lucytok 0.1.10

No project description provided

Lucytok

Lucene's boring English tokenizers recreated for Python. Compatible with SearchArray.

Lets you configure a handful of normal tokenization rules like ascii folding, posessive removal, both types of porter stemming, English stopwords, etc.

Usage

Creating a tokenizer close to Elasticsearch's default english analyzer

from lucytok import english
es_english = english("Nsp->NNN->l->sNNN->1")
tokenized = es_english("The quick brown fox jumps over the lazy døg")
print(tokenized)

Outputs

['_', 'quick', 'brown', 'fox', 'jump', 'over', '_', 'lazi', 'døg']

Make a tokenizer with ASCII folding...

from lucytok import english
es_english_folded = english("asp->NNN->l->sNNN->1")
print(es_english_folded("The quick brown fox jumps over the lazy døg"))

['_', 'quick', 'brown', 'fox', 'jump', 'over', '_', 'lazi', 'dog']

Split compounds and convert British to American spelling...

from lucytok import english
es_british = english("asp->NNN->l->scbN->1")
print(es_british("The watercolour fox jumps over the lazy døg"))

['_', 'water', 'color', 'fox', 'jump', 'over', '_', 'lazi', 'dog']

Spec

Create a tokenizer using the following settings (these concepts correspond to their Elasticsearch counterparts):

#  |- ASCII fold (a) or not (N)
#  ||- Standard (s) or WS tokenizer (w)
#  ||- Remove possessive suffixes (p) or not (N)
#  |||
# "NsN->NNN->N->NNNN->N"
#       |||  |  ||||  |
#       |||  |  ||||  |- Porter stem version (1) or version (2) vs N/0 for none
#       |||  |  ||||- Manually convert irregular plurals (p) or not (N)
#       |||  |  |||- Split Compounds (c) or not (N)
#       |||  |  ||- Convert british to american spelling (b) or not (N)
#       |||  |  |- Blank out stopwords (s) or not (N)
#       |||  |- Lowercase (l) or not (N)
#       |||- Split on letter/number transitions (n) or not (N)
#       ||- Split on case changes (c) or not (N)
#       |- Split on punctuation (p) or not (N)


# "NsN->NNN->N->NNN->N"
#  ---
#  (tokenization)

# "NsN->NNN->N->NNNN->N"
#       ---
#       (word splitting on rules, like WordDelimeterFilter in Lucene)

# "NsN->NNN->N->NNNN->N"
#            -
#            (lowercasing or not)

# "NsN->NNN->N->NNNN->N"
#               ----
#               (dictionary based splitting stopwords -> compounds -> british/american English -> irregular plurals)

# "NsN->NNN->N->NNNN->N"
#                     - stemming (porter)