How to get the similar sounding words together

I am trying to get all the similar sounding words from a list

I tried to get them using cosine similarity but that does not fulfill my purpose

from sklearn.metrics.pairwise import cosine_similarity

dataList = ['two','fourth','forth','dessert','to','desert']

cosine_similarity(dataList)

I know this is not the right approach, I cannot seam to get a result like:

result = ['xx', 'xx', 'yy', 'yy', 'zz', 'zz']

where they mean that the words which sound similar

edited 43 mins ago

DirtyBit

10.2k21640

asked 50 mins ago

Marc Stoch

312

New contributor

add a comment |

I am trying to get all the similar sounding words from a list

I tried to get them using cosine similarity but that does not fulfill my purpose

from sklearn.metrics.pairwise import cosine_similarity

dataList = ['two','fourth','forth','dessert','to','desert']

cosine_similarity(dataList)

I know this is not the right approach, I cannot seam to get a result like:

result = ['xx', 'xx', 'yy', 'yy', 'zz', 'zz']

where they mean that the words which sound similar

edited 43 mins ago

DirtyBit

10.2k21640

asked 50 mins ago

Marc Stoch

312

New contributor

add a comment |

I am trying to get all the similar sounding words from a list

I tried to get them using cosine similarity but that does not fulfill my purpose

from sklearn.metrics.pairwise import cosine_similarity

dataList = ['two','fourth','forth','dessert','to','desert']

cosine_similarity(dataList)

I know this is not the right approach, I cannot seam to get a result like:

result = ['xx', 'xx', 'yy', 'yy', 'zz', 'zz']

where they mean that the words which sound similar

edited 43 mins ago

DirtyBit

10.2k21640

asked 50 mins ago

Marc Stoch

312

New contributor

I am trying to get all the similar sounding words from a list

I tried to get them using cosine similarity but that does not fulfill my purpose

from sklearn.metrics.pairwise import cosine_similarity

dataList = ['two','fourth','forth','dessert','to','desert']

cosine_similarity(dataList)

I know this is not the right approach, I cannot seam to get a result like:

result = ['xx', 'xx', 'yy', 'yy', 'zz', 'zz']

where they mean that the words which sound similar

python python-3.x list

edited 43 mins ago

DirtyBit

10.2k21640

asked 50 mins ago

Marc Stoch

312

New contributor

edited 43 mins ago

DirtyBit

10.2k21640

asked 50 mins ago

Marc Stoch

312

New contributor

edited 43 mins ago

DirtyBit

10.2k21640

edited 43 mins ago

DirtyBit

10.2k21640

edited 43 mins ago

DirtyBit

10.2k21640

asked 50 mins ago

Marc Stoch

312

New contributor

asked 50 mins ago

Marc Stoch

312

asked 50 mins ago

Marc Stoch

312

New contributor

Marc Stoch is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.

add a comment |

1 Answer
1

active

oldest

votes

First you need to use a proper way to get the similar sounding words i.e. string similarity, I would suggest:

Using jellyfish:

from jellyfish import soundex



print(soundex("two"))

print(soundex("to"))

OUTPUT:

T000

T000

Now perhaps, create a function that would handle the list and then sort it to get them:

def isSoundex(dList):

    res = [soundex(x) for x in dList]   # iterate over each elem in the dataList

    # print(res)     # ['T000', 'F630', 'F630', 'D263', 'T000', 'D263']

    return res



dataList = ['two','fourth','forth','dessert','to','desert']

res = isSoundex(dataList)



print([x for x in sorted(res)])

OUTPUT:

['D263', 'D263', 'F630', 'F630', 'T000', 'T000']

EDIT:

Another way could be:

Using fuzzy:

import fuzzy

soundex = fuzzy.Soundex(4)



print(soundex("to"))

print(soundex("two"))

OUTPUT:

T000

T000

edited 33 mins ago

answered 47 mins ago

DirtyBit

10.2k21640

lib link please :)

– Nihal
46 mins ago

@Nihal updated! :)

– DirtyBit
41 mins ago

add a comment |

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1 Answer
1

active

oldest

votes

1 Answer
1

active

oldest

votes

First you need to use a proper way to get the similar sounding words i.e. string similarity, I would suggest:

Using jellyfish:

from jellyfish import soundex



print(soundex("two"))

print(soundex("to"))

OUTPUT:

T000

T000

Now perhaps, create a function that would handle the list and then sort it to get them:

def isSoundex(dList):

    res = [soundex(x) for x in dList]   # iterate over each elem in the dataList

    # print(res)     # ['T000', 'F630', 'F630', 'D263', 'T000', 'D263']

    return res



dataList = ['two','fourth','forth','dessert','to','desert']

res = isSoundex(dataList)



print([x for x in sorted(res)])

OUTPUT:

['D263', 'D263', 'F630', 'F630', 'T000', 'T000']

EDIT:

Another way could be:

Using fuzzy:

import fuzzy

soundex = fuzzy.Soundex(4)



print(soundex("to"))

print(soundex("two"))

OUTPUT:

T000

T000

edited 33 mins ago

answered 47 mins ago

DirtyBit

10.2k21640

lib link please :)

– Nihal
46 mins ago

@Nihal updated! :)

– DirtyBit
41 mins ago

add a comment |

First you need to use a proper way to get the similar sounding words i.e. string similarity, I would suggest:

Using jellyfish:

from jellyfish import soundex



print(soundex("two"))

print(soundex("to"))

OUTPUT:

T000

T000

Now perhaps, create a function that would handle the list and then sort it to get them:

def isSoundex(dList):

    res = [soundex(x) for x in dList]   # iterate over each elem in the dataList

    # print(res)     # ['T000', 'F630', 'F630', 'D263', 'T000', 'D263']

    return res



dataList = ['two','fourth','forth','dessert','to','desert']

res = isSoundex(dataList)



print([x for x in sorted(res)])

OUTPUT:

['D263', 'D263', 'F630', 'F630', 'T000', 'T000']

EDIT:

Another way could be:

Using fuzzy:

import fuzzy

soundex = fuzzy.Soundex(4)



print(soundex("to"))

print(soundex("two"))

OUTPUT:

T000

T000

edited 33 mins ago

answered 47 mins ago

DirtyBit

10.2k21640

lib link please :)

– Nihal
46 mins ago

@Nihal updated! :)

– DirtyBit
41 mins ago

add a comment |

First you need to use a proper way to get the similar sounding words i.e. string similarity, I would suggest:

Using jellyfish:

from jellyfish import soundex



print(soundex("two"))

print(soundex("to"))

OUTPUT:

T000

T000

Now perhaps, create a function that would handle the list and then sort it to get them:

def isSoundex(dList):

    res = [soundex(x) for x in dList]   # iterate over each elem in the dataList

    # print(res)     # ['T000', 'F630', 'F630', 'D263', 'T000', 'D263']

    return res



dataList = ['two','fourth','forth','dessert','to','desert']

res = isSoundex(dataList)



print([x for x in sorted(res)])

OUTPUT:

['D263', 'D263', 'F630', 'F630', 'T000', 'T000']

EDIT:

Another way could be:

Using fuzzy:

import fuzzy

soundex = fuzzy.Soundex(4)



print(soundex("to"))

print(soundex("two"))

OUTPUT:

T000

T000

edited 33 mins ago

answered 47 mins ago

DirtyBit

10.2k21640

First you need to use a proper way to get the similar sounding words i.e. string similarity, I would suggest:

Using jellyfish:

from jellyfish import soundex



print(soundex("two"))

print(soundex("to"))

OUTPUT:

T000

T000

Now perhaps, create a function that would handle the list and then sort it to get them:

def isSoundex(dList):

    res = [soundex(x) for x in dList]   # iterate over each elem in the dataList

    # print(res)     # ['T000', 'F630', 'F630', 'D263', 'T000', 'D263']

    return res



dataList = ['two','fourth','forth','dessert','to','desert']

res = isSoundex(dataList)



print([x for x in sorted(res)])

OUTPUT:

['D263', 'D263', 'F630', 'F630', 'T000', 'T000']

EDIT:

Another way could be:

Using fuzzy:

import fuzzy

soundex = fuzzy.Soundex(4)



print(soundex("to"))

print(soundex("two"))

OUTPUT:

T000

T000

edited 33 mins ago

answered 47 mins ago

DirtyBit

10.2k21640

edited 33 mins ago

answered 47 mins ago

DirtyBit

10.2k21640

answered 47 mins ago

DirtyBit

10.2k21640

answered 47 mins ago

DirtyBit

10.2k21640

lib link please :)

– Nihal
46 mins ago

@Nihal updated! :)

– DirtyBit
41 mins ago

add a comment |

lib link please :)

– Nihal
46 mins ago

@Nihal updated! :)

– DirtyBit
41 mins ago

lib link please :)

– Nihal
46 mins ago

@Nihal updated! :)

– DirtyBit
41 mins ago

add a comment |

Marc Stoch is a new contributor. Be nice, and check out our Code of Conduct.

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