Chris Biemann 
Structure Discovery in Natural Language [PDF ebook] 

Destek

Current language technology is dominated by approaches that either enumerate a large set of rules, or are focused on a large amount of manually labelled data. The creation of both is time-consuming and expensive, which is commonly thought to be the reason why automated natural language understanding has still not made its way into “real-life” applications yet.

This book sets an ambitious goal: to shift the development of language processing systems to a much more automated setting than previous works. A new approach is defined: what if computers analysed large samples of language data on their own, identifying structural regularities that perform the necessary abstractions and generalisations in order to better understand language in the process?
After defining the framework of Structure Discovery and shedding light on the nature and the graphic structure of natural language data, several procedures are described that do exactly this: let the computer discover structures without supervision in order to boost the performance of language technology applications. Here, multilingual documents are sorted by language, word classes are identified, and semantic ambiguities are discovered and resolved without using a dictionary or other explicit human input. The book concludes with an outlook on the possibilities implied by this paradigm and sets the methods in perspective to human computer interaction.

The target audience are academics on all levels (undergraduate and graduate students, lecturers and professors) working in the fields of natural language processing and computational linguistics, as well as natural language engineers who are seeking to improve their systems.

€96.29
Ödeme metodları

İçerik tablosu

Foreword by Antal van den Bosch.- 1.Introduction.- 2.Graph Models.- 3.Small Worlds of Natural Language.- 4.Graph Clustering.- 5.Unsupervised Language Separation .- 6.Unsupervised Part-of-Speech Tagging.- 7.Word Sense Induction and Disambiguation.- 8.Conclusion.- References​.

Bu e-kitabı satın alın ve 1 tane daha ÜCRETSİZ kazanın!
Dil İngilizce ● Biçim PDF ● Sayfalar 180 ● ISBN 9783642259234 ● Dosya boyutu 3.2 MB ● Yayımcı Springer Berlin ● Kent Heidelberg ● Ülke DE ● Yayınlanan 2011 ● İndirilebilir 24 aylar ● Döviz EUR ● Kimlik 2241039 ● Kopya koruma Sosyal DRM

Aynı yazardan daha fazla e-kitap / Editör

16.501 Bu kategorideki e-kitaplar