flores | Facebook Low Resource MT Benchmark | Translation library
kandi X-RAY | flores Summary
kandi X-RAY | flores Summary
FLORES-101 is a Many-to-Many multilingual translation benchmark dataset for 101 languages.
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Top functions reviewed by kandi - BETA
- Insert the errors in the monologingUAL format
- Adds deletion errors to the text
- Adds an insertion errors to the matrix
- Remove multiple elements from a list
- Convenience function to detect a PDF document from a source
- Splits the input file into multiple files
- Get a new file
- Reads results from finetuning output
- Get the real error rates for a given data type and size
- Calculates the metrics for the prediction
- Preprocess inputs
- Evaluate BLEU
- Translate data from source to destination language
- Local test
- Train the model
- Saves the uhr as a text file
- Read the monolingual data
- Runs tess on the given language code
- Run the segmentation
- Run augmentation
- Builds the training data
- Translate a list of files
- Return a dictionary of all of theomalies
- Prepare data for back translation
- Measure the error rate of the OCR problem
- Extract OCR errors from input and OCR output
flores Key Features
flores Examples and Code Snippets
Community Discussions
Trending Discussions on flores
QUESTION
New to python/scraping. Trying to obtain the info for this xml (https://www.boe.es/diario_boe/xml.php?id=BOE-A-2022-2225)
...ANSWER
Answered 2022-Feb-15 at 11:27To get all tables and avoid the error while using find_all()
you have to iterate the ResultSet.
QUESTION
I want to group this following data into a dictionaries and add the names section and grade in a list
My input data:
...ANSWER
Answered 2022-Jan-09 at 21:53Given a shortened version of your data:
QUESTION
I'm currently working on a project that cross validate 2 sheets with approx 500 loops.
ROSTER
First Name Last Name DoB Judith Barragan 4/10/1959 Kelly Benitez 9/14/1993 Martha Bustos 1/12/1960 Robyn Carroll 5/9/1954 Janet Chambers 8/27/1949 Nikki Corso 10/25/1957 Angella Decohen 5/23/1988 Damian Delaney 6/26/1961 Anora Denison 4/14/1998 Cristina Dimatulac 7/28/1959 Mercy Erazo 3/14/1959 Michelle Fanara 11/20/1981 Shannon Feldmann 9/10/1986 Alejandra Frutos-Silva 2/14/1978 Rebecka Aceves 7/14/2007 Jarely Aguilera 6/8/2006 Jasmine Aguillon 1/29/2007 Adriana Alaniz 10/4/2007 Blanca Angel 11/3/2007 Francie Arellano 9/11/2007 Molly Barajas 10/1/2007 Emily Barranco 9/12/2007 Valeria Bata 3/29/2007 Sarahi Cabeza 8/8/2007 Carla Cadena 3/31/2006 Emily Cano 1/25/2007 Janet Canul 4/27/2007 Caitlyn Castaneda 3/26/2007 Jacqueline Castillo 1/22/2007 Melanie Colindres 6/8/2007 Nyah Davis 8/8/2007 Karie Delgadillo 2/10/2007 Gabriela Diaz 6/25/2007 Helen Diaz 8/17/2007 Hailey Duran 5/20/2007 Hazel Flores 9/7/2007 Kiherra Gamboa 10/4/2007 Belen Gonzalez 4/23/2007 Samantha Gonzalez 10/16/2007 Ashlee Palacios 8/31/2006 Naomi Papaqui 5/17/2007 Karely Paxtor 10/21/2006 Michelle Paxtor 10/20/2007 Audra Perez 2/24/2007 Josueline Perez 10/30/2006 Yaretzi Pineda 2/17/2007 Zuleyka Portela 9/10/2007 Jacqueline Prudencio 3/1/2007 Destiny Quiroz 5/10/2007 Kelcey Raiz 5/11/2007 Brianna Ramos 8/15/2007 Neydy Renderos 8/26/2007 Daiman Johnson 3/3/1968 Kimberley Rivas 11/2/2007 Michelle Dominguez 5/15/2005 Marleny Rodriguez 7/29/2007 Maria Roman 5/9/2006 Cristal Solis 9/29/2006 Carmela Torralba 6/28/2007 Dora Vasquez 5/14/2007 Cindy Vega 11/20/2007 Jennifer Velasco 6/30/2006 Chloe Wilson 10/8/2007 Melody Zacarias 5/17/2007 Hazel Zamora 1/27/2007 Kayden Alexander 2/6/2006 Yvette Alvarado 3/30/2006 Damian Delaney 6/26/1961 Kimberly Amezcua 7/14/2006 Kimberly Antonio 5/30/2006 Alicia Aquino 6/15/2006 Samantha Aquino 6/27/2006 Destiny Arauz 6/13/2006 Julissa Arroyo 5/26/2006 Cassandra Ayala 8/18/2006 Samantha Ayala 7/2/2006 Eva Azul 2/6/2006 Stacey Bacelis 4/4/2006 America Baires 7/17/2006 Ashley Barajas 6/10/2005 Janet Barrera 10/14/2005 Alisa Benitez 5/26/2006 Sara Bolanos-Mejia 1/12/2006 Ashley Mendez 6/22/2006 Ana Carvente 7/12/2006 Mia Castellanos 6/19/2006 Rosalma Cebreros 3/3/2006 Yosselin Celis 5/25/2005 Jacqueline Lucero 9/2/1974 Evelyn Chamu 1/30/2006 Nataly Chavez 2/27/2006 Juliana Coeto 10/4/2005 Shesith Covarrubias 12/8/2005 Ashley Cruz 7/20/2006 Erin Dakers 8/2/2007 Claudia Lopez 6/16/2007 Cristina Diaz 10/13/2005 Zoe Dighero 4/11/2006 Kaylynn Domingo 10/4/2006 Celeste Dominguez 6/1/2006 Lizzy Escobar 12/14/2005 Lilian Escorza 12/23/2005REGISTRATION
First Name Last Name DoB Jacqueline Lucero 9/2/1974 Ashley Mendez 6/22/2006 Hyobe Namkoong 6/19/2007 Hetzabel Sanchez 4/13/2005 cristal solis 9/29/2006 Briseida Lopez 5/22/2005 Daiman Johnson 3/3/1968 Kayleen Vasquez 12/9/2003 Ashley Aguilar 12/9/2003 Damian Delaney 6/26/1961 Michelle Dominguez 5/15/2005 Martha Bustos 1/12/1960 Jaqueline Granadino 9/6/2004 jacqueline granadino 9/6/2004 Jacqueline granadino 9/6/2004 Maria Gutierrez 11/30/2006 Claudia Lopez 6/16/2007 Kelly Benitez 9/14/1993 Kelly Benitez 9/14/1993RESULT
First Name Last Name DoB Start Code Jacqueline Lucero 9/2/1974 1980001 Ashley Mendez 6/22/2006 1980002 Cristal Solis 9/29/2006 1980003 Daiman Johnson 3/3/1968 1980004 Damian Delaney 6/26/1961 1980005 Michelle Dominguez 5/15/2005 1980006 Martha Bustos 1/12/1960 1980007 Claudia Lopez 6/16/2007 1980008 Kelly Benitez 9/14/1993 1980009Sample Data Sheet my problem is that my script sometimes getting run-time timeout. I am seeing map function but I'm not sure if it's applicable for my current problem.
here are my sheets that is included in my script. sheets are roster, form responses 1, reference, result. roster and registration tab have common columns (First name, Last Name, Date of Birth)
...ANSWER
Answered 2021-Dec-09 at 05:24You could process all the "Roster" data in batches by keeping track of the last row that you have processed with PropertiesService
QUESTION
I'm currently working on a project that cross validate 2 sheets with approx 500 loops.
ROSTER
First Name Last Name DoB Judith Barragan 4/10/1959 Kelly Benitez 9/14/1993 Martha Bustos 1/12/1960 Robyn Carroll 5/9/1954 Janet Chambers 8/27/1949 Nikki Corso 10/25/1957 Angella Decohen 5/23/1988 Damian Delaney 6/26/1961 Anora Denison 4/14/1998 Cristina Dimatulac 7/28/1959 Mercy Erazo 3/14/1959 Michelle Fanara 11/20/1981 Shannon Feldmann 9/10/1986 Alejandra Frutos-Silva 2/14/1978 Rebecka Aceves 7/14/2007 Jarely Aguilera 6/8/2006 Jasmine Aguillon 1/29/2007 Adriana Alaniz 10/4/2007 Blanca Angel 11/3/2007 Francie Arellano 9/11/2007 Molly Barajas 10/1/2007 Emily Barranco 9/12/2007 Valeria Bata 3/29/2007 Sarahi Cabeza 8/8/2007 Carla Cadena 3/31/2006 Emily Cano 1/25/2007 Janet Canul 4/27/2007 Caitlyn Castaneda 3/26/2007 Jacqueline Castillo 1/22/2007 Melanie Colindres 6/8/2007 Nyah Davis 8/8/2007 Karie Delgadillo 2/10/2007 Gabriela Diaz 6/25/2007 Helen Diaz 8/17/2007 Hailey Duran 5/20/2007 Hazel Flores 9/7/2007 Kiherra Gamboa 10/4/2007 Belen Gonzalez 4/23/2007 Samantha Gonzalez 10/16/2007 Ashlee Palacios 8/31/2006 Naomi Papaqui 5/17/2007 Karely Paxtor 10/21/2006 Michelle Paxtor 10/20/2007 Audra Perez 2/24/2007 Josueline Perez 10/30/2006 Yaretzi Pineda 2/17/2007 Zuleyka Portela 9/10/2007 Jacqueline Prudencio 3/1/2007 Destiny Quiroz 5/10/2007 Kelcey Raiz 5/11/2007 Brianna Ramos 8/15/2007 Neydy Renderos 8/26/2007 Daiman Johnson 3/3/1968 Kimberley Rivas 11/2/2007 Michelle Dominguez 5/15/2005 Marleny Rodriguez 7/29/2007 Maria Roman 5/9/2006 Cristal Solis 9/29/2006 Carmela Torralba 6/28/2007 Dora Vasquez 5/14/2007 Cindy Vega 11/20/2007 Jennifer Velasco 6/30/2006 Chloe Wilson 10/8/2007 Melody Zacarias 5/17/2007 Hazel Zamora 1/27/2007 Kayden Alexander 2/6/2006 Yvette Alvarado 3/30/2006 Damian Delaney 6/26/1961 Kimberly Amezcua 7/14/2006 Kimberly Antonio 5/30/2006 Alicia Aquino 6/15/2006 Samantha Aquino 6/27/2006 Destiny Arauz 6/13/2006 Julissa Arroyo 5/26/2006 Cassandra Ayala 8/18/2006 Samantha Ayala 7/2/2006 Eva Azul 2/6/2006 Stacey Bacelis 4/4/2006 America Baires 7/17/2006 Ashley Barajas 6/10/2005 Janet Barrera 10/14/2005 Alisa Benitez 5/26/2006 Sara Bolanos-Mejia 1/12/2006 Ashley Mendez 6/22/2006 Ana Carvente 7/12/2006 Mia Castellanos 6/19/2006 Rosalma Cebreros 3/3/2006 Yosselin Celis 5/25/2005 Jacqueline Lucero 9/2/1974 Evelyn Chamu 1/30/2006 Nataly Chavez 2/27/2006 Juliana Coeto 10/4/2005 Shesith Covarrubias 12/8/2005 Ashley Cruz 7/20/2006 Erin Dakers 8/2/2007 Claudia Lopez 6/16/2007 Cristina Diaz 10/13/2005 Zoe Dighero 4/11/2006 Kaylynn Domingo 10/4/2006 Celeste Dominguez 6/1/2006 Lizzy Escobar 12/14/2005 Lilian Escorza 12/23/2005REGISTRATION
First Name Last Name DoB Jacqueline Lucero 9/2/1974 Ashley Mendez 6/22/2006 Hyobe Namkoong 6/19/2007 Hetzabel Sanchez 4/13/2005 cristal solis 9/29/2006 Briseida Lopez 5/22/2005 Daiman Johnson 3/3/1968 Kayleen Vasquez 12/9/2003 Ashley Aguilar 12/9/2003 Damian Delaney 6/26/1961 Michelle Dominguez 5/15/2005 Martha Bustos 1/12/1960 Jaqueline Granadino 9/6/2004 jacqueline granadino 9/6/2004 Jacqueline granadino 9/6/2004 Maria Gutierrez 11/30/2006 Claudia Lopez 6/16/2007 Kelly Benitez 9/14/1993 Kelly Benitez 9/14/1993RESULT
First Name Last Name DoB Start Code Jacqueline Lucero 9/2/1974 1980001 Ashley Mendez 6/22/2006 1980002 Cristal Solis 9/29/2006 1980003 Daiman Johnson 3/3/1968 1980004 Damian Delaney 6/26/1961 1980005 Michelle Dominguez 5/15/2005 1980006 Martha Bustos 1/12/1960 1980007 Claudia Lopez 6/16/2007 1980008 Kelly Benitez 9/14/1993 1980009Sample Data Sheet my problem is that my script sometimes getting run-time timeout. I am seeing map function but I'm not sure if it's applicable for my current problem.
here are my sheets that is included in my script. sheets are roster, form responses 1, reference, result. roster and registration tab have common columns (First name, Last Name, Date of Birth)
...ANSWER
Answered 2021-Dec-09 at 06:19You might try something like this:
QUESTION
Im working through some self-join examples and I am drawing a blank on the following example. Its the last example at the following link Self-Join Example
...ANSWER
Answered 2021-Nov-26 at 15:51If you didn't have any condition on employee ID at all you'd end up with records where a self-match had occurred, e.g. the results would show "Gracie Gardner was hired on the same day as Gracie Gardner"
We could then put ON e1.employee_id <> e2.employee_id
- this would prevent Gracie matching with Gracie, but you'd then find "Gracie Gardner was hired on the same day as Summer Payne" and "Summer Payne was hired on the same day as Gracie Gardner" - i.e. you'd get "duplicate records" in terms of "person paired with person", each name being mentioned both ways round
Using greater than prevents this, and effectively means that any given pair of names only appears once. Because Gracie's ID is less than Summer's, you'll get Gracie in e1
paired with Summer in e2
but you won't get Summer in e1
paired with Gracie in e2
Another way of visualizing it is with a square/matrix
QUESTION
Under Linux, I'm submitting a form containing text with \n
as the line ending. That's the HTML:
ANSWER
Answered 2021-Jul-15 at 07:18It's not clear what the problem is here. If I take the same input:
QUESTION
I'm currently making a shiny application and I have a feature that allows me to delete or add a row from an array using an "actionButton" as well as the same row in the original array file. However I wanted to know if there was a way to make a warning appear asking the user if he was sure he wanted to delete this row (in shiny or html or JS) before the action is performed of course.
Here is an exemple for adding a line :
...ANSWER
Answered 2021-May-14 at 08:35Perhaps with the shinyalert package, something like that:
QUESTION
I want to save the result of a whole Mysql table in an array
...ANSWER
Answered 2021-Apr-30 at 18:47You can use a List
.
QUESTION
is there a way to do gender detection from a list of European names in R. Thanks in advance As example I have this list of names surname couples:
...ANSWER
Answered 2021-Apr-19 at 16:17If you have a list of all first names and their corresponding gender, you can generate a hash object. Getting the gender is as simple as passing the first name into the hash. One limitation is this doesn't actually tell you their gender, it's really just a guess.
QUESTION
I know my questions are similar to other questions but I could not figure it.
...ANSWER
Answered 2021-Feb-19 at 05:44For fullname, you cane use replace(".", "")
to remove the '.'
So for fullname it can be:
i.substring(0, i.lastIndexOf("@")).replace(".", "")
https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/String/replace
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