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Register a new userData augmentation for low-resource grapheme-to-phoneme mapping
تكبير البيانات للحصول على رسم الخرائط Grapheme-To-Vooneme منخفضة
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في هذه الورقة، نستكشف مقاربة عصبية بسيطة للغاية لتعيين تقويم الإملاءات إلى النسخ الصوتي في سياق منخفض الموارد.الفكرة الأساسية هي البدء من نظام أساسي وتركيز جميع الجهود بشأن تكبير البيانات.سوف نرى أن بعض التقنيات تعمل، ولكن البعض الآخر لا.
In this paper we explore a very simple neural approach to mapping orthography to phonetic transcription in a low-resource context. The basic idea is to start from a baseline system and focus all efforts on data augmentation. We will see that some techniques work, but others do not.
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