Recurrent Neural Network Based Language Model PDF

We propose Universal Language Model. Fine-tuning (ULMFiT) an effective trans- fer learning method that can be applied to any task in NLP

A Neural Probabilistic Language Model

A goal of statistical language modeling is to learn the joint probability function of sequences of words in a language. This is intrinsically difficult because

Cross-lingual Language Model Pretraining

We show that cross-lingual language models can provide significant improvements on the perplexity of low-resource languages. 5. We make our code and pretrained

Variable-Length Sequence Language Model for Large Vocabulary

19 oct. 2006 One of the most successful language models used in speech recognition is the n-gram model which assumes that the statistical dependencies ...

When Being Unseen from mBERT is just the Beginning: Handling

Handling New Languages With Multilingual Language Models. Benjamin Muller†*. Antonios Anastasopoulos‡ tation experiments to get usable language model-.

Enhancing lexical cohesion measure with confidence measures

30 nov. 2011 Enhancing lexical cohesion measure with confidence measures semantic relations and language model interpolation for multimedia spoken con-.

Release of largest trained open-science multilingual language

12 juil. 2022 BLOOM is the largest multilingual language model to be trained 100% openly and transparently. AI models of its kind.