| .. currentmodule:: pythainlp.augment |
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| pythainlp.augment |
| ================= |
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| Introduction |
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| The `pythainlp.augment` module is a powerful toolset for text augmentation in the Thai language. Text augmentation is a process that enriches and diversifies textual data by generating alternative versions of the original text. This module is a valuable resource for improving the quality and variety of Thai language data for NLP tasks. |
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| TextAugment Class |
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| The central component of the `pythainlp.augment` module is the `TextAugment` class. This class provides various text augmentation techniques and functions to enhance the diversity of your text data. It offers the following methods: |
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| .. autoclass:: pythainlp.augment.TextAugment |
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| WordNetAug Class |
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| The `WordNetAug` class is designed to perform text augmentation using WordNet, a lexical database for English. This class enables you to augment Thai text using English synonyms, offering a unique approach to text diversification. The following methods are available within this class: |
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| .. autoclass:: pythainlp.augment.WordNetAug |
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| Word2VecAug, Thai2fitAug, LTW2VAug Classes |
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| The `pythainlp.augment.word2vec` package contains multiple classes for text augmentation using Word2Vec models. These classes include `Word2VecAug`, `Thai2fitAug`, and `LTW2VAug`. Each of these classes allows you to use Word2Vec embeddings to generate text variations. Explore the methods provided by these classes to understand their capabilities. |
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| .. autoclass:: pythainlp.augment.word2vec.Word2VecAug |
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| .. autoclass:: pythainlp.augment.word2vec.Thai2fitAug |
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| .. autoclass:: pythainlp.augment.word2vec.LTW2VAug |
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| FastTextAug and Thai2transformersAug Classes |
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| The `pythainlp.augment.lm` package offers classes for text augmentation using language models. These classes include `FastTextAug` and `Thai2transformersAug`. These classes allow you to use language model-based techniques to diversify text data. Explore their methods to understand their capabilities. |
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| .. autoclass:: pythainlp.augment.lm.FastTextAug |
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| .. autoclass:: pythainlp.augment.lm.Thai2transformersAug |
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| BPEmbAug Class |
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| The `pythainlp.augment.word2vec.bpemb_wv` package contains the `BPEmbAug` class, which is designed for text augmentation using subword embeddings. This class is particularly useful when working with subword representations for Thai text augmentation. |
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| .. autoclass:: pythainlp.augment.word2vec.bpemb_wv.BPEmbAug |
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| Additional Functions |
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| To further enhance your text augmentation tasks, the `pythainlp.augment` module offers the following functions: |
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| - `postype2wordnet`: This function maps part-of-speech tags to WordNet-compatible POS tags, facilitating the integration of WordNet augmentation with Thai text. |
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| These functions and classes provide diverse techniques for text augmentation in the Thai language, making this module a valuable asset for NLP researchers, developers, and practitioners. |
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| For detailed usage examples and guidelines, please refer to the official PyThaiNLP documentation. The `pythainlp.augment` module opens up new possibilities for enriching and diversifying Thai text data, leading to improved NLP models and applications. |
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