WebMultilingual pre-trained language models, such as mBERT and XLM-R, have shown impressive cross-lingual ability. Surprisingly, both of them use multilingual masked … WebSep 9, 2024 · TL;DR: This article propose Multi-lingual language model Fine-Tuning (MultiFiT) to enable practitioners to train and fine-tune language models efficiently in their own language, and they also propose a zero-shot method using an existing pre-trained crosslingual model. Abstract: Pretrained language models are promising particularly …
On the Cross-lingual Transferability of Monolingual Representations ...
Weblingual masked language model dubbed XLM-R XL and XLM-R XXL, with 3.5 and 10.7 billion parame-ters respectively, significantly outperform the previ-ous XLM-R model on cross-lingual understanding benchmarks and obtain competitive performance with the multilingual T5 models (Raffel et al.,2024; Xue et al.,2024). We show that they can … Web2.1 Cross-lingual Language Model Pretraining A cross-lingual masked language model, which can encode two monolingual sentences into a shared latent space, is first trained. The pretrained cross-lingual encoder is then used to initialize the whole UNMT model (Lample and Conneau,2024). Com-pared with previous bilingual embedding pretrain- super sus mod menu v4
Alternating Language Modeling for Cross-Lingual Pre …
WebApr 12, 2024 · The BERT multilingual base model (cased) is a BERT model that has been pre-trained on 104 languages, with a gigantic Wikipedia corpus using a masked language modelling (MLM) objective. Similarly, the BERT base model (cased) is another pre-trained model, trained on the English language. WebMar 21, 2024 · We study the problem of multilingual masked language modeling, i.e. the training of a single model on concatenated text from multiple languages, and present a detailed study of several factors that influence why these models are so effective for cross-lingual transfer. We show, contrary to what was previously hypothesized, that transfer is ... Web虽然现有的大部分工作都集中在单语prompt上，但研究了多语言PLM的多语言prompt，尤其是在zero-shot setting下。为了减轻为多种语言设计不同prompt的工作量，我们提出了一种新的模型，该模型对所有语言使用统一的提示，称为UniPrompt。与离散prompt和soft-prompt不同，UniPrompt是基于模型的而与语言无关的。 barbearia 1989 montenegro