word2number | Python script and GUI to convert word numbers
kandi X-RAY | word2number Summary
kandi X-RAY | word2number Summary
This is a python program with GUI to translate word numbers to digit numbers in both English and Persian. این یک برنامه پایتون با ظاهر گرافیکی برای تبدیل عدد با حروف به عدد با رقم به زبان فارسی و انگلیسی است. If you're not a developer, download the compiler.exe file in Release(GitHub). اگر برنامه نویس نیستید ، در قسمت ریلیز در سایت گیت هاب فایل اجرایی رو دانلود و باز کنید. Otherwise, translate letters and words with yours. Compiler.py: a script to connect python to Qt, and a little smarter. Moin.db: Persian words database. number_changer.ui: GUI designed with PyQt5 designer. number_changer.py: generated from the UI file. Persian_calculator.py: The main program for Persian words. English_calculator.py: The main program for English words.
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Top functions reviewed by kandi - BETA
- Called when the push button is clicked
- This function parses the text
- Count the number of duplicates
- Performs keprator
- Count duplicated errors
- Separator
- Searphator
- Print the results
- Parse the results
- Convert text to counter
- Separate the text in the book
- Separator that will split the text
- Number of words in text
- Set the error message
- Setup the UI
- Translate the UI
word2number Key Features
word2number Examples and Code Snippets
Community Discussions
Trending Discussions on word2number
QUESTION
#novecientos ---> 900 but only want to take the '9'
#noventa y nueve ---> '99'
number = "novecientos noventa y nueve" # ---> I should concatenate them and it would be this '999'
print(type(number))
#try:
# number = int(number)
#except: #I remove that to see the error message in console
if(1==1):
#Cannot be converted to number directly
#without word2number library for spanish word-numbers from 0 to 1000
#Spanish [0 to 1000]
help_dict = {
'uno':'01','dos':'02','tres':'03','cuatro':'04','cinco':'05','seis':'06','siete':'07','ocho':'08','nueve':'09',
'diez':'10','once':'11','doce':'12','trece':'13','catorce':'14','quince':'15','dieciseis':'16','dieci seis':'16','diecisiete':'17','dieci siete':'17','dieciocho':'18','dieci ocho':'18','diecinueve':'19','dieci nueve':'19',
'veinte':'20', 'veintiuno':'21', 'veinti uno':'21', 'veintidos':'22', 'veinti dos':'22', 'veintitres':'23', 'veinti tres':'23','veinticuatro':'24', 'veinti cuatro':'24', 'veinticinco':'25', 'veinti cinco':'25', 'veintiseis':'26', 'veinti seis':'26','veintisiete':'27','veinti siete':'27','veintiocho':'28','veinti ocho':'28', 'veintinueve':'29', 'veinti nueve':'29',
'treinta':'30', 'treinta y uno':'31', "treintayuno":'31', 'treinta y dos':'32', 'treintaydos':'32','treinta y tres':'33','treinta y tres':'33','treintaytres':'33','treinta y cuatro':'34','treintaycuatro':'34','treinta y cinco':'35','treintaycinco':'35','treinta y seis':'36','treintayseis':'36','treinta y siete':'37','treintaysiete':'37','treinta y ocho':'38','treintayocho':'38','treinta y nueve':'39','treintaynueve':'39',
'cuarente':'40','cuarenta y uno':'41','cuarentayuno':'41','cuarenta y dos':'42','cuarentaydos':'42','cuarenta y tres':'43','cuarentaytres':'43','cuarenta y cuatro':'44','cuarentaycuatro':'44','cuarenta y cinco':'45','cuarentaycinco':'45','cuarenta y seis':'46','cuarenteyseis':'46','cuarenta y siete':'47','cuarentaysiete':'47','cuarenta y ocho':'48','cuarentayocho':'48','cuarenta y nueve':'49','cuarentaynueve':'49',
'cincuenta':'50','cincuenta y uno':'51','cincuentayuno':'51','cincuenta y dos':'52','cincuentaydos':'52','cincuenta y tres':'53','cincuentaytres':'53','cincuenta y cuatro':'54','cincuentaycuatro':'54','cincuenta y cinco':'55','cincuentaycinco':'55','cincuenta y seis':'56','cincuentayseis':'56','cincuenta y siete':'57','cincuentaysiete':'57','cincuenta y ocho':'58','cincuentayocho':'58','cincuenta y nueve':'59','cincuentaynueve':'59',
'sesenta':'60','sesenta y uno':'61','sesentayuno':'61','sesenta y dos':'62','sesentaydos':'62','sesenta y tres':'63','sesentaytres':'63','sesenta y cuatro':'64','sesentaycuatro':'64','sesenta y cinco':'65','sesentaycinco':'65','sesenta y seis':'66','sesentayseis':'66','sesenta y siete':'67','sesentaysiete':'67','sesenta y ocho':'68','sesentayocho':'68','sesenta y nueve':'69','sesentaynueve':'69',
'setenta':'70','setenta y uno':'71','setentayuno':'71','setenta y dos':'72','setentaydos':'72','setenta y tres':'73','setentaytres':'73','setenta y cuatro':'74','setentaycuatro':'74','setenta y cinco':'75','setentaycinco':'75','setenta y seis':'76','setentayseis':'76','setenta y siete':'77','setentaysiete':'77','setenta y ocho':'78','setentayocho':'78','setenta y nueve':'79','setentaynueve':'79',
'ochenta':'80','ochenta y uno':'81','ochentayuno':'81','ochenta y dos':'82','ochentaydos':'82','ochenta y tres':'83','ochentaytres':'83','ochenta y cuatro':'84','ochentaycuatro':'84','ochenta y cinco':'85','ochentaycinco':'85','ochenta y seis':'86','ochentayseis':'86','ochenta y siete':'87','ochentaysiete':'87','ochenta y ocho':'88','ochentayocho':'88','ochenta y nueve':'89','ochentaynueve':'89',
'noventa':'90','noventa y uno':'91','noventayuno':'91','noventa y dos':'92','noventaydos':'92','noventa y tres':'93','noventaytres':'93','noventa y cuatro':'94','noventaycuatro':'94','noventa y cinco':'95','noventaycinco':'95','noventa y seis':'96','noventayseis':'96','noventa y siete':'97','noventaysiete':'97','noventa y ocho':'98','noventayocho':'98','noventa y nueve':'99','noventaynueve':'99',
'cien':'100',
'ciento':'1',
'dos cientos':'2','doscientos':'2',
'tres cientos':'3','trescientos':'3',
'cuatro cientos':'4','cuatrocientos':'4',
'quinientos':'5',
'seis cientos':'6','seiscientos':'6',
'sete cientos':'7','setecientos':'7',
'ocho cientos':'8','ochocientos':'8',
'nove cientos':'9','novecientos':'9',
'mil':'1000',
'cero' : '0'
}
# Convert numeric words to numbers using join() + split()
number = ''.join(help_dict[ele] for ele in number.split())
print (number)
number = int(number)
print(type(number))
...ANSWER
Answered 2021-Sep-20 at 16:50You could define a function that will help to parse the result:
QUESTION
I am building a Docker container based on python:3.7-slim-stretch
(same problem also happens on python:3.7-slim-stretch
), and it is getting Killed
on
ANSWER
Answered 2021-Feb-22 at 06:09I experience something similar on Windows when my docker containers run out of memory in WSL. I think the settings are different for Mac, but it looks like there is info here on setting the VM RAM/disk size/swap file settings for Docker for Desktop on Mac:
QUESTION
Simple sentences involving the verb, "is" return no results for semantic role labeling, either via the demo page or by using AllenNLP in Python3.8 with the latest November Bert base model.
For example, "I am here." returns nothing.
In short:
- Instances of simple "A is B" sentences don't return any results.
- I believe there should be some sort of output, as other SRL engines do return results.
- The same goes for "I am." The expected result is an ARG1 for "I" and a predicate of "am."
This used to work with an earlier version:
...ANSWER
Answered 2020-Dec-12 at 03:21To provide some closure, the issue was caused by an update in Spacy. We have a fix in https://github.com/allenai/allennlp-models/pull/178 (thank you https://github.com/wangrat), and it will be officially released in AllenNLP 1.3.
If you need this feature earlier than that, we recommend checking out the main
branch of AllenNLP and installing it with pip install -e .
.
QUESTION
I'm using the rasa nlu with the supervised_embedding pipeline, and I am trying to train my models. On my local machine, I can train without any issues. When I try to train the models on my server, I am getting the following error:
...ANSWER
Answered 2020-Feb-26 at 14:31Looks like the reason it wasn't working on the server is because the CPU on it doesn't have the AVX instruction set. I have managed to train it on another server that has the AVX instruction set.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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Install word2number
You can use word2number 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.
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