eng-syl 0.2.5

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# English Syllabifier (Eng_Syl)

This Python package defines a wordSegmenter Class that can syllabify English words! The class uses a Bidirectional LSTM seq2seq model trained on data from the Celex database to provide a best guess segmentation of any given English word.

Usage

Initialize a Segmenter with

from eng_syl import wordSegmenter
syllabifier = wordSegmenter()

Build the inference model by building the base model, loading weights, and building the final model.

	syllabifier.build_training_model()
	syllabifier.load_model_weights()
	syllabifer.build_inference_model()

Translate

After the inference model is built, segment words with syllabifier.translate()

    segmented_string = syllabifier.translate("syllable")
    print(segmented_string)
	
	"syl-la-ble"