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Linguistically Motivated Statistical Machine Translation

Linguistically Motivated Statistical Machine Translation
Author: Deyi Xiong
Publisher: Springer
Total Pages: 159
Release: 2015-02-11
Genre: Language Arts & Disciplines
ISBN: 9812873562

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This book provides a wide variety of algorithms and models to integrate linguistic knowledge into Statistical Machine Translation (SMT). It helps advance conventional SMT to linguistically motivated SMT by enhancing the following three essential components: translation, reordering and bracketing models. It also serves the purpose of promoting the in-depth study of the impacts of linguistic knowledge on machine translation. Finally it provides a systematic introduction of Bracketing Transduction Grammar (BTG) based SMT, one of the state-of-the-art SMT formalisms, as well as a case study of linguistically motivated SMT on a BTG-based platform.


Syntax-based Statistical Machine Translation

Syntax-based Statistical Machine Translation
Author: Philip Williams
Publisher: Springer Nature
Total Pages: 190
Release: 2022-05-31
Genre: Computers
ISBN: 3031021649

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This unique book provides a comprehensive introduction to the most popular syntax-based statistical machine translation models, filling a gap in the current literature for researchers and developers in human language technologies. While phrase-based models have previously dominated the field, syntax-based approaches have proved a popular alternative, as they elegantly solve many of the shortcomings of phrase-based models. The heart of this book is a detailed introduction to decoding for syntax-based models. The book begins with an overview of synchronous-context free grammar (SCFG) and synchronous tree-substitution grammar (STSG) along with their associated statistical models. It also describes how three popular instantiations (Hiero, SAMT, and GHKM) are learned from parallel corpora. It introduces and details hypergraphs and associated general algorithms, as well as algorithms for decoding with both tree and string input. Special attention is given to efficiency, including search approximations such as beam search and cube pruning, data structures, and parsing algorithms. The book consistently highlights the strengths (and limitations) of syntax-based approaches, including their ability to generalize phrase-based translation units, their modeling of specific linguistic phenomena, and their function of structuring the search space.


Statistical Machine Translation

Statistical Machine Translation
Author: Philipp Koehn
Publisher:
Total Pages: 433
Release: 2010
Genre: Machine translating
ISBN: 9780511690587

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Hybrid Approaches to Machine Translation

Hybrid Approaches to Machine Translation
Author: Marta R. Costa-jussà
Publisher: Springer
Total Pages: 205
Release: 2016-07-12
Genre: Computers
ISBN: 3319213113

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This volume provides an overview of the field of Hybrid Machine Translation (MT) and presents some of the latest research conducted by linguists and practitioners from different multidisciplinary areas. Nowadays, most important developments in MT are achieved by combining data-driven and rule-based techniques. These combinations typically involve hybridization of different traditional paradigms, such as the introduction of linguistic knowledge into statistical approaches to MT, the incorporation of data-driven components into rule-based approaches, or statistical and rule-based pre- and post-processing for both types of MT architectures. The book is of interest primarily to MT specialists, but also – in the wider fields of Computational Linguistics, Machine Learning and Data Mining – to translators and managers of translation companies and departments who are interested in recent developments concerning automated translation tools.


Human Language Technologies

Human Language Technologies
Author: Arvi Tavast
Publisher: IOS Press
Total Pages: 312
Release: 2012
Genre: Computers
ISBN: 1614991324

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Human language technologies continue to play an important part in the modern information society.This book contains papers presented at the fifth international conference 'Human Language Technologies - The Baltic Perspective (Baltic HLT 2012)', held in Tartu, Estonia, in October 2012.Baltic HLT provides a special venue for new and ongoing work in computational linguistics and related disciplines, both in the Baltic states and in a broader geographical perspective. It brings together scientists, developers, providers and users of HLT, and is a forum for the sharing of new ideas and recent advances in human language processing, promoting cooperation between the research communities of computer science and linguistics from the Baltic countries and the rest of the world.Twenty long papers, as well as the posters or demos accepted for presentation at the conference, are published here. They cover a wide range of topics: morphological disambiguation, dependency syntax and valency, computational semantics, named entities, dialogue modeling, terminology extraction and management, machine translation, corpus and parallel corpus compiling, speech modeling and multimodal communication. Some of the papers also give a general overview of the state of the art of human language technology and language resources in the Baltic states.This book will be of interest to all those whose work involves the use and application of computational linguistics and related disciplines.


Machine Translation and Global Research

Machine Translation and Global Research
Author: Lynne Bowker
Publisher: Emerald Group Publishing
Total Pages: 128
Release: 2019-05-01
Genre: Computers
ISBN: 1787567230

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Lynne Bowker and Jairo Buitrago Ciro introduce the concept of machine translation literacy, a new kind of literacy for scholars and librarians in the digital age. This book is a must-read for researchers and information professionals eager to maximize the global reach and impact of any form of scholarly work.


Human Language Technologies – The Baltic Perspective

Human Language Technologies – The Baltic Perspective
Author: I. Skadiņa
Publisher: IOS Press
Total Pages: 188
Release: 2016-10-14
Genre: Computers
ISBN: 1614997012

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Throughout the last decade, the Baltic states have played an active role in regional and international language technology activities, supporting less-resourced languages in the digital age. This book presents the proceedings of the 7th International Conference: Human Language Technologies – The Baltic Perspective (Baltic HLT 2016), held in Riga, Latvia, in October 2016. Baltic HLT 2016 provided a forum for sharing ideas and recent advances in human language processing with a special focus on less-resourced languages. Papers selected for the conference cover a wide range of topics, including a general overview of language technology progress in the Baltic states, actual research topics in written and spoken language processing, the creation of language resources and their applications, and proposals for a European language platform. The book is divided into five sections: overview; speech technologies and corpora; machine translation; written language resources; and methods and tools for language processing. The book will be a useful resource, not only for Baltic language researchers, but also for those working with other less-resourced languages in Europe and beyond.


Neural Machine Translation

Neural Machine Translation
Author: Philipp Koehn
Publisher: Cambridge University Press
Total Pages: 409
Release: 2020-06-18
Genre: Computers
ISBN: 1108497322

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Learn how to build machine translation systems with deep learning from the ground up, from basic concepts to cutting-edge research.


A Machine Translation Approach to Cross Language Text Retrieval

A Machine Translation Approach to Cross Language Text Retrieval
Author: María Gabriela Fernandez-Diaz
Publisher: Universal-Publishers
Total Pages: 137
Release: 2005-03
Genre: Language Arts & Disciplines
ISBN: 1581122675

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Cross Language Text Retrieval (CLTR) has been defined as the retrieval of documents in a language different from that of the original query. To make this possible some kind of mechanism has to be applied in order to translate the information contained in the source sentence. Many different approaches have been carried out with the purpose of transferring the information from the source language query to the target language one. Though all these methods deal with a way of translating as much information as possible from the source query, little research has been conducted in relation to the field of Machine Translation (MT). The purpose of this research work is to determine the feasibility of using MT techniques for CLTR. Specifically, I will describe how a MT system has been adapted without much effort to translate Spanish queries of a specific domain, i.e. Finance and Economics, into English in order to retrieve documents related to that field. The results of this process will then be compared with the results obtained from the retrieval of the original English queries. Thus, I will discuss the advantages and disadvantages of using MT for CLTR.