Description
Sequences or text units can be aligned with a many-to-many model for language and data-processing experiments. It is useful for researchers and developers working on transliteration, normalization, or NLP pipelines that need flexible alignment.
This is a specialist command-line tool. Results depend on training data, model assumptions, and input quality, so review alignments before using them in production datasets.