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Register a new userSpecializing Multilingual Language Models: An Empirical Study
متخصصة نماذج لغة متعددة اللغات: دراسة تجريبية
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أصبحت نماذج اللغة متعددة اللغات المحددة مسبقا أداة شائعة في تحويل قدرات NLP إلى لغات الموارد المنخفضة، وغالبا مع التعديلات.في هذا العمل، ندرس أداء، قابلية القابلية للضغط، والتفاعل بين اثنين من هذه التكيفات: تكبير المفردات وتروية النصوص.تقييماتنا حول العلامات بين الكلام، تحليل التبعية الشامل، والاعتراف الكياري المسمى في تسعة لغات متنوعة منخفضة الموارد تدعم صلاحية هذه الأساليب مع رفع أسئلة جديدة حول كيفية تكييف النماذج متعددة اللغات على النحو الأمثل إلى إعدادات الموارد المنخفضة.
Pretrained multilingual language models have become a common tool in transferring NLP capabilities to low-resource languages, often with adaptations. In this work, we study the performance, extensibility, and interaction of two such adaptations: vocabulary augmentation and script transliteration. Our evaluations on part-of-speech tagging, universal dependency parsing, and named entity recognition in nine diverse low-resource languages uphold the viability of these approaches while raising new questions around how to optimally adapt multilingual models to low-resource settings.
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