In previosly posts you suggess to watch this 2 links for alignment features supported by OpenNMT
if i’m right the pytorch have more complicated options for alignment, like -lambda_align, -alignment_layer, -alignment_heads, -full_context_alignment. But for tf just setup additional dataset block & thats all.
Can i manage alignment training in tf like in pt?
The implementations are based on different papers so the options are also different.
OpenNMT-tf implements the original guided alignment paper:
while OpenNMT-py implements a more recent paper:
The state of the art in machine translation (MT) is governed by neural
approaches, which typically provide superior translation accuracy over
statistical approaches. However, on the closely related task of word alignment,
traditional statistical word...
Thx for papers.
Is someone retrain unaligned model on data with alignment for get it alingned? Does it make sense …