Morfessor in the Morpho Challenge

By Mathias Creutz, Krista Lagus. 2006

Subfields: Computational Linguistics & Semantics

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computational Linguistics & Semantics

1. Ivan Provilkov
2. Dmitrii Emelianenko
3. Elena Voita
4. Pushpak Bhattacharyya
5. Tamali Banerjee

Citations in the corpus

• BPE-Dropout: Simple and Effective Subword Regularization (2019, methodology): “Other segmentation algorithms include Creutz and Lagus (2006), Schuster and Nakajima (2012), Chitnis and DeNero (2015), Kunchukuttan and Bhattacharyya (2016), Wu and Zhao (2018), Banerjee and Bhattacharyya (2018).”
• Meaningless yet meaningful: Morphology grounded subword-level NMT (2018, methodology): “The idea behind our proposed combined approach M-BPE comes from comparing BPE and Morfessor.”