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Translation and Multimodality

Translation and Multimodality PDF Author: Monica Boria
Publisher: Routledge
ISBN: 1000682145
Category : Language Arts & Disciplines
Languages : en
Pages : 212

Book Description
Translation and Multimodality: Beyond Words is one of the first books to explore how translation needs to be redefined and reconfigured in contexts where multiple modes of communication, such as writing, images, gesture, and music, occur simultaneously. Bringing together world-leading experts in translation theory and multimodality, each chapter explores important interconnections among these related, yet distinct, disciplines. As communication becomes ever more multimodal, the need to consider translation in multimodal contexts is increasingly vital. The various forms of meaning-making that have become prominent in the twenty-first century are already destabilising certain time-honoured translation-theoretic paradigms, causing old definitions and assumptions to appear inadequate. This ground-breaking volume explores these important issues in relation to multimodal translation with examples from literature, dance, music, TV, film, and the visual arts. Encouraging a greater convergence between these two significant disciplines, this text is essential for advanced students and researchers in Translation Studies, Linguistics, and Communication Studies.

Translation and Multimodality

Translation and Multimodality PDF Author: Monica Boria
Publisher: Routledge
ISBN: 1000682145
Category : Language Arts & Disciplines
Languages : en
Pages : 212

Book Description
Translation and Multimodality: Beyond Words is one of the first books to explore how translation needs to be redefined and reconfigured in contexts where multiple modes of communication, such as writing, images, gesture, and music, occur simultaneously. Bringing together world-leading experts in translation theory and multimodality, each chapter explores important interconnections among these related, yet distinct, disciplines. As communication becomes ever more multimodal, the need to consider translation in multimodal contexts is increasingly vital. The various forms of meaning-making that have become prominent in the twenty-first century are already destabilising certain time-honoured translation-theoretic paradigms, causing old definitions and assumptions to appear inadequate. This ground-breaking volume explores these important issues in relation to multimodal translation with examples from literature, dance, music, TV, film, and the visual arts. Encouraging a greater convergence between these two significant disciplines, this text is essential for advanced students and researchers in Translation Studies, Linguistics, and Communication Studies.

Pattern Recognition and Image Analysis

Pattern Recognition and Image Analysis PDF Author: Luís A. Alexandre
Publisher: Springer
ISBN: 3319588389
Category : Computers
Languages : en
Pages : 550

Book Description
This book constitutes the refereed proceedings of the 8th Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2017, held in Faro, Portugal, in June 2017. The 60 regular papers presented in this volume were carefully reviewed and selected from 86 submissions. They are organized in topical sections named: Pattern Recognition and Machine Learning; Computer Vision; Image and Signal Processing; Medical Image; and Applications.

Routledge Encyclopedia of Technology and the Humanities

Routledge Encyclopedia of Technology and the Humanities PDF Author: Chan Sin-wai
Publisher: Taylor & Francis
ISBN: 1040005829
Category : Language Arts & Disciplines
Languages : en
Pages : 389

Book Description
Routledge Encyclopedia of Technology and the Humanities is a pioneer attempt to introduce a wide range of disciplines in the emerging field of techno-humanities to the English-reading world. This book covers topics such as archaeology, cultural heritage, design, fashion, linguistics, music, philosophy, and translation. It has 20 chapters, contributed by 26 local and international scholars. Each chapter has its own theme and addresses issues of significant interest in the respective disciplines. References are provided at the end of each chapter for further exploration into the literature of the relevant areas. To facilitate an easy reading of the information presented in this volume, chapters have been arranged according to the alphabetical order of the topics covered. This Encyclopedia will appeal to researchers and professionals in the field of technology and the humanities, and can be used by undergraduate and graduate students studying the humanities.

Statistical Language and Speech Processing

Statistical Language and Speech Processing PDF Author: Luis Espinosa-Anke
Publisher: Springer Nature
ISBN: 3030895793
Category : Computers
Languages : en
Pages : 119

Book Description
This book constitutes the proceedings of the 9th International Conference on Statistical Language and Speech Processing, SLSP 2021, held in Cardiff, UK, in November 2021. The 9 full papers presented in this volume were carefully reviewed and selected from 21 submissions. The papers present topics of either theoretical or applied interest discussing the employment of statistical models (including machine learning) within language and speech processing.

Multimodal Interactive Pattern Recognition and Applications

Multimodal Interactive Pattern Recognition and Applications PDF Author: Alejandro Héctor Toselli
Publisher: Springer Science & Business Media
ISBN: 0857294792
Category : Computers
Languages : en
Pages : 281

Book Description
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.

Artificial Neural Networks and Machine Learning – ICANN 2024

Artificial Neural Networks and Machine Learning – ICANN 2024 PDF Author: Michael Wand
Publisher: Springer Nature
ISBN: 3031723473
Category :
Languages : en
Pages : 353

Book Description


Computer Vision – ECCV 2020

Computer Vision – ECCV 2020 PDF Author: Andrea Vedaldi
Publisher: Springer Nature
ISBN: 3030585484
Category : Computers
Languages : en
Pages : 858

Book Description
The 30-volume set, comprising the LNCS books 12346 until 12375, constitutes the refereed proceedings of the 16th European Conference on Computer Vision, ECCV 2020, which was planned to be held in Glasgow, UK, during August 23-28, 2020. The conference was held virtually due to the COVID-19 pandemic. The 1360 revised papers presented in these proceedings were carefully reviewed and selected from a total of 5025 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation.

MultiModal Neural Machine Translation System

MultiModal Neural Machine Translation System PDF Author: Zhiwen Tang
Publisher:
ISBN:
Category :
Languages : en
Pages :

Book Description
In this project, I proposed a set of methods to complete the task of multimodal machine translation, which is to generate a image caption in the target language given the image itself and corresponding image captions in the source language. I completed this task with deep learning techniques.

Multimodal Machine Translation

Multimodal Machine Translation PDF Author: Ozan Caglayan
Publisher:
ISBN:
Category :
Languages : en
Pages : 0

Book Description
Machine translation aims at automatically translating documents from one language to another without human intervention. With the advent of deep neural networks (DNN), neural approaches to machine translation started to dominate the field, reaching state-ofthe-art performance in many languages. Neural machine translation (NMT) also revived the interest in interlingual machine translation due to how it naturally fits the task into an encoder-decoder framework which produces a translation by decoding a latent source representation. Combined with the architectural flexibility of DNNs, this framework paved the way for further research in multimodality with the objective of augmenting the latent representations with other modalities such as vision or speech, for example. This thesis focuses on a multimodal machine translation (MMT) framework that integrates a secondary visual modality to achieve better and visually grounded language understanding. I specifically worked with a dataset containing images and their translated descriptions, where visual context can be useful forword sense disambiguation, missing word imputation, or gender marking when translating from a language with gender-neutral nouns to one with grammatical gender system as is the case with English to French. I propose two main approaches to integrate the visual modality: (i) a multimodal attention mechanism that learns to take into account both sentence and convolutional visual representations, (ii) a method that uses global visual feature vectors to prime the sentence encoders and the decoders. Through automatic and human evaluation conducted on multiple language pairs, the proposed approaches were demonstrated to be beneficial. Finally, I further show that by systematically removing certain linguistic information from the input sentences, the true strength of both methods emerges as they successfully impute missing nouns, colors and can even translate when parts of the source sentences are completely removed.

Neural Machine Translation

Neural Machine Translation PDF Author: Philipp Koehn
Publisher: Cambridge University Press
ISBN: 1108497322
Category : Computers
Languages : en
Pages : 409

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