4 months ago
JB132 submission to the SIGMORPHON 2022 Shared Task 3 on Morphological Segmentation
JB132 submission to the SIGMORPHON 2022 Shared Task 3 on Morphological Segmentation
{Jan Bodnár}
Abstract
This paper describes the JB132 submission to the SIGMORPHON 2022 Shared Task 3 on Morpheme Segmentation. In this paper we describe probabilistic model trained with the Expectation-Maximization algorithm, we provide the results and analyze sources of errors and general limitations of our approach. The model was implemented within our own modular probabilistic framework.
Benchmarks
| Benchmark | Methodology | Metrics |
|---|---|---|
| morpheme-segmentaiton-on-unimorph-4-0 | HMM (JB132; trained w EM) | macro avg (subtask 1): 58.39 |
Build AI with AI
From idea to launch — accelerate your AI development with free AI co-coding, out-of-the-box environment and best price of GPUs.
AI Co-coding
Ready-to-use GPUs
Best Pricing
Hyper Newsletters
Subscribe to our latest updates
We will deliver the latest updates of the week to your inbox at nine o'clock every Monday morning
Powered by MailChimp