Combining corpus linguistics, critical discourse analysis, and a discourse analysis of narratives, this book considers one aspect of the Brexit process: the language that journalists, politicians and individuals used to write and talk about what it means to be British and European around the time of Brexit.
Sun, Liu, Moratto, and the team of contributors provide an in-depth exploration of the implications of artificial intelligence (AI) in the ever-evolving field of translation studies.
Data Analytics using Machine Learning Techniques on Cloud Platforms examines how machine learning (ML) and cloud computing combine to drive data-driven decision-making across industries.
Understanding Artificial Minds through Human Minds: The Psychology of Artificial Intelligence provides an accessible introduction into artificial intelligence through the lens of psychology.
Multilingual Artificial Intelligence is a guide for non-computer science specialists and learners looking to explore the implementation of AI technologies to solve real-life problems involving language data.
The key assumption in this text is that machine translation is not merely a mechanical process but in fact requires a high level of linguistic sophistication, as the nuances of syntax, semantics and intonation cannot always be conveyed by modern technology.
Corpus linguistics uses specialist software to identify linguistic patterns in large computerised collections of text - patterns which then must be interpreted and explained by human researchers.
Corpus linguistics uses specialist software to identify linguistic patterns in large computerised collections of text - patterns which then must be interpreted and explained by human researchers.
Bringing together leading scholars and practitioners, Rethinking Writing Education in the Age of Generative AI offers a timely exploration of pressing issues in writing pedagogies within an increasingly AI-mediated educational landscape.
In knowledge-based natural language generation, issues of formal knowledge representation meet with the linguistic problems of choosing the most appropriate verbalization in a particular situation of utterance.
Dictation systems, read-aloud software for the blind, speech control of machinery, geographical information systems with speech input and output, and educational software with `talking head' artificial tutorial agents are already on the market.
Parsing technology traditionally consists of two branches, which correspond to the two main application areas of context-free grammars and their generalizations.
Speech--to--Speech Translation: a Massively Parallel Memory-Based Approach describes one of the world's first successful speech--to--speech machine translation systems.
Reversible grammar allows computational models to be built that are equally well suited for the analysis and generation of natural language utterances.
In this brief, the authors discuss recently explored spectral (sub-segmental and pitch synchronous) and prosodic (global and local features at word and syllable levels in different parts of the utterance) features for discerning emotions in a robust manner.
"e;Mobile Speech and Advanced Natural Language Solutions"e; presents the discussion of the most recent advances in intelligent human-computer interaction, including fascinating new study findings on talk-in-interaction, which is the province of conversation analysis, a subfield in sociology/sociolinguistics, a new and emerging area in natural language understanding.
Data driven methods have long been used in Automatic Speech Recognition (ASR) and Text-To-Speech (TTS) synthesis and have more recently been introduced for dialogue management, spoken language understanding, and Natural Language Generation.
Cross-Word Modeling for Arabic Speech Recognition utilizes phonological rules in order to model the cross-word problem, a merging of adjacent words in speech caused by continuous speech, to enhance the performance of continuous speech recognition systems.
Extraction and Representation of Prosodic Features for Speech Processing Applications deals with prosody from speech processing point of view with topics including: The significance of prosody for speech processing applicationsWhy prosody need to be incorporated in speech processing applicationsDifferent methods for extraction and representation of prosody for applications such as speech synthesis, speaker recognition, language recognition and speech recognitionThis book is for researchers and students at the graduate level.
Predicting Prosody from Text for Text-to-Speech Synthesis covers the specific aspects of prosody, mainly focusing on how to predict the prosodic information from linguistic text, and then how to exploit the predicted prosodic knowledge for various speech applications.
Cognitive and Computational Strategies for Word Sense Disambiguation examines cognitive strategies by humans and computational strategies by machines, for WSD in parallel.
