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How to create a language translator from scratch?
Is it possible to identify different queries/questions in sentence?How to check if sentiment analysis is required?Identifying software and version range in a sentenceCreating the optimal set of utterances to train a natural language processing engineHow to create domain rules from raw unstructured text using NLP and deep learning?word/sentence alignment for English documentHow to create clusters based on sentence similarity?Architecture for linear regression with variable input where each input is n-sized one-hot encodedsentence patterns/rules/formulas for imperative sentences …How to find similar meaning log messages in the source code?
$begingroup$
I want to create a translator which can translate English, Korean and Tamil sentences into English sentence, I tried googletrans but is there any way to create something better than that using DL and NLP techniques?
deep-learning nlp recurrent-neural-net machine-translation nlg
asked yesterday
Isaac PatoleIsaac Patole
61
New contributor
Isaac Patole is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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$endgroup$
add a comment |
$begingroup$
I want to create a translator which can translate English, Korean and Tamil sentences into English sentence, I tried googletrans but is there any way to create something better than that using DL and NLP techniques?
deep-learning nlp recurrent-neural-net machine-translation nlg
asked yesterday
Isaac PatoleIsaac Patole
61
New contributor
Isaac Patole is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
add a comment |
$begingroup$
I want to create a translator which can translate English, Korean and Tamil sentences into English sentence, I tried googletrans but is there any way to create something better than that using DL and NLP techniques?
deep-learning nlp recurrent-neural-net machine-translation nlg
asked yesterday
Isaac PatoleIsaac Patole
61
New contributor
Isaac Patole is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
I want to create a translator which can translate English, Korean and Tamil sentences into English sentence, I tried googletrans but is there any way to create something better than that using DL and NLP techniques?
deep-learning nlp recurrent-neural-net machine-translation nlg
deep-learning nlp recurrent-neural-net machine-translation nlg
asked yesterday
Isaac PatoleIsaac Patole
61
New contributor
Isaac Patole is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked yesterday
Isaac PatoleIsaac Patole
61
New contributor
Isaac Patole is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked yesterday
Isaac PatoleIsaac Patole
61
New contributor
Isaac Patole is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked yesterday
Isaac PatoleIsaac Patole
61
asked yesterday
Isaac PatoleIsaac Patole
61
61
New contributor
Isaac Patole is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
Isaac Patole is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
Isaac Patole is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
add a comment |
add a comment |
1 Answer
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$begingroup$
Google translate itself uses Deep learning to translate sentences which can be seen here.
You can translate sentences across languages for which you need two things :
- A large dataset which has pairs of translations ( like English-French ). You can find such a dataset from here.
- A sequence-to-sequence RNN model. They have Encoder-Decoder architecture which encodes the source sentence into a thought vector and then decode it to form the translation. This image may be helpful.
The picture shows the Neural Machine Translation adopted by Google.
Also, TensorFlow and Keras help in creating such deep learning models. You can refer to this blog from the author of Keras. These models ( seq2seq ) have gained popularity in text summarization, NMT, and other sequence-to-sequence tasks.
If you wish to create a full-scale production ready language translator then you will need a GPU as these models are heavy to train as well as a very large corpus of text.
answered yesterday
Shubham PanchalShubham Panchal
2575
$endgroup$
add a comment |
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1 Answer
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active
oldest
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1 Answer
1
active
oldest
votes
active
oldest
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active
oldest
votes
$begingroup$
Google translate itself uses Deep learning to translate sentences which can be seen here.
You can translate sentences across languages for which you need two things :
- A large dataset which has pairs of translations ( like English-French ). You can find such a dataset from here.
- A sequence-to-sequence RNN model. They have Encoder-Decoder architecture which encodes the source sentence into a thought vector and then decode it to form the translation. This image may be helpful.
The picture shows the Neural Machine Translation adopted by Google.
Also, TensorFlow and Keras help in creating such deep learning models. You can refer to this blog from the author of Keras. These models ( seq2seq ) have gained popularity in text summarization, NMT, and other sequence-to-sequence tasks.
If you wish to create a full-scale production ready language translator then you will need a GPU as these models are heavy to train as well as a very large corpus of text.
answered yesterday
Shubham PanchalShubham Panchal
2575
$endgroup$
add a comment |
$begingroup$
Google translate itself uses Deep learning to translate sentences which can be seen here.
You can translate sentences across languages for which you need two things :
- A large dataset which has pairs of translations ( like English-French ). You can find such a dataset from here.
- A sequence-to-sequence RNN model. They have Encoder-Decoder architecture which encodes the source sentence into a thought vector and then decode it to form the translation. This image may be helpful.
The picture shows the Neural Machine Translation adopted by Google.
Also, TensorFlow and Keras help in creating such deep learning models. You can refer to this blog from the author of Keras. These models ( seq2seq ) have gained popularity in text summarization, NMT, and other sequence-to-sequence tasks.
If you wish to create a full-scale production ready language translator then you will need a GPU as these models are heavy to train as well as a very large corpus of text.
answered yesterday
Shubham PanchalShubham Panchal
2575
$endgroup$
add a comment |
$begingroup$
Google translate itself uses Deep learning to translate sentences which can be seen here.
You can translate sentences across languages for which you need two things :
- A large dataset which has pairs of translations ( like English-French ). You can find such a dataset from here.
- A sequence-to-sequence RNN model. They have Encoder-Decoder architecture which encodes the source sentence into a thought vector and then decode it to form the translation. This image may be helpful.
The picture shows the Neural Machine Translation adopted by Google.
Also, TensorFlow and Keras help in creating such deep learning models. You can refer to this blog from the author of Keras. These models ( seq2seq ) have gained popularity in text summarization, NMT, and other sequence-to-sequence tasks.
If you wish to create a full-scale production ready language translator then you will need a GPU as these models are heavy to train as well as a very large corpus of text.
answered yesterday
Shubham PanchalShubham Panchal
2575
$endgroup$
Google translate itself uses Deep learning to translate sentences which can be seen here.
You can translate sentences across languages for which you need two things :
- A large dataset which has pairs of translations ( like English-French ). You can find such a dataset from here.
- A sequence-to-sequence RNN model. They have Encoder-Decoder architecture which encodes the source sentence into a thought vector and then decode it to form the translation. This image may be helpful.
The picture shows the Neural Machine Translation adopted by Google.
Also, TensorFlow and Keras help in creating such deep learning models. You can refer to this blog from the author of Keras. These models ( seq2seq ) have gained popularity in text summarization, NMT, and other sequence-to-sequence tasks.
If you wish to create a full-scale production ready language translator then you will need a GPU as these models are heavy to train as well as a very large corpus of text.
answered yesterday
Shubham PanchalShubham Panchal
2575
answered yesterday
Shubham PanchalShubham Panchal
2575
answered yesterday
Shubham PanchalShubham Panchal
2575
answered yesterday
Shubham PanchalShubham Panchal
2575
2575
add a comment |
add a comment |
Isaac Patole is a new contributor. Be nice, and check out our Code of Conduct.
Isaac Patole is a new contributor. Be nice, and check out our Code of Conduct.
Isaac Patole is a new contributor. Be nice, and check out our Code of Conduct.
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