N-gram Injection into Transformers for Dynamic Language Model Adaptation in Handwritten Text Recognition

ArXi:2603.03930v2 Announce Type: replace Transformer-based encoder-decoder networks have recently achieved impressive results in handwritten text recognition, partly thanks to their auto-regressive decoder which implicitly learns a language model. However, such networks suffer from a large performance drop when evaluated on a target corpus whose language distribution is shifted from the source text seen during