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Machine Translation
This book compares and contrasts the principles and practices of rule-based machine translation (RBMT), statistical machine translation (SMT), and example-based machine translation (EBMT). Presenting numerous examples, the text introduces language divergence as the fundamental challenge to machine translation, emphasizes and works out word alignment, explores IBM models of machine translation, covers the mathematics of phrase-based SMT, provides complete walk-throughs of the working of interlingua-based and transfer-based RBMT, and analyzes EBMT, showing how translation parts can be extracted and recombined to automatically translate a new input.
Proceedings of the International Conference on Natural Language Processing (ICON--2005)
Contributed papers presented at the 2005 International Conference, held at IIT Kanpur, organized by NLP Association of India, etc.
Knowledge-based Intelligent Information And Engineering Systems
The four volume set LNAI 3681, LNAI 3682, LNAI 3683, and LNAI 3684 constitute the refereed proceedings of the 9th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2005, held in Melbourne, Australia in September 2005. The 716 revised papers presented were carefully reviewed and selected from nearly 1400 submissions. The papers present a wealth of original research results from the field of intelligent information processing in the broadest sense. The second volume contains papers on machine learning, immunity-based systems, medical diagnosis, intelligent hybrid systems and control, emotional intelligence and smart systems, context-aware evolvabl...
Machine Translation and Transliteration Involving Related and Low-resource Languages
Machine Translation and Transliteration involving Related, Low-resource Languages discusses an important aspect of natural language processing that has received lesser attention: translation and transliteration involving related languages in a low-resource setting. This is a very relevant real-world scenario for people living in neighbouring states/provinces/countries who speak similar languages and need to communicate with each other, but training data to build supporting MT systems is limited. The book discusses different characteristics of related languages with rich examples and draws connections between two problems: translation for related languages and transliteration. It shows how li...
Artificial Intelligence Today
This book is meant for graduate-level/ MCA/ B. Tech students and also as per the syllabus of All India Council of Technical Education (AICTE) under emerging technology, which covers more than 10000 colleges with pan India presence. Book from an author who has written more than 100 books (first in India) on computer science and information technology, including all levels of DOEACC, C DAC. His book "Big Data and Hadoop" was released by a past president of the Institution of Electronics and Telecommunication Engineers. Books are already been written on Big data analytics, Data Science, and Machine learning, are already approved by AICTE.
FSTTCS 2006: Foundations of Software Technology and Theoretical Computer Science
This book constitutes the refereed proceedings of the 26th International Conference on the Foundations of Software Technology and Theoretical Computer Science, FSTTCS 2006, held in Kolkata, India, in December 2006. It contains 38 papers that cover a broad variety of current topics from the theory of computing, ranging from formal methods, discrete mathematics, complexity theory, and automata theory to theoretical computer science in general.
Multi-lingual Information Access in South Asian Languages
This book constitutes the thoroughly refereed post-proceedings of the Second and Third Workshops of the Forum for Information Retrieval Evaluation, FIRE 2010 and 2011, on Multi-lingual Information Access in South Asian Languages held in Gandhinagar, India, in February 2010 and in Bombay, India, in December 2011. The volume brings together revised and expanded versions of a total of 29 papers. The papers are organized in topical sections on various aspects of multi-lingual information access.
Cognitively Inspired Natural Language Processing
This book shows ways of augmenting the capabilities of Natural Language Processing (NLP) systems by means of cognitive-mode language processing. The authors employ eye-tracking technology to record and analyze shallow cognitive information in the form of gaze patterns of readers/annotators who perform language processing tasks. The insights gained from such measures are subsequently translated into systems that help us (1) assess the actual cognitive load in text annotation, with resulting increase in human text-annotation efficiency, and (2) extract cognitive features that, when added to traditional features, can improve the accuracy of text classifiers. In sum, the authors’ work successf...
Machine Translation and Transliteration involving Related, Low-resource Languages
Machine Translation and Transliteration involving Related, Low-resource Languages discusses an important aspect of natural language processing that has received lesser attention: translation and transliteration involving related languages in a low-resource setting. This is a very relevant real-world scenario for people living in neighbouring states/provinces/countries who speak similar languages and need to communicate with each other, but training data to build supporting MT systems is limited. The book discusses different characteristics of related languages with rich examples and draws connections between two problems: translation for related languages and transliteration. It shows how li...
