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1. stackoverflow.com › questions › 54746745nlp - Glove Word Embeddings supported languages - Stack Overflow

   stackoverflow.com › questions › 54746745

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   18 Φεβ 2019 · nlp.stanford.edu/projects/glove has links to source data for their pre-trained word vectors. The main ones seem to be exclusively in English but I have not looked at the actual data. I suppose the Common Crawl data for example could include other languages.

2. github.com › urduhack › urdu-wordsGitHub - urduhack/urdu-words: A text file containing 150,000 Urdu...

   github.com › urduhack › urdu-words

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   150k+ unique Urdu words collections. Consists of text files containing 150k+ Urdu words for all your dictionary/word-based projects e.g: auto-completion / autosuggestion / Embedding networks / Tagging.

3. github.com › toqeerehsan › Urdu-Word2Vec-Embeddingstoqeerehsan/Urdu-Word2Vec-Embeddings - GitHub

   github.com › toqeerehsan › Urdu-Word2Vec-Embeddings

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   Urdu Word2Vec Embeddings. Word2Vec embeddings are trained on a plain Urdu corpus of 220 million tokens. The respository contains the trained embeddings with dimenstion size of 100, 200 and 300. The vocabulary size is 125,622. Download.

4. www.geeksforgeeks.org › pre-trained-word-embedding-using-glove-in-nlp-modelsPre-trained Word embedding using Glove in NLP models

   www.geeksforgeeks.org › pre-trained-word-embedding-using-glove-in-nlp-models

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   3 Ιαν 2024 · GloVe embeddings can be used to represent words in the source and target languages in machine translation systems, which aim to translate text from one language to another, thereby enhancing the quality of the translation.

5. medium.com › @martinpella › how-to-use-pre-trained-word-embeddings-in-pytorch-71caHow to use Pre-trained Word Embeddings in PyTorch - Medium

   medium.com › @martinpella › how-to-use-pre-trained-word-embeddings-in-pytorch-71ca

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   24 Μαρ 2018 · In this post we will learn how to use GloVe pre-trained vectors as inputs for neural networks in order to perform NLP tasks in PyTorch.

6. keras.io › examples › nlpUsing pre-trained word embeddings - Keras

   keras.io › examples › nlp

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   5 Μαΐ 2020 · In this example, we show how to train a text classification model that uses pre-trained word embeddings. We'll work with the Newsgroup20 dataset, a set of 20,000 message board messages belonging to 20 different topic categories. For the pre-trained word embeddings, we'll use GloVe embeddings.

7. translate.google.com.pkGoogle Translate

   translate.google.com.pk

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   Translate. Google's service, offered free of charge, instantly translates words, phrases, and web pages between English and over 100 other languages.