analiticcl 0.4.8

Analiticcl is an approximate string matching or fuzzy-matching system that can be used to find variants for spelling correction or text normalisation

Analiticcl

Introduction

Analiticcl is an approximate string matching or fuzzy-matching system that can be used for spelling correction or text normalisation (such as post-OCR correction or post-HTR correction). Texts can be checked against a validated or corpus-derived lexicon (with or without frequency information) and spelling variants will be returned.

Please see the main README.md for a further introduction, it also links to a Python tutorial.

Analiticcl is written in Rust, this is the Python binding, allowing you to use analiticcl from Python as a module.

Installation

with pip

pip install analiticcl

from source

To use this method, you need to have Rust installed and in your $PATH. Install it through your package manager or through rustup:

curl https://sh.rustup.rs -sSf | sh -s -- -y
export PATH="$HOME/.cargo/bin:$PATH"

Once Rust is installed, you can compile the analiticcl binding:

# Create a virtual env (you can use yours as well)
python -m venv .env
source .env/bin/activate

# Install `analiticcl` in the current virtual env
pip install setuptools_rust
python setup.py install

Usage

from analiticcl import VariantModel, Weights, SearchParameters
import json

model = VariantModel("examples/simple.alphabet.tsv", Weights(), debug=False)
model.read_lexicon("examples/eng.aspell.lexicon")
model.build()
result = model.find_variants("udnerstand", SearchParameters(max_edit_distance=3))
print(json.dumps(result, ensure_ascii=False, indent=4))
print()
results = model.find_all_matches("I do not udnerstand the probleem", SearchParameters(max_edit_distance=3,max_ngram=1))
print(json.dumps(results, ensure_ascii=False, indent=4))

Note: all offsets reported by analiticcl are utf-8 byte-offsets, not character offsets! If you want proper unicode character offsets, pass the keyword argument unicodeoffset=True to SearchParameters. You will want to set this if you intend to do any kind of slicing in Python (which uses unicode points by default).

Output:

[
    {
        "text": "understand",
        "score": 0.8978494623655915,
        "lexicon": "../../../examples/eng.aspell.lexicon"
    },
    {
        "text": "understands",
        "score": 0.6725317693059629,
        "lexicon": "../../../examples/eng.aspell.lexicon"
    },
    {
        "text": "understood",
        "score": 0.6036866359447004,
        "lexicon": "../../../examples/eng.aspell.lexicon"
    },
    {
        "text": "understate",
        "score": 0.5967741935483871,
        "lexicon": "../../../examples/eng.aspell.lexicon"
    }
]

[
    {
        "input": "I",
        "offset": {
            "begin": 0,
            "end": 1
        },
        "variants": [
            {
                "text": "I",
                "score": 0.8387096774193549,
                "lexicon": "../../../examples/eng.aspell.lexicon"
            },
            {
                "text": "i",
                "score": 0.8064516129032258,
                "lexicon": "../../../examples/eng.aspell.lexicon"
            }
        ]
    },
    {
        "input": "do",
        "offset": {
            "begin": 2,
            "end": 4
        },
        "variants": [
            {
                "text": "do",
                "score": 1.0,
                "lexicon": "../../../examples/eng.aspell.lexicon"
            },
            {
                "text": "dog",
                "score": 0.6236559139784946,
                "lexicon": "../../../examples/eng.aspell.lexicon"
            },
            {
                "text": "doc",
                "score": 0.6236559139784946,
                "lexicon": "../../../examples/eng.aspell.lexicon"
            },
            {
                "text": "doz",
                "score": 0.6236559139784946,
                "lexicon": "../../../examples/eng.aspell.lexicon"
            },
            {
                "text": "dob",
                "score": 0.6236559139784946,
                "lexicon": "../../../examples/eng.aspell.lexicon"
            },
            {
                "text": "doe",
                "score": 0.6236559139784946,
                "lexicon": "../../../examples/eng.aspell.lexicon"
            },
            {
                "text": "dot",
                "score": 0.6236559139784946,
                "lexicon": "../../../examples/eng.aspell.lexicon"
            },
            {
                "text": "dos",
                "score": 0.6236559139784946,
                "lexicon": "../../../examples/eng.aspell.lexicon"
            },
            {
                "text": "ado",
                "score": 0.6236559139784946,
                "lexicon": "../../../examples/eng.aspell.lexicon"
            },
            {
                "text": "don",
                "score": 0.6236559139784946,
                "lexicon": "../../../examples/eng.aspell.lexicon"
            },
            {
                "text": "d",
                "score": 0.5967741935483871,
                "lexicon": "../../../examples/eng.aspell.lexicon"
            },
            {
                "text": "o",
                "score": 0.5967741935483871,
                "lexicon": "../../../examples/eng.aspell.lexicon"
            },
            {
                "text": "DOD",
                "score": 0.5913978494623655,
                "lexicon": "../../../examples/eng.aspell.lexicon"
            }
        ]
    },
    {
        "input": "not",
        "offset": {
            "begin": 5,
            "end": 8
        },
        "variants": [
            {
                "text": "not",
                "score": 1.0,
                "lexicon": "../../../examples/eng.aspell.lexicon"
            },
            {
                "text": "knot",
                "score": 0.6370967741935484,
                "lexicon": "../../../examples/eng.aspell.lexicon"
            },
            {
                "text": "note",
                "score": 0.6370967741935484,
                "lexicon": "../../../examples/eng.aspell.lexicon"
            },
            {
                "text": "snot",
                "score": 0.6370967741935484,
                "lexicon": "../../../examples/eng.aspell.lexicon"
            },
            {
                "text": "no",
                "score": 0.6236559139784946,
                "lexicon": "../../../examples/eng.aspell.lexicon"
            },
            {
                "text": "nowt",
                "score": 0.5967741935483871,
                "lexicon": "../../../examples/eng.aspell.lexicon"
            },
            {
                "text": "No",
                "score": 0.5913978494623655,
                "lexicon": "../../../examples/eng.aspell.lexicon"
            },
            {
                "text": "OT",
                "score": 0.5913978494623655,
                "lexicon": "../../../examples/eng.aspell.lexicon"
            },
            {
                "text": "pot",
                "score": 0.5698924731182795,
                "lexicon": "../../../examples/eng.aspell.lexicon"
            }
        ]
    },
    {
        "input": "udnerstand",
        "offset": {
            "begin": 9,
            "end": 19
        },
        "variants": [
            {
                "text": "understand",
                "score": 0.8978494623655915,
                "lexicon": "../../../examples/eng.aspell.lexicon"
            },
            {
                "text": "understands",
                "score": 0.6725317693059629,
                "lexicon": "../../../examples/eng.aspell.lexicon"
            },
            {
                "text": "understood",
                "score": 0.6036866359447004,
                "lexicon": "../../../examples/eng.aspell.lexicon"
            },
            {
                "text": "understate",
                "score": 0.5967741935483871,
                "lexicon": "../../../examples/eng.aspell.lexicon"
            }
        ]
    },
    {
        "input": "the",
        "offset": {
            "begin": 20,
            "end": 23
        },
        "variants": [
            {
                "text": "the",
                "score": 1.0,
                "lexicon": "../../../examples/eng.aspell.lexicon"
            },
            {
                "text": "thee",
                "score": 0.6908602150537635,
                "lexicon": "../../../examples/eng.aspell.lexicon"
            },
            {
                "text": "thew",
                "score": 0.6370967741935484,
                "lexicon": "../../../examples/eng.aspell.lexicon"
            },
            {
                "text": "then",
                "score": 0.6370967741935484,
                "lexicon": "../../../examples/eng.aspell.lexicon"
            },
            {
                "text": "them",
                "score": 0.6370967741935484,
                "lexicon": "../../../examples/eng.aspell.lexicon"
            },
            {
                "text": "they",
                "score": 0.6370967741935484,
                "lexicon": "../../../examples/eng.aspell.lexicon"
            },
            {
                "text": "he",
                "score": 0.6236559139784946,
                "lexicon": "../../../examples/eng.aspell.lexicon"
            },
            {
                "text": "Thea",
                "score": 0.6048387096774194,
                "lexicon": "../../../examples/eng.aspell.lexicon"
            },
            {
                "text": "Th",
                "score": 0.5913978494623655,
                "lexicon": "../../../examples/eng.aspell.lexicon"
            },
            {
                "text": "He",
                "score": 0.5913978494623655,
                "lexicon": "../../../examples/eng.aspell.lexicon"
            },
            {
                "text": "thy",
                "score": 0.5698924731182795,
                "lexicon": "../../../examples/eng.aspell.lexicon"
            },
            {
                "text": "she",
                "score": 0.5698924731182795,
                "lexicon": "../../../examples/eng.aspell.lexicon"
            },
            {
                "text": "tho",
                "score": 0.5698924731182795,
                "lexicon": "../../../examples/eng.aspell.lexicon"
            },
            {
                "text": "Thu",
                "score": 0.5376344086021505,
                "lexicon": "../../../examples/eng.aspell.lexicon"
            },
            {
                "text": "Che",
                "score": 0.5376344086021505,
                "lexicon": "../../../examples/eng.aspell.lexicon"
            },
            {
                "text": "THC",
                "score": 0.5376344086021505,
                "lexicon": "../../../examples/eng.aspell.lexicon"
            },
            {
                "text": "tee",
                "score": 0.5161290322580645,
                "lexicon": "../../../examples/eng.aspell.lexicon"
            },
            {
                "text": "toe",
                "score": 0.5161290322580645,
                "lexicon": "../../../examples/eng.aspell.lexicon"
            },
            {
                "text": "tie",
                "score": 0.5161290322580645,
                "lexicon": "../../../examples/eng.aspell.lexicon"
            },
            {
                "text": "Te",
                "score": 0.510752688172043,
                "lexicon": "../../../examples/eng.aspell.lexicon"
            }
        ]
    },
    {
        "input": "probleem",
        "offset": {
            "begin": 24,
            "end": 32
        },
        "variants": [
            {
                "text": "problem",
                "score": 0.9231950844854071,
                "lexicon": "../../../examples/eng.aspell.lexicon"
            },
            {
                "text": "problems",
                "score": 0.6908602150537635,
                "lexicon": "../../../examples/eng.aspell.lexicon"
            },
            {
                "text": "probe",
                "score": 0.5913978494623656,
                "lexicon": "../../../examples/eng.aspell.lexicon"
            },
            {
                "text": "proclaim",
                "score": 0.5766129032258065,
                "lexicon": "../../../examples/eng.aspell.lexicon"
            },
            {
                "text": "probated",
                "score": 0.543010752688172,
                "lexicon": "../../../examples/eng.aspell.lexicon"
            },
            {
                "text": "probates",
                "score": 0.543010752688172,
                "lexicon": "../../../examples/eng.aspell.lexicon"
            },
            {
                "text": "prole",
                "score": 0.5322580645161291,
                "lexicon": "../../../examples/eng.aspell.lexicon"
            },
            {
                "text": "prowlers",
                "score": 0.4959677419354839,
                "lexicon": "../../../examples/eng.aspell.lexicon"
            },
            {
                "text": "parolees",
                "score": 0.44220430107526887,
                "lexicon": "../../../examples/eng.aspell.lexicon"
            }
        ]
    }
]

Documentation

The python binding exposes only a minimal interface, you can use Python's help() function to get information on the classes provided. For more detailed information, please consult the Analiticcl's rust API documentation. The interfaces that are available in the binding are analogous to the rust versions.