Statistical machine translation

Applied sciences
Information engineering
Natural language processing
Topics in natural language ...

About
Privacy
Disclaimer

Graph Chatbot

Related lectures (32)

Page 2 of 4

Introduction to Modern Natural Language Processing

Introduces the course on Modern Natural Language Processing, covering its significance, applications, challenges, and advancements in technology.

Algorithmic Fundamentals

Covers the binary system, basic concepts, sequences, loops, branching logic, variables, and algorithm translation.

Classical Language Models: Foundations and Applications

Introduces classical language models, their applications, and foundational concepts like count-based modeling and evaluation metrics.

Automatic Synthesis of OS Code

Discusses the automatic synthesis of OS code to ease the burden of configuring translation hardware for operating system developers.

Pretraining Sequence-to-Sequence Models: BART and T5

Covers the pretraining of sequence-to-sequence models, focusing on BART and T5 architectures.

ICT Innovations for Emergency Response

Discusses the impact of ICT innovations in emergency response and the importance of prioritizing local communities in disaster management.

Transformer Architecture: The X Gomega

Delves into the Transformer architecture, self-attention, and training strategies for machine translation and image recognition.

Natural Language Generation: Understanding the Task and Techniques

Provides an overview of Natural Language Generation, focusing on tasks, challenges, and methodologies for creating coherent text.

Analytical Design: Graphic Communication

Explores the use of aesthetics, visual metaphors, readability, and data integrity in creating effective visual representations.

Chemical Reaction Prediction: Molecular Transformer

Explores chemical reaction prediction using generative models and molecular transformers, emphasizing the importance of molecular language processing and stereochemistry.