Unsupervised Morphological Relatedness
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2016, Vol 7, Issue 10
Abstract
Assessment of the similarities between texts has been studied for decades from different perspectives and for several purposes. One interesting perspective is the morphology. This article reports the results on a study on the assessment of the morphological relatedness between natural language words. The main idea is to adapt a formal string alignment algorithm namely Needleman-Wunsch’s to accommodate the statistical char-acteristics of the words in order to approximate how similar are the linguistic morphologies of the two words. The approach is unsupervised from end to end and the experiments show an nDCG reaching 87% and an r-precision reaching 81%.
Authors and Affiliations
Ahmed Khorsi, Abeer Alsheddi
Keywords
Related Articles
- EP ID EP91026
- DOI 10.14569/IJACSA.2016.071047
- Views 156
- Downloads 0
A Multi-Level Process Mining Framework for Correlating and Clustering of Biomedical Activities using Event Logs
Cost, time and resources are major factors affecting the quality of hospitals business processes. Bio-medical processes are twisted, unstructured and based on time series making it difficult to do proper process modeling...
Economical Motivation and Benefits of using Load Shedding in Energy Management Systems
With declining fossil fuel consumption and rising energy demand for renewable energy, the need for integration of these highly predictable sources into the electricity system increases. At the same time, there is a rise...
Software-Defined Networks (SDNs) and Internet of Things (IoTs): A Qualitative Prediction for 2020
The Internet of Things (IoT) is imminent technology grabbing industries and research attention with a fast stride. Currently, more than 15 billion devices are connected to the Internet and this number is expected to reac...
Impact of External Disturbance and Discontinuous Input on the Redundant Manipulator Robot Behaviour using the Linear Parameter Varying Modelling Approach
This paper is concerned with the synthesis of dynamic model of the redundant manipulator robot based on Linear Parameter Varying approach. To evaluate its behavior and in presence of external disturbance several motions...
Hybrid Multi-faceted Computational Trust Model for Online Social Network (OSN)
Online Social Network (OSN) is an online social platform that enables people to exchange information, get in touch with family members or friends, and also helps as a marketing tool. However, OSN suffers from various sec...