Natural Language Processing — Covers methods for analysing, classifying, generating and retrieving representations of human language.
Covers methods for analysing, classifying, generating and retrieving representations of human language.
NLP output cannot be characterised by one score without fixing tokenisation, context length, language/domain distribution, and the evaluation metric.
Publications whose title or summary directly references this concept.
A Turkish-centered NLP course covering Unicode and normalization, tokenization, morphology, syntax, semantics, statistical NLP, Transformers, multilingual models, speech, LLMs, and production engineering in a comparative language perspective.
Processing OCR and ASR output through morphology, syntax, semantics, n-gram/TF-IDF representations, and dialogue analysis, then linking extraction and search to a multimodal timeline.
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