Papers with Text normalization
Neural Text Normalization with Subword Units (N19-2)
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| Challenge: | Text normalization (TN) is an important step in conversational systems. |
| Approach: | They frame text normalization as a machine translation task and tackle it with sequence-to-sequence models. |
| Outcome: | The proposed model normalizes written text to its spoken form to facilitate speech recognition and text-to-speech synthesis. |
Benefits of Data Augmentation for NMT-based Text Normalization of User-Generated Content (D19-55)
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| Challenge: | Social media texts are considered important language resources for several NLP tasks, but their use of non-standard words makes it difficult to process and analyze UGC. |
| Approach: | They propose to use a Neural Machine Translation approach to normalize lexical variants to their canonical forms to overcome performance drop in UGC. |
| Outcome: | The proposed approach overcomes a data bottleneck in Dutch, a low-resource language. |
Utilizing Character and Word Embeddings for Text Normalization with Sequence-to-Sequence Models (D18-1)
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| Challenge: | Recent advances in text normalization have limited applications in other languages . a novel approach to text normalizing uses character embeddings and word embedds . |
| Approach: | They propose a sequence-to-sequence model with character-based attention that uses pre-trained word embeddings to model subword information. |
| Outcome: | The proposed model achieves state-of-the-art F1 score on Arabic spelling correction task despite being small and unsuited for the task. |
Developing Resources for Automated Speech Processing of Quebec French (2020.lrec-1)
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| Challenge: | acoustic models for automatic segmentation of Quebec French are not available for all languages . linguistic resources are developed to perform phonetic annotations in Quebec French . physical characteristics of speech can be observed in the production of sounds . |
| Approach: | They propose to use a French lexicon to train automatic QF segmentation models . they adapt existing pronunciation dictionary and acoustic model from existing ones . |
| Outcome: | The proposed tools perform the full process of speech segmentation in Quebec French. |