Neural Machine Translation For Multimodal Interaction
DOWNLOAD eBooks
Download Neural Machine Translation For Multimodal Interaction PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Neural Machine Translation For Multimodal Interaction book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Neural Machine Translation For Multimodal Interaction
DOWNLOAD eBooks
Author : Koel Dutta Chowdhury
language : en
Publisher:
Release Date : 2019
Neural Machine Translation For Multimodal Interaction written by Koel Dutta Chowdhury and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with categories.
Typically it is seen that multimodal neural machine translation (MNMT) systems trained on a combination of visual and textual inputs produce better translations than systems trained using only textual inputs. The task of such systems can be decomposed into two sub-tasks: learning visually grounded representations from images and translation of the textual counterparts using those representations. In a multi-task learning framework, translations are generated from an attention-based encoder-decoder framework and grounded representations that are learned from pretrained convolutional neural networks (CNNs) for classifying images. In this thesis, I study different computational techniques to translate the meaning of sentences from one language into another considering the visual modality as a naturally occurring meaning representation bridging between languages. We examine the behaviour of state-of-the-art MNMT systems from the data perspective in order to understand the role of the both textual and visual inputs in such systems. We evaluate our models on the Multi30k, a large-scale multilingual multimodal dataset publicly available for machine learning research. Our results in the optimal and sparse data settings show that the differences in translation system performance are proportional to the amount of both visual and linguistic information whereas, in the adversarial condition the effect of the visual modality is rather small or negligible. The chapters of the thesis follow a progression starting with using different state-of-the-art MMT models for incorporating images in optimal data settings to creating synthetic image data under the low-resource scenario and extending to addition of adversarial perturbations to the textual input for evaluating the real contribution of images.
Multimodal Interactive Pattern Recognition And Applications
DOWNLOAD eBooks
Author : Alejandro Héctor Toselli
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-05-18
Multimodal Interactive Pattern Recognition And Applications written by Alejandro Héctor Toselli and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-05-18 with Computers categories.
This book presents a different approach to pattern recognition (PR) systems, in which users of a system are involved during the recognition process. This can help to avoid later errors and reduce the costs associated with post-processing. The book also examines a range of advanced multimodal interactions between the machine and the users, including handwriting, speech and gestures. Features: presents an introduction to the fundamental concepts and general PR approaches for multimodal interaction modeling and search (or inference); provides numerous examples and a helpful Glossary; discusses approaches for computer-assisted transcription of handwritten and spoken documents; examines systems for computer-assisted language translation, interactive text generation and parsing, relevance-based image retrieval, and interactive document layout analysis; reviews several full working prototypes of multimodal interactive PR applications, including live demonstrations that can be publicly accessed on the Internet.
Machine Learning For Multimodal Interaction
DOWNLOAD eBooks
Author : Samy Bengio
language : en
Publisher: Springer Science & Business Media
Release Date : 2005-01-31
Machine Learning For Multimodal Interaction written by Samy Bengio and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-01-31 with Computers categories.
This book constitutes the thoroughly refereed post-proceedings of the First International Workshop on Machine Learning for Multimodal Interaction, MLMI 2004, held in Martigny, Switzerland in June 2004. The 30 revised full papers presented were carefully selected during two rounds of reviewing and revision. The papers are organized in topical sections on HCI and applications, structuring and interaction, multimodal processing, speech processing, dialogue management, and vision and emotion.
Joint Training For Neural Machine Translation
DOWNLOAD eBooks
Author : Yong Cheng
language : en
Publisher: Springer Nature
Release Date : 2019-08-26
Joint Training For Neural Machine Translation written by Yong Cheng and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-08-26 with Computers categories.
This book presents four approaches to jointly training bidirectional neural machine translation (NMT) models. First, in order to improve the accuracy of the attention mechanism, it proposes an agreement-based joint training approach to help the two complementary models agree on word alignment matrices for the same training data. Second, it presents a semi-supervised approach that uses an autoencoder to reconstruct monolingual corpora, so as to incorporate these corpora into neural machine translation. It then introduces a joint training algorithm for pivot-based neural machine translation, which can be used to mitigate the data scarcity problem. Lastly it describes an end-to-end bidirectional NMT model to connect the source-to-target and target-to-source translation models, allowing the interaction of parameters between these two directional models.
Human Machine Interaction In Translation
DOWNLOAD eBooks
Author : Bernadette Sharp
language : en
Publisher: Samfundslitteratur
Release Date : 2011
Human Machine Interaction In Translation written by Bernadette Sharp and has been published by Samfundslitteratur this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with Human-computer interaction categories.
Includes 19 papers which were selected for presentation at the workshop and the text of invite keynote lectures. The workshop provided an attractive interdisciplinary forum for fostering interactions among researchers and practitioners in Natural Language Processing (NLP) working within the paradigm of Cognitive Science (CS)
Multimodal Interface For Human Machine Communication
DOWNLOAD eBooks
Author : P. C. Yuen
language : en
Publisher: World Scientific
Release Date : 2002
Multimodal Interface For Human Machine Communication written by P. C. Yuen and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Computers categories.
With the advance of speech, image and video technology, human-computer interaction (HCI) will reach a new phase.In recent years, HCI has been extended to human-machine communication (HMC) and the perceptual user interface (PUI). The final goal in HMC is that the communication between humans and machines is similar to human-to-human communication. Moreover, the machine can support human-to-human communication (e.g. an interface for the disabled). For this reason, various aspects of human communication are to be considered in HMC. The HMC interface, called a multimodal interface, includes different types of input methods, such as natural language, gestures, face and handwriting characters.The nine papers in this book have been selected from the 92 high-quality papers constituting the proceedings of the 2nd International Conference on Multimodal Interface (ICMI '99), which was held in Hong Kong in 1999. The papers cover a wide spectrum of the multimodal interface.
Machine Learning For Multimodal Interaction
DOWNLOAD eBooks
Author : Andrei Popescu-Belis
language : en
Publisher: Springer
Release Date : 2008-09-20
Machine Learning For Multimodal Interaction written by Andrei Popescu-Belis and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-09-20 with Computers categories.
This book constitutes the refereed proceedings of the 5th International Workshop on Machine Learning for Multimodal Interaction, MLMI 2008, held in Utrecht, The Netherlands, in September 2008. The 12 revised full papers and 15 revised poster papers presented together with 5 papers of a special session on user requirements and evaluation of multimodal meeting browsers/assistants were carefully reviewed and selected from 47 submissions. The papers cover a wide range of topics related to human-human communication modeling and processing, as well as to human-computer interaction, using several communication modalities. Special focus is given to the analysis of non-verbal communication cues and social signal processing, the analysis of communicative content, audio-visual scene analysis, speech processing, interactive systems and applications.
International Conference On Multimodal Interfaces And The Workshop On Machine Learning For Multimodal Interaction
DOWNLOAD eBooks
Author : Wen Gao
language : en
Publisher:
Release Date : 2010
International Conference On Multimodal Interfaces And The Workshop On Machine Learning For Multimodal Interaction written by Wen Gao and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with categories.
The Handbook Of Multimodal Multisensor Interfaces Volume 3
DOWNLOAD eBooks
Author : Sharon Oviatt
language : en
Publisher: Morgan & Claypool
Release Date : 2019-06-25
The Handbook Of Multimodal Multisensor Interfaces Volume 3 written by Sharon Oviatt and has been published by Morgan & Claypool this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-25 with Computers categories.
The Handbook of Multimodal-Multisensor Interfaces provides the first authoritative resource on what has become the dominant paradigm for new computer interfaces-user input involving new media (speech, multi-touch, hand and body gestures, facial expressions, writing) embedded in multimodal-multisensor interfaces. This three-volume handbook is written by international experts and pioneers in the field. It provides a textbook, reference, and technology roadmap for professionals working in this and related areas. This third volume focuses on state-of-the-art multimodal language and dialogue processing, including semantic integration of modalities. The development of increasingly expressive embodied agents and robots has become an active test bed for coordinating multimodal dialogue input and output, including processing of language and nonverbal communication. In addition, major application areas are featured for commercializing multimodal-multisensor systems, including automotive, robotic, manufacturing, machine translation, banking, communications, and others. These systems rely heavily on software tools, data resources, and international standards to facilitate their development. For insights into the future, emerging multimodal-multisensor technology trends are highlighted in medicine, robotics, interaction with smart spaces, and similar areas. Finally, this volume discusses the societal impact of more widespread adoption of these systems, such as privacy risks and how to mitigate them. The handbook chapters provide a number of walk-through examples of system design and processing, information on practical resources for developing and evaluating new systems, and terminology and tutorial support for mastering this emerging field. In the final section of this volume, experts exchange views on a timely and controversial challenge topic, and how they believe multimodal-multisensor interfaces need to be equipped to most effectively advance human performance during the next decade.
Machine Learning For Multimodal Interaction
DOWNLOAD eBooks
Author : Andrei Popescu-Belis
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-02-26
Machine Learning For Multimodal Interaction written by Andrei Popescu-Belis and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-02-26 with Computers categories.
This book constitutes the thoroughly refereed post-proceedings of the 4th International Workshop on Machine Learning for Multimodal Interaction, MLMI 2007, held in Brno, Czech Republic, in June 2007. The 25 revised full papers presented together with 1 invited paper were carefully selected during two rounds of reviewing and revision from 60 workshop presentations. The papers are organized in topical sections on multimodal processing, HCI, user studies and applications, image and video processing, discourse and dialogue processing, speech and audio processing, as well as the PASCAL speech separation challenge.