Search Results for author:
Found 4 papers, 0 papers with code
Language-Independent Approach for Morphological Disambiguation
This paper presents a language-independent approach for morphological disambiguation which has been regarded as an extension of POS tagging, jointly predicting complex morphological tags.
Neural Named Entity Recognition for Kazakh
We present several neural networks to address the task of named entity recognition for morphologically complex languages (MCL).
Voted-Perceptron Approach for Kazakh Morphological Disambiguation
This paper presents an approach of voted perceptron for morphological disambiguation for the case of Kazakh language.
Character-Aware Neural Morphological Disambiguation
We develop a language-independent, deep learning-based approach to the task of morphological disambiguation.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
