versions/1.8.0/api/python/docs/_sources/tutorials/packages/gluon/text/index.rst

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Text Tutorials
==============

These tutorials will help you learn how to create and use models that work with text and other natural language processing tasks.

Word Embedding
--------------

.. container:: cards

   .. card::
      :title: Pre-trained Word Embeddings
      :link: https://gluon-nlp.mxnet.io/examples/word_embedding/word_embedding.html

      Basics on how to use word embedding with vocab in GluonNLP and apply it on word similarity and analogy problems.

   .. card::
      :title: Word Embeddings Training and Evaluation
      :link: https://gluon-nlp.mxnet.io/examples/word_embedding/word_embedding_training.html

      Learn how to train fastText and word2vec embeddings on your own dataset, and determine embedding quality through intrinsic evaluation.

Language Model
--------------


.. container:: cards

   .. card::
      :title: LSTM-based Language Models
      :link: https://gluon-nlp.mxnet.io/examples/language_model/language_model.html

      Learn what a language model is, what it can do, and how to train a word-level language model with truncated back-propagation-through-time (BPTT).

Machine Translation
-------------------

.. container:: cards

   .. card::
      :title: Google Neural Machine Translation
      :link: https://gluon-nlp.mxnet.io/examples/machine_translation/gnmt.html

      Learn how to train Google Neural Machine Translation, a seq2seq with attention model.

   .. card::
      :title: Machine Translation with Transformer
      :link: https://gluon-nlp.mxnet.io/examples/machine_translation/transformer.html

      Learn how to use a pre-trained transformer translation model for English to German translation.

Sentence Embedding
---------------------

.. container:: cards

   .. card::
      :title: ELMo: Deep Contextualized Word Representations
      :link: https://gluon-nlp.mxnet.io/examples/sentence_embedding/elmo_sentence_representation.html

      See how to use GluonNLP’s model API to automatically download the pre-trained ELMo model from NAACL2018 best paper, and extract features with it.

   .. card::
      :title: A Structured Self-attentive Sentence Embedding
      :link: https://gluon-nlp.mxnet.io/examples/sentence_embedding/self_attentive_sentence_embedding.html

      See how to use GluonNLP to build more advanced model structure for extracting sentence embeddings to predict Yelp review rating.

   .. card::
      :title: BERT: Bidirectional Encoder Representations from Transformers
      :link: https://gluon-nlp.mxnet.io/examples/sentence_embedding/bert.html

      See how to use GluonNLP to fine-tune a sentence pair classification model with pre-trained BERT parameters.

Sentiment Analysis
------------------

.. container:: cards

   .. card::
      :title: Sentiment Analysis by Fine-tuning Word Language Model
      :link: https://gluon-nlp.mxnet.io/examples/sentiment_analysis/sentiment_analysis.html

      See how to fine-tune a pre-trained language model to perform sentiment analysis on movie reviews.

Sequence Sampling
-----------------

.. container:: cards

   .. card::
      :title: Sequence Generation with Sampling and Beam Search
      :link: https://gluon-nlp.mxnet.io/examples/sequence_sampling/sequence_sampling.html

      Learn how to generate sentence from pre-trained language model through sampling and beam search. 

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