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Encoder-Decoder Model for Neural Machine Translation, by Ramaseshan R

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Evaluation of Word Vectors, by Ramaseshan R

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Statistical Properties of Words-Part 03, by Ramaseshan R

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Correlated Occurence Analogue to Lexical Semantic-COALS, by Ramaseshan R

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Preprocessing, by Ramaseshan R

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Probability and NLP, by Ramaseshan R

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RNN-Based Language Model, by Ramaseshan R

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Typical NMT Architecture Architecture and Models for Multi-Language Translation, by Ramaseshan R

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Co-Occurence Matrix, N-Grams, by Ramaseshan R

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Gradient Descent, by Ramaseshan R

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Out of Vocabulary Words and Curse of Dimensionality, by Ramaseshan R

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ANN as a LM and its Limitations, by Ramaseshan R

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Introduction to Probability in the Context of NLP, by Ramaseshan R

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Alignments Again!, by Ramaseshan R

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Introduction, by Ramaseshan R

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BLEU Demo Using NLTK and other Metrics, by Ramaseshan R

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The Definition of Probabilistic Language Model, by Ramaseshan R

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BPTT-Forward Pass, by Ramaseshan R

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Linear Models for Claassification, by Ramaseshan R

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Activation Functions, by Ramaseshan R

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Vector Representation of Words, by Ramaseshan R

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Contextual Understanding of Text, by Ramaseshan R

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IBM Model 2, by Ramaseshan R

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Document Similarity-Demo, Inverted Index, Exercise, by Ramaseshan R

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CBOW and Skip Gram Models, by Ramaseshan R

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BLEU-“A Short discussion of the Seminal Paper”, by Ramaseshan R

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Perceptron, by Ramaseshan R

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A few Examples in Conversation Modeling, by Ramaseshan R

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Why Word2Vec?, by Ramaseshan R

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Discussion of some Ideas in Question Answering, by Ramaseshan R

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