soundex | Soundex Phonetic Code Algorithm Demo for Indian Languages | Learning library

by libindic Python Version: Current License: LGPL-3.0

X-Ray Key Features Code Snippets Community Discussions(10)Vulnerabilities Install Support

kandi X-RAY | soundex Summary

soundex is a Python library typically used in Tutorial, Learning, Example Codes applications. soundex has no bugs, it has no vulnerabilities, it has build file available, it has a Weak Copyleft License and it has high support. You can install using 'pip install soundex' or download it from GitHub, PyPI.

Soundex Phonetic Code Algorithm Demo for Indian Languages. Supports all indian languages and English. Provides intra-indic string comparison

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Quality

Security

License

Reuse

Support

soundex has a highly active ecosystem.

It has 40 star(s) with 11 fork(s). There are 14 watchers for this library.

It had no major release in the last 6 months.

There are 3 open issues and 5 have been closed. On average issues are closed in 47 days. There are no pull requests.

It has a positive sentiment in the developer community.

The latest version of soundex is current.

Quality

soundex has 0 bugs and 0 code smells.

Security

soundex has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

soundex code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

soundex is licensed under the LGPL-3.0 License. This license is Weak Copyleft.

Weak Copyleft licenses have some restrictions, but you can use them in commercial projects.

Reuse

soundex releases are not available. You will need to build from source code and install.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

soundex saves you 103 person hours of effort in developing the same functionality from scratch.

It has 262 lines of code, 11 functions and 5 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed soundex and discovered the below as its top functions. This is intended to give you an instant insight into soundex implemented functionality, and help decide if they suit your requirements.

Create a new soundex
Generate soundex string
Returns the soundex code for a given character
Compare soundex
Compare two strings

Get all kandi verified functions for this library.

soundex Key Features

No Key Features are available at this moment for soundex.

soundex Examples and Code Snippets

No Code Snippets are available at this moment for soundex.

Community Discussions

Trending Discussions on soundex

PySpark apply function on 2 dataframes and write to csv for billions of rows on small hardware

Is there a way to find out if two strings are similar in SQL Server without knowing anything about the values?

Laravel elastic search implement soundex

Retrieving Soundex Codes from a Data Column in mysql

Why is my stored procedure query returning extra results?

Elastic search for word developer finds development

Replace duplicates in matrix

PostgreSQL: Match Common Name Variants (Nicknames)

Distance between strings by similarity of sound

Image that disappears when dragging it to a target on Kivy

QUESTION

PySpark apply function on 2 dataframes and write to csv for billions of rows on small hardware

Asked 2022-Jan-17 at 19:39

I am trying to apply a levenshtein function for each string in dfs against each string in dfc and write the resulting dataframe to csv. The issue is that I'm creating so many rows by using the cross join and then applying the function, that my machine is struggling to write anything (taking forever to execute).

Trying to improve write performance:

I'm filtering out a few things on the result of the cross join i.e. rows where the LevenshteinDistance is less than 15% of the target word's.
Using bucketing on the first letter of each target word i.e. a, b, c, etc. still no luck (i.e. job runs for hours and doesn't generate any results).

...

ANSWER

Answered 2022-Jan-17 at 19:39

There are a couple of things you can do to improve your computation:

Improve parallelism

As Nithish mentioned in the comments, you don't have enough partitions in your input data frames to make use of all your CPU cores. You're not using all your CPU capability and this will slow you down.

To increase your parallelism, repartition dfc to at least your number of cores:

dfc = dfc.repartition(dfc.sql_ctx.sparkContext.defaultParallelism)

You need to do this because your crossJoin is run as a BroadcastNestedLoopJoin which doesn't reshuffle your large input dataframe.

Separate your computation stages

A Spark dataframe/RDD is conceptually just a directed action graph (DAG) of operations to run on your input data but it does not hold data. One consequence of this behavior is that, by default, you'll rerun your computations as many times as you reuse your dataframe.

In your fuzzy_match_approve function, you run 2 separate filters on your df, this means you rerun the whole cross-join operations twice. You really don't want this !

One easy way to avoid this is to use cache() on your fuzzy_match result which should be fairly small given your inputs and matching criteria.

Source https://stackoverflow.com/questions/70351645

QUESTION

Is there a way to find out if two strings are similar in SQL Server without knowing anything about the values?

Asked 2022-Jan-02 at 02:03

I'm trying to put together something that pulls related items based off a primary item.

For example, say I've got a really simple [FRUIT] table:

ID NAME 1 Fuji Apples 2 Apple: Golden Delicious 3 Granny Smith Apple 4 Blood Orange 5 Orange: Mandarin

And the user is currently looking at "Fuji Apples". I want to return the rows for "Apple: Golden Delicious" and "Granny Smith Apple" because they also have the word "Apple" in the value of their [Name] column. I guess what I'm looking for is something like LIKE, that does a broader comparison of the strings to see if there's any similar sets of characters.

I've taken a look at SOUNDEX and DIFFERENCE, but they're not what I'm looking for as my strings are too long and the similar word could be anywhere in the string.

If there's nothing that's fine, I can always implement some similarity algorithm if needed; but I don't want to put in the effort if there's already built-in to t-sql.

Note: I am aware in the example above it would make more sense to just add another column and/or table that had the values "Apple" and "Orange"; but that's not what I'm asking about.

...

ANSWER

Answered 2022-Jan-02 at 02:03

Please try the following solution.

It is using XML, XQuery, and Quantified Expressions.

Useful link: Quantified Expressions (XQuery)

SQL

Source https://stackoverflow.com/questions/70526010

QUESTION

Laravel elastic search implement soundex

Asked 2021-Dec-20 at 14:42

I'm facing an issue on the elastic search that it's not able to search if someone types wrong spelling. I have done some R & D about Soundex. Now I'm facing an issue to implement Soundex on elastic search. Please help me to do that, I've already installed Phonetic Anaalysis plugin on elastic search but how to configure the plugin with elastic search that will work with the search results.

...

ANSWER

Answered 2021-Dec-10 at 20:26

You need to create a custom analyzer using phonetic token filter and the apply this custom analyzer to your text field.

Alternatively, if you want to search with mistypes you can use fuzzy matches.

Source https://stackoverflow.com/questions/70300188

QUESTION

Retrieving Soundex Codes from a Data Column in mysql

Asked 2021-Oct-04 at 18:56

is it possible to make such a query in SQL: there is a column with names, let's say FirstName, you need to get the soundex code for each name in the column and write these codes into the FirstNamesdx column?

...

ANSWER

Answered 2021-Oct-04 at 18:56

Are you trying something like this:

Source https://stackoverflow.com/questions/69438177

QUESTION

Why is my stored procedure query returning extra results?

Asked 2021-Sep-09 at 13:05

I have the following query inside of a stored procedure:

...

ANSWER

Answered 2021-Sep-09 at 13:05

'Christiansen' has 12 characters in it.

You have defined the parameters to the stored procedure to have a length of 10, so the value is truncated to 'Christians'.

Fix the length parameter in the declaration of the stored procedure.

Source https://stackoverflow.com/questions/69118753

QUESTION

Elastic search for word developer finds development

Asked 2021-Jun-29 at 07:34

I am new to elastic search, so I have one beginner question :) I am searching for word "developer", however Elastic returns not only developer, but also "development". I wonder how it could be? I know that the SOUNDEX value for both words is same, but I didn't asked for that. Here's my query:

...

ANSWER

Answered 2021-Jun-29 at 07:34

You can check your mapping using GET index-name/_mapping

your field "en" will be using English analyzer which has a stemmer token filter. It creates root tokens for the word.

Stemming

Stemming is the process of reducing a word to its root form. This ensures variants of a word match during a search.

For example, walking and walked can be stemmed to the same root word: walk. Once stemmed, an occurrence of either word would match the other in a search.

So you are getting both "development" and "developer" when searched for developer. For not stemming match you need to perform search on field which doesn't have analyzer. If such field doesn't exist . You will have to update your mapping and create one

Source https://stackoverflow.com/questions/68173723

QUESTION

Replace duplicates in matrix

Asked 2021-Jun-04 at 14:20

i have the following test-code for you:

...

ANSWER

Answered 2021-Jun-04 at 14:20

To check for duplicates within each row (see Update), this should achieve what you want, and in a cleaner fashion:

Source https://stackoverflow.com/questions/67821702

QUESTION

PostgreSQL: Match Common Name Variants (Nicknames)

Asked 2021-Mar-21 at 20:49

Scenario

I have a number of enterprise datasets that I must find missing links between, and one of the ways I use for finding potential matches is joining on first and last name. The complication is that we have a significant number of people who use their legal name in one dataset (employee records), but they use either a nickname or (worse yet) their middle name in others (i.e., EAD, training, PIV card, etc.). I am looking for a way to match up these potentially disparate names across the various datasets.

Simplified Example

Here is an overly simplified example of what I am trying to do, but I think it conveys my thought process. I begin with the employee table:

Employees table employee_id first_name last_name 052451 Robert Armsden 442896 Jacob Craxford 054149 Grant Keeting 025747 Gabrielle Renton 071238 Margaret Seifenmacher

and try to find the matching data from the PIV card dataset:

Cards table card_id first_name last_name 1008571527 Bobbie Armsden 1009599982 Jake Craxford 1004786477 Gabi Renton 1000628540 Maggy Seifenmacher Desired Result

After trying to match these datasets on first name and last name, I would like to end up with the following:

Employees_Cards table emp_employee_id emp_first_name emp_last_name crd_card_id crd_first_name crd_last_name 052451 Robert Armsden 1008571527 Bobbie Armsden 442896 Jacob Craxford 1009599982 Jake Craxford 054149 Grant Keeting NULL NULL NULL 025747 Gabrielle Renton 1004786477 Gabi Renton 071238 Margaret Seifenmacher 1000628540 Maggy Seifenmacher

As you can see, I would like to make the following matches:

Gabrielle -> Gabi
Jacob -> Jacob
Margaret -> Maggy
Robert -> Bobbie

My initial thought was to find a common names dataset along the lines of:

Name_Aliases table name1 name2 name3 name4 Gabrielle Gabi NULL NULL Jacob Jake NULL NULL Margaret Maggy Maggie Meg Michael Mike Mikey Mick Robert Bobbie Bob Rob

and use something like this for the JOIN:

...

ANSWER

Answered 2021-Mar-20 at 01:10

How to structure and query and the aliases table is an interesting question. I'd suggest organizing it in pairs rather than wider rows, because you don't know in advance how many variations may eventually be needed in a group of connected names, and a two column structure gives you the ability to add to a given group indefinitely:

name1 name2 Jacob Jake Margaret Maggy Margaret Maggie Margaret Meg Maggy Maggie Maggy Meg Maggie Meg

Then you just check both columns in each JOIN in the query, something like this:

Source https://stackoverflow.com/questions/66716155

QUESTION

Distance between strings by similarity of sound

Asked 2021-Mar-19 at 23:42

Is the a quantitative descriptor of similarity between two words based on how they sound/are pronounced, analogous to Levenshtein distance?

I know soundex gives same id to similar sounding words, but as far as I undestood it is not a quantitative descriptor of difference between the words.

...

ANSWER

Answered 2021-Mar-19 at 23:42

You could combine phonetic encoding and string comparison algorithm. As a matter of fact jellyfish supplies both.

Setting up the libraries examples

Source https://stackoverflow.com/questions/66715423

QUESTION

Image that disappears when dragging it to a target on Kivy

Asked 2021-Feb-17 at 21:44

I am developing a game in which users must match images by their initial letter (in Spanish), so that when they drag to a point (the cauldron) an image that begins with the correct letter (in this case the igloo, the Indian and the magnet) this image disappears.Example screen

In other words, basically, an image disappears when dragged to a specific point.

*.kv

...

ANSWER

Answered 2021-Feb-17 at 21:44

I have used DragNDropWidget to solve this problem. It's quite simple to use but now I don't know how to change the size of the buttons, I would like them to be bigger and somewhat separated from each other.

DragNDropWidget.py

Source https://stackoverflow.com/questions/66182470

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install soundex

You can install using 'pip install soundex' or download it from GitHub, PyPI.
You can use soundex like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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