Natural Language & Machine Translation

This volume contains the papers presented at the 23rd Canadian Conference on Arti?cial Intelligence (AI 2010). The conference was held in Ottawa, O...

Natural language generation (NLG) is a subfield of natural language processing (NLP) that is often characterized as the study of automatically conv...

The annual Text, Speech and Dialogue Conference (TSD), which originatedin 1998,is now startingits second decade. So far more than 1,000 authors fro...

This book constitutes the refereed proceedings of the 8th International Workshop on the Finite-State-Methods and Natural Language Processing, FSMNL...

In the 14 years since its ?rst edition back in 1997, the European Conference on Research and Advanced Technology for Digital Libraries (ECDL) has b...

Machine learning and data mining are inseparably connected with uncertainty. The observable data for learning is usually imprecise, incomplete or n...

This volume contains the proceedings of NOLISP 2009, an ISCA Tutorial and Workshop on Non-Linear Speech Processing held at the University of Vic (-...

The tenth campaign of the Cross Language Evaluation Forum (CLEF) for European languages was held from January to September 2009. There were eight m...

This book constitutes the refereed proceedings of the International Conference on Theory and Practice of Digital Libraries, TPDL 2011 - formerly kn...

Transfer learning is one of the most important technologies in the era of artificial intelligence and deep learning. It seeks to leverage existing ...

In the light of upcoming global issues, concerning population, energy, the environment, and food, information and communication technologies are re...

th The 15 International Conference on Applications of Natural Language to Information Systems (NLDB 2010) took place during June 2325 in Cardiff (U...

th The 15 International Conference on Applications of Natural Language to Information Systems (NLDB 2010) took place during June 2325 in Cardiff (U...

This book reviews ways to improve statistical machine speech translation between Polish and English. Research has been conducted mostly on dictiona...

This book constitutes the refereed proceedings of the International Conference on Information Systems for Indian Languages, ICISIL 2011, held in Pa...

The tenth campaign of the Cross Language Evaluation Forum (CLEF) for European languages was held from January to September 2009. There were eight m...

With detailed notes, tables, and examples, this handy reference will help you navigate the basics of structured machine learning. Author Matt Harri...

NVIDIA's Full-Color Guide to Deep Learning: All You Need to Get Started and Get Results To enable everyone to be part of this historic revolution...

Learn how to use Python for linguistics and digital humanities research, perfect for students working with Python for the first time Python program...

Companies today are moving rapidly to integrate generative AI into their products and services. But there's a great deal of hype (and misunderstand...

Companies are spending billions on machine learning projects, but it's money wasted if the models can't be deployed effectively. In this practical ...

The Practical, Step-by-Step Guide to Using LLMs at Scale in Projects and Products Large Language Models (LLMs) like ChatGPT are demonstrating breat...

This is an open access title. It is made available under a Creative Commons Attribution-Non Commercial-No Derivatives 4.0 International license. It...

This book constitutes the refereed proceedings of the 7th International Joint Conference on Rules and Reasoning, RuleML+RR 2023, held in Oslo, Norw...

Master Java persistence using the industry-leading tools Spring Data and Hibernate. In   Java Persistence with Spring Data and Hibernate ...

Optimize every stage of your machine learning pipelines with powerful automation components and cutting-edge tools like AutoKeras and KerasTuner. A...

TensorFlow is a one-stop solution for building, monitoring, optimizing,and deploying your models. This practical guide to building deep learning mo...