In this post, we continue what we have started in the previous post. Now, we handle, the Construct Case (Izafe) in Northern Kurdish. The Construct...
(Northern) Kurdish Linguistic Features – The Construct Case (Izafe)
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(Northern) Kurdish Linguistic Features
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In the previous post, we gave an overview of the Kurdish language, its dialects, and the prevalent differences between the two main dialects. Before...
Kurdish Language
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Background The Kurdish language belongs to the Northwestern Iranic branch within the Indo-European languages family, spoken by more than 30 million...
Tokenization & Part-of-Speech Tagging Evaluation Methods
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Regardless of the employed tokenization and POS tagging methods, the evaluation of those methods can be expressed statistically using predefined...
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...
