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word-embeddings

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cambridgeltl / ContrastiveBLI

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Improving Word Translation via Two-Stage Contrastive Learning (ACL 2022). Keywords: Bilingual Lexicon Induction, Word Translation, Cross-Lingual Word Embeddings.

information-retrieval machine-translation word-embeddings pytorch self-learning word-alignment bilingual-word-embedding bilingual-lexicon-extraction fasttext-embeddings cross-lingual-embeddings mbert contrastive-learning low-resource-machine-translation bilingual-lexicon-induction cross-lingual-word-embedding word-translation cross-lingual-word-embeddings bilingual-dictionary-induction
  • Updated Jun 24, 2024
  • Python

areeba0 / English-to-French-Translation-using-NLTK-and-Hugging-Face-Transformers-MarianMTModel

Star 1

This repository provides a complete workflow for text processing using Hugging Face Transformers and NLTK. It includes modules for sentence normalization, spelling correction, word embedding generation, positional encoding computation, and English-to-French translation

python nlp word-embeddings jupyter-notebook nltk text-normalization positional-encoding huggingface-transformers english-to-french-translation
  • Updated Jun 18, 2024
  • Jupyter Notebook

vlada-pv / Prediction-Sociolinguistic-Data-Based-on-the-Diaries-Texts-of-the-Prozhito-Project

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The repository contains notebooks created for collecting and preprocessing the corpus of diary entries and for experiments on creating models for predicting gender, age groups of authors and the time period of text creation.

deep-learning word-embeddings recurrent-neural-networks naive-bayes-classifier neural-networks bag-of-words logistic-regression convolutional-neural-networks diary-entries sociolinguistics text-vectorization bilstm tf-idf-vectorizer text-preprocessing convol author-profiling
  • Updated Jun 12, 2024
  • Jupyter Notebook

gopiashokan / Financial-Document-Classification-using-Deep-Learning

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Developed a deep learning model utilizing TensorFlow to automate the classification of financial documents. Leveraging a Bidirectional LSTM RNN, we accurately categorize the documents. Our user-friendly Streamlit application ensures high accuracy & efficiency in document management, all deployed on the Hugging Face platform for seamless integration

nlp finance machine-learning natural-language-processing deep-learning neural-network tensorflow text model word-embeddings keras financial recurrent-neural-networks lstm classification document data-pipeline bidirectional-lstm huggingface streamlit
  • Updated Jun 10, 2024
  • HTML

razamehar / IMDB-Sentiment-Analysis-BoW-S2S-Models

Star 0

Sentiment analysis on the IMDB dataset using Bag of Words models (Unigram, Bigram, Trigram, Bigram with TF-IDF) and Sequence to Sequence models (one-hot vectors, word embeddings, pretrained embeddings like GloVe, and transformers with positional embeddings).

python sentiment-analysis tensorflow word-embeddings bag-of-words glove-embeddings sequence-to-sequence-models imdb-dataset transformer-architecture term-frequency-inverse-document-frequency one-hot-encoded-vectors
  • Updated Jun 4, 2024
  • Jupyter Notebook

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