Tokenization is an important text preprocessing step to prepare input tokens for deep
language models. WordPiece and BPE are de facto methods employed by important …

Despite the recent advances in applying language-independent approaches to various
natural language processing tasks thanks to artificial intelligence, some language-specific …

Sentiment analysis is the process of identifying and extracting subjective information from
text. Despite the advances to employ cross-lingual approaches in an automatic way, the …

Sorani Kurdish, also known as Central Kurdish, has a complex morphology, particularly due
to the patterns in which morphemes appear. Although several aspects of Kurdish …

This paper argues that machine learning (ML) has a role to play in the future of philology,
understood here as a discipline concerned with preserving and elucidating the global …

Machine translation has been a major motivation of development in natural language
processing. Despite the burgeoning achievements in creating more efficient machine …

With the rapid growth of online content written in the Kurdish language, there is an
increasing need to make it machine-readable and processable. Part of speech (POS) …

Spell checking and morphological analysis are two fundamental tasks in text and natural
language processing and are addressed in the early stages of the development of language …

Tokenization and morphological segmentation continue to pose challenges for text
processing and studies of human language. Here, we focus on written Soranî Kurdish, which …

Semantic ontologies have been widely utilized as crucial tools within natural language
processing, underpinning applications such as knowledge extraction, question answering …