Grapheme-level Awareness in Word Embeddings for Morphologically Rich Languages (L18-1)
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| Challenge: | a study of inflectional and non-alphabetic languages shows word vectors are sparse in data sparsity due to the morphological system of a language and its syllables. |
| Approach: | They propose a grapheme-level coding procedure for neural word embedding that uses syllable characters to represent word-internal features. |
| Outcome: | The proposed model is more capable of representing functional and semantic similarities than syllable-level and word-level models. |
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