
Comprehensive NLP tutorial covering tokenization, preprocessing, encoding, and word embeddings. Practical implementations and in-depth explanations for beginners and intermediate learners.

Proposes a structured design space for intelligent writing assistants, exploring five key aspects: task, user, technology, interaction, and ecosystem, based on a systematic review of 115 papers.

Exploring a mathematical framework for large language models, proposing structures that underpin their computational processes and linguistic capabilities.

Explore modern NLP techniques applied to Swiss multilingual data, from basic tasks to advanced methods like NER and dependency parsing. Learn how to integrate LLMs into NLP pipelines using the Swiss Commercial Registry as a real-world example.

Explore the inner workings of ChatGPT and large language models, from word embedding to sentence generation, with insights on vector representation and randomness in AI-generated text.

Explore the inner workings of ChatGPT and large language models, understanding their token-by-token generation process and the complexities behind their seemingly intelligent outputs.

Explore GPT-2's inner workings through token manipulation, node analysis, and temperature adjustments to gain insights into its structure and functioning.

Explore ancient Greek syntax analysis through computational methods, developing functions for parts of speech, verb endings, and noun categories.

Explore how temperature affects grammatical structures in AI-generated text, applying graph theory to language and comparing human vs. machine writing.

Explore computational models for analyzing and predicting human communication behaviors, with applications in healthcare, education, business, and social media.

Explore large-scale syntactic processing techniques for parsing web content in this comprehensive workshop presentation from CLSP at Johns Hopkins University.

Explore advances in natural language processing and the challenge of creating systems that understand text, with insights on leveraging distributional regularities for effective analysis.

Explore modality-specific speech processing through behavioral, brain imaging, and computational methods. Discover evidence challenging conventional theories of abstract linguistic encoding in speech perception.

Explore context-sensitive interactions in probabilistic grammars, log-linear models, and stochastic unification-based grammars with implications for optimality theory.

Explore a toolkit for optimizing hyperparameters in neural machine translation research, enhancing efficiency and performance in NMT model development.

Explore cutting-edge AI techniques for seamless multilingual communication, focusing on under-resourced languages through multi-modal and transfer learning approaches.

Explore multilingual speech-to-speech translation techniques for under-resourced languages, focusing on encoding, decoding, and analysis strategies.

Explore Arabic NLP fundamentals, covering linguistic challenges and computational approaches for processing the Arabic language.

Explore language engineering integration in research and education at CLSP's Workshop'99. Gain insights into bridging academic and professional perspectives in the field.

Explore computational techniques for analyzing lexical semantic evolution in historical texts, uncovering linguistic patterns and variations over time.

Explore AI's impact on neuroscience with experts discussing challenges, opportunities, and explainability. Gain insights into the intersection of artificial and natural intelligence.