes of French). Optionally, it also returns a
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vector of text spans with the language of each identified. This may be
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useful for applying different spelling-correction dictionaries or
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different machine translation requests to each span. The design target is
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web pages of at least 200 characters (about two sentences); CLD2 is not
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designed to do well on very short text, lists of proper names, part
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numbers, etc.
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'';
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license = licenses.asl20;
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maintainers = with maintainers; [ chvp ];
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platforms = platforms.all;
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};
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}
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