deep-trans | Transliterating English to Hindi using Recurrent | Natural Language Processing library

 by   dashayushman Python Version: 1.0.1 License: MIT

kandi X-RAY | deep-trans Summary

kandi X-RAY | deep-trans Summary

deep-trans is a Python library typically used in Artificial Intelligence, Natural Language Processing, Deep Learning, Pytorch, Tensorflow, Neural Network, Transformer applications. deep-trans has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However deep-trans build file is not available. You can download it from GitHub.

DeepTrans is a character level language model for transliterating English text into Hindi. It is based on the attention mechanism presented in [1] and its implementation in Tensorflow's Sequence to Sequence models. This project has been inspired by the translation model presented in tensorflow's sequence to sequence model. This project comes with a pretrained model (2 layers with 256 units each) for Hindi but can be easily trained over the existing model or from scratch. The pretrained models are trained on lowercase words. If you wish to train your own model then feel free to do whatever you want and I would be glad if you could share your results and models with me. I hope to see interesting results.
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            kandi-support Support

              deep-trans has a low active ecosystem.
              It has 44 star(s) with 13 fork(s). There are 3 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 6 open issues and 1 have been closed. On average issues are closed in 115 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of deep-trans is 1.0.1

            kandi-Quality Quality

              deep-trans has 0 bugs and 0 code smells.

            kandi-Security Security

              deep-trans has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              deep-trans code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              deep-trans is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              deep-trans releases are available to install and integrate.
              deep-trans has no build file. You will be need to create the build yourself to build the component from source.
              Installation instructions, examples and code snippets are available.
              deep-trans saves you 208 person hours of effort in developing the same functionality from scratch.
              It has 511 lines of code, 22 functions and 4 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed deep-trans and discovered the below as its top functions. This is intended to give you an instant insight into deep-trans implemented functionality, and help decide if they suit your requirements.
            • Prepares the training data for training
            • Create a vocabulary
            • Convert a text file to a list of tokens
            • Convert a word into a list of token ids
            • Return the path to the dev_enhn
            • Return the path to the RevEnn
            • Basic tokenizer
            Get all kandi verified functions for this library.

            deep-trans Key Features

            No Key Features are available at this moment for deep-trans.

            deep-trans Examples and Code Snippets

            Installation and Setup,,Download The Model and Vocabulary
            Pythondot img1Lines of Code : 14dot img1License : Permissive (MIT)
            copy iconCopy
            trained_model
                |_version_1.0
                        |_model_12_09_2016.zip
                        |_model_12_09_2016.tar
                |_version_0.1
                        |_model_9_08_2016.zip
                        |_model_9_08_2016.tar
            
            vocabulary
                |_version_1.0
                        |_vocab_12_09_2016.z  
            Training
            Pythondot img2Lines of Code : 2dot img2License : Permissive (MIT)
            copy iconCopy
            python transliterate.py --data_dir  --train_dir  --size=2 --num_layers= --steps_per_checkpoint=
            
            python transliterate.py --data_dir /home/ayushman/projects/transliterate/train_test_data/ --train_dir /home/ayushman/projects/transliterate/chkpnts/ --si  
            Installation and Setup,,Clone Repository
            Pythondot img3Lines of Code : 1dot img3License : Permissive (MIT)
            copy iconCopy
            git clone https://github.com/dashayushman/deep-trans.git
              

            Community Discussions

            QUESTION

            Issue using a conditional statement within a Lambda function in Pandas
            Asked 2021-Feb-04 at 07:55

            I am trying to translate all the columns called tweet_text in my dataset. I have about 100,000 rows of data and about 50% of that needs to be translated to English.

            The following code works but I am basically running the function to translate the tweets for every single row which takes nearly 2 hours.

            Note: x != " " checks if the tweets aren't empty strings as some of the tweets have just " " as I removed some of the emojis from them and that was all that was left.

            Link to deep-translator

            ...

            ANSWER

            Answered 2021-Feb-04 at 07:55
            • The code works fine with the sample provided, so additional rows have been added to the sample dataframe, which result in exceptions.
            • Write a function, with try - except to catch the invalid rows.
            • Note that the following code does not use import swifter, because it's a module used to speed up .apply, and wasn't needed for testing.

            Source https://stackoverflow.com/questions/66032621

            QUESTION

            How to deploy a Kivy app to Google App Store?
            Asked 2020-Aug-02 at 16:52

            Deploying a Kivy app to Google Play Store is a true pain. I spent over a week now trying to deploying the app to the Play Store, whereas I spent only 5 days developing it.

            After managing to overcome all problems during the build process with buildozer, I'm facing now another problem when I want to deploy my app to google store. This is the warning I'm getting:

            Unoptimised APK Warning:

            ...

            ANSWER

            Answered 2020-Aug-02 at 13:37

            As you guessed, the message you're seeing about using AAB is just a warning, it doesn't prevent you from releasing the app. You're far from the first person to be confused by it though, the google interface is quite unclear.

            The actual problem is that you need to make sure all the essential information is filled in on every page of the app store configuration. In your screenshot above, pages that have been completed are marked by a green circle with a check mark. In contrast, the "Store Listing" page only has a greyed-out check mark, indicating that you need to add something there before you can release the APK.

            As discussed in comments, it turned out that the missing thing was screenshots of the app, and after adding them it could be released successfully despite the warning message.

            Source https://stackoverflow.com/questions/63215371

            QUESTION

            Kivy app works fine in development but throwing error when generating a release
            Asked 2020-Aug-02 at 11:06

            I developed a kivy app and everything works perfectly on my laptop and on my android phone too (in debug mode). The next step is to make a release so that I can finally publish the app.

            I followed the instructions mentioned here to generate a release APK (generate a key etc..) and then I run

            ...

            ANSWER

            Answered 2020-Aug-02 at 11:06

            So after long debug sessions. I figure out that this error is due to me using dash in my buildozer.spec file. This is sort of weird but this was the bug.

            So if you are using any names with dash in it in the spec file, you need to remove it and run:

            Source https://stackoverflow.com/questions/62961424

            QUESTION

            Kivy app build successfully using buildozer but crashes when opened on android phone
            Asked 2020-Jul-16 at 15:38

            I'm building an app using kivy and it works perfectly on my Linux laptop. I build the app for android using buildozer and the log does not show any errors. When it was complete, the apk file is created in the bin folder.

            I then copy the apk file and paste it on my phone storage and then install the app.

            When I open the app, it shows the kivy logo and loading... but then it crashes! I tried the whole day to find a solution but I could not achieve that.

            I find this command while googling the problem and it should be helpful for debugging but I can't understand the output!:

            ...

            ANSWER

            Answered 2020-Jul-12 at 22:59

            Since the app is starting successfully, look in the logcat for lines containing the string "python". This will reveal the traceback:

            Source https://stackoverflow.com/questions/62865649

            QUESTION

            what is the correct way to put python version and requirements in buildozer spec file?
            Asked 2020-Jul-15 at 19:02

            This is really confusing when using buildozer to build kivy apps for android or IOS. The right way to put the dependencies and requirements in the buildozer spec file is not provided in the docs.

            Now I built an app using the kivy framework and i want to build an .apk file to deploy it on android. I'm using buildozer for building the apk file since it is the recommended way as shown in the docs.

            The app run perfeclty on my laptop and the buildozer logs show no errors, in fact it gives me a success build at the end of the job. Unfortunatly, the app crashes after deploying the apk file on my android phone and installing it. the UI is not shown at all, the app crashes directly after I click on the icon.

            Since there are no log errors, I'm assuming this have something to do with how I'm building the app or more accurately the buildozer spec file. This is my buildozer spec file:

            ...

            ANSWER

            Answered 2020-Jul-15 at 19:02

            what is the correct way to put python version and requirements in buildozer spec file?

            The direct answer to this is "the way you have done it" using the buildozer.spec line requirements = hostpython3==3.7.8,python3==3.7.8. The only caveat is that not all minor python versions will necessarily work, I don't know if 3.7.8 is good. If possible it's better to let the defaults be used, in this case this will use Python 3.8 (but you'll need to clean the build and run again to make this happen). However, the main issues you'd have with a bad minor version would lead to failed compilation, so this probably isn't your problem.

            Your question is clearly really getting at "why is my app crashing?". I suggest asking that question separately and including the full logcat output. This is likely to be more productive than guessing a cause and asking about that.

            Source https://stackoverflow.com/questions/62919679

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

            Vulnerabilities

            No vulnerabilities reported

            Install deep-trans

            Download the pre-trained model from here and extract the model files to any folder in your system. The folder structure for models looks something like the following,
            Download the vocabulary from here and extract the vocabulary files to any folder in your system. The folder structure for vocabulary looks something like the following,

            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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            CLONE
          • HTTPS

            https://github.com/dashayushman/deep-trans.git

          • CLI

            gh repo clone dashayushman/deep-trans

          • sshUrl

            git@github.com:dashayushman/deep-trans.git

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