👉 What do we do? We use the good old IBM1 model to align subwords with morphological features from Unimorph and we show it captures the same thing as morpheme boundary recall. 👉 Why it matters? For many languages good segmentation data is missing. Morphological features are more widely available.

We (= mostly @abyste.bsky.social) developed a way to evaluate how morphological a #tokenization is w/o gold segmentation labels. arxiv.org/abs/2601.18536 The key: align subword tokens with morphological features from UniMorph using IBM Model 1. To appear in EACL 2026 Findings.