Regardless of the employed tokenization and POS tagging methods, the evaluation of those methods can be expressed statistically using predefined...
Tokenization & Part-of-Speech Tagging Evaluation Methods
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Tokenization & its Methods
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Just as part-of-speech tagging serves as a precursor for tasks like syntactic parsing, tokenization is a crucial task in NLP, and it is a...
Part-of-Speech Tagging & its Methods (5)
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The Transformer The Transformer \cite{vaswani2017attention} was introduced in 2017 as the first sequence transduction model wholly based on self...
Part-of-Speech Tagging & its Methods (4)
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Artificial Neural Networks In addition to the rule-based methods, discriminative (CRF), generative (HMM), decision trees, and N-gram models for POS...
Part-of-Speech Tagging & its Methods (3)
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Decision Trees model The task of POS tagging can be seen as a multi-class classification task where a model is trained on annotated data to enable it...
Part-of-Speech Tagging & its Methods (2)
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Hidden Markov Models A Hidden Markov Model (HMM) is the best-known type of probabilistic/statistical generative model that is used to solve the...
Part-of-Speech Tagging & its Methods (1)
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In this post, I have promised to start a series of posts on the topic of POS tagging based on my master’s thesis. Therefore, this is the first...
My paper “Part-of-Speech Tagging for Northern Kurdish” has been accepted for MWE-UD 2024
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I am thrilled to share with you that my paper, “Part-of-Speech Tagging for Northern Kurdish” has been accepted for the Joint Workshop on...
How to specify the CUDA device for your Python Torch-based code
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On a multi-GPU machine used by multiple people for running Python code, like university clusters (in my case, the cluster offered by my university...
How to build Dlib on Linux Ubuntu 18.04 using cmake with AVX support and install its Python API
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Dlib is a modern C++ toolkit containing machine learning algorithms and tools for creating complex software in C++ to solve real world problems. It...
