قارن الطرق

	شبكة بيرسيبترون متعددة الطبقات متعددة اللغات	الشبكة العصبية المتكررة متعددة اللغات (Multilingual RNN)
المجال	التعلم العميق	التعلم العميق
العائلة	Machine learning	Machine learning
سنة النشأة	2010s	1990–2010s
صاحب الطريقة	McCulloch & Pitts / Rumelhart et al. (MLP); multilingual application became standard in NLP from the 2010s onward	Elman, J. L. (RNN); multilingual extension by NLP community
النوع	Feedforward neural network (multilingual variant)	Sequential model (cross-lingual)
المصدر التأسيسي	Artetxe, M., & Schwartz, H. A. (2019). Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond. Transactions of the Association for Computational Linguistics, 7, 597–610.	Elman, J. L. (1990). Finding structure in time. Cognitive Science, 14(2), 179–211.
الأسماء البديلة	Multilingual MLP, cross-lingual MLP, multilingual feedforward network, multilingual FFNN	Multilingual RNN, Cross-lingual RNN, Multi-language RNN, MRNN
ذات صلة	4	5
الملخص	A Multilingual MLP is a feedforward neural network trained on text from two or more languages, relying on shared or aligned input representations — such as multilingual word embeddings or subword vocabularies — so that a single model can process and classify text across languages without separate per-language networks.	A Multilingual Recurrent Neural Network (Multilingual RNN) applies the standard RNN architecture — which processes sequences step by step while maintaining a hidden state — to data spanning two or more languages. By training on multilingual corpora or sharing parameters across languages, the model learns cross-lingual sequence representations useful for translation, tagging, classification, and language modeling tasks.