Comments (4)
Based on my research on available choices for the translation model, we have the following options:
-
- It is not free
- For the Translation API Basic, the First 500,000 characters per month are free with $10 credit every month, and it also provides $ 300 after creating google cloud - and 500,000 to 1 billion characters per month are $20 per million characters.
- There are some Pypi libraries such as googletrans 3.0.0 and googletrans-py 4.0.0 which are wrappers as a free Google Translate API for Python. However, none of them works now, as developers are not updating them anymore.
-
Translate Library of Pypi (translate 3.6.1): It is free but not accurate translation
-
Pretrained models, which are popular, open-source, and available in Hugging Face:
-
- An enhanced version of T5
-
No Language Left Behind (NLLB) from Meta:
- New model
- Translations directly between 200 languages, including low-resource languages
- With the following choices
- facebook/nllb-200-1.3B
- facebook/nllb-200-3.3B
- facebook/nllb-200-distilled-1.3B
- facebook/nllb-200-distilled-600M
-
- A multilingual variant of T5
- Older than others
-
For the early experiment, I have chosen the NLLB, nllb-200-distilled-600M version, and it is working properly on the back-translation task for text-to-text.
However, this needs some other work for the allignments to be added to the pipeline.
from lady.
Hi @hosseinfani ,
We have the module of translation now, which is working on a dataset of texts, and results will be the translation and back translation of those texts, each of them a csv file containing one column of sentences.
You can see early results in this commit: link
Now, I will go to work on the word alignment module.
from lady.
The available languages in nllb:
https://github.com/facebookresearch/flores/tree/main/flores200#languages-in-flores-200
from lady.
@farinamhz
I think we can safely close this issue. Let me know otherwise.
from lady.
Related Issues (20)
- batch execution of nllb translation
- Distribution of aspect terms and aspect categories in datasets HOT 6
- Adding HAST as a supervised baseline HOT 10
- Classification baseline for aspect term extraction HOT 18
- pipeline progress flow
- Check the existing readme and codeline HOT 2
- Gif image/video for illustrating the pipeline HOT 2
- Dockerize and fix installation on linux HOT 13
- a server for the web app
- Setup and Quickstart HOT 5
- Aspect based sentiment analysis + Running Bert and Cat library
- Adding Twitter Reviews Dataset HOT 1
- Needing for update in OCTIS library HOT 2
- Aspect Sentiment Triplet Extraction Baseline HOT 20
- New baseline for Aspect-Based Sentiment Analysis HOT 2
- Literature Review on Aspect and Sentiment Extraction HOT 1
- Adding a new tanslation model to the pipeline HOT 1
- OCTIS.CTM throws a value error during the training phase HOT 3
- Updating stats on quality of translation HOT 4
- Incorporating Underrepresented Languages: A Focus on Low-Resource Languages HOT 1
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from lady.