truecase | python true casing utility that restores case | Natural Language Processing library

by daltonfury42 Python Version: 0.0.14 License: Apache-2.0

X-Ray Key Features Code Snippets(2)Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | truecase Summary

truecase is a Python library typically used in Artificial Intelligence, Natural Language Processing applications. truecase has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install truecase' or download it from GitHub, PyPI.

A language independent, statistical, language modeling based tool in Python that restores case information for text. The model was inspired by the paper of Lucian Vlad Lita et al., tRuEcasIng but with some simplifications. A model trained on NLTK English corpus comes with the package by default, and for other languages, a script is provided to create the model. This model is not perfect, train the system on a large and recent dataset to achieve the best results (e.g. on a recent dump of Wikipedia).

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Quality

Security

License

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Support

truecase has a low active ecosystem.

It has 48 star(s) with 14 fork(s). There are 4 watchers for this library.

It had no major release in the last 12 months.

There are 2 open issues and 3 have been closed. On average issues are closed in 21 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of truecase is 0.0.14

Quality

truecase has 0 bugs and 2 code smells.

Security

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

truecase code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

truecase is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

truecase releases are available to install and integrate.

Deployable package is available in PyPI.

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

Installation instructions are not available. Examples and code snippets are available.

truecase saves you 115 person hours of effort in developing the same functionality from scratch.

It has 301 lines of code, 20 functions and 7 files.

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

Top functions reviewed by kandi - BETA

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

Get the true case from a sentence
Calculates the Unigram score
Computes the true case from the given tokens
Return first token from raw string
Train the model
Function to calculate the trigram distance
Get the casing of a word
Function that calculates the distance between two words
Check if the sentence contains all lower case
Calculate unigram casing_dist
Saves the model to a pickle file
Read requirements file
Get the true case
Get the default Caser instance

Get all kandi verified functions for this library.

truecase Key Features

No Key Features are available at this moment for truecase.

truecase Examples and Code Snippets

TrueCase,Usage

Python

Lines of Code : 3

License : Permissive (Apache-2.0)

Copy

>>> import truecase
>>> truecase.get_true_case('hey, what is the weather in new york?')
'Hey, what is the weather in New York?''

Installing

Python

Lines of Code : 1

License : Permissive (Apache-2.0)

Copy

pip3 install truecase

Community Discussions

Trending Discussions on truecase

Aggregation in function not working right

Convert a dictionary with unknown keys to Feature collection in Earh engine

How do I host CoreNLP server with caseless models?

QUESTION

Aggregation in function not working right

Asked 2020-Sep-14 at 21:21

Hello so I have a python function that's working but not in the way I expect and I'm not sure where my code is off.

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ANSWER

Answered 2020-Sep-14 at 21:14

You're not consistent in converting the token to lowercase. You use the lowercase version when assigning to the dictionary, but the original case when calling actions.get(). So if the token has mixed case, you'll keep on getting the default when you call actions.get(), and keep setting it to 1.

Source https://stackoverflow.com/questions/63891811

QUESTION

Convert a dictionary with unknown keys to Feature collection in Earh engine

Asked 2020-Sep-09 at 06:49

I am having trouble converting some ee.Dictionary (with null-valued keys) returned by sampleRegion in Earth Engine. I am trying to sample a multi-band image across multiple regions, then convert the resulting dictionary to ee.FeatureCollection where the key/value pair (of the dictionary) will be a feature with null geometry. I would like to keep all keys including those with null values. Keys having null values should be recoded to 9 or kept as null, but I need them as feature in the final collection. I tried using ee.Algorithms.If to handle these keys having null values but I got stack with the following error:

FeatureCollection (Error) Error in map(ID=0): Element.geometry, argument 'feature': Invalid type. Expected type: Element. Actual type: String. Actual value: B3

Below is a reproducible example which can also be found here. Any hint will greatly help!

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ANSWER

Answered 2020-Sep-09 at 06:49

I finally figured it out and I am posting the answer in case someone may be interested. I addressed the issues using the function below.

Source https://stackoverflow.com/questions/63797330

QUESTION

How do I host CoreNLP server with caseless models?

Asked 2020-Jun-02 at 23:32

I'm trying to host a CoreNLP server but with the caseless models but I don't think I was successful and the official site doesn't have example hosting such model.

I'm currently hosting with:

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ANSWER

Answered 2020-Jun-02 at 23:32

You need to pass the property "ner.model": "edu/stanford/nlp/models/ner/english.all.3class.caseless.distsim.crf.ser.gz,edu/stanford/nlp/models/ner/english.muc.7class.caseless.distsim.crf.ser.gz,edu/stanford/nlp/models/ner/english.conll.4class.caseless.distsim.crf.ser.gz"

Also you may want to use Stanza for accessing the Stanford CoreNLP server.

Details here: https://stanfordnlp.github.io/stanza/corenlp_client.html#overview

Source https://stackoverflow.com/questions/62154244

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

Vulnerabilities

No vulnerabilities reported

Install truecase

You can install using 'pip install truecase' or download it from GitHub, PyPI.
You can use truecase 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.