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This book provides an overview of a recent and flexible approach to speech synthesis design to develop the first statistical parametric speech synthesizer for Ibibio, a West African tonal language. The design precludes the inflexibility encountered when modeling tonal features of the language and can be used for other tonal African languages. Mobile use and technological innovations in developing African nations have exploded. With mobile technology, many of the barriers caused by infrastructure issues have vanished. In order to address issues that are unique to African tonal languages, the book uses Ibibio as a model. The text reviews the language's speech characteristics, required for building the front end components of the design and propose a finite state transducer (FST), useful for modelling the language’s tonetactics. The statistical parametric approach discussed in the text, implements the Hidden Markov Model (HMM) technique, with the goal of creating a generic structure that learns the model from the text itself, and uses the data-driven approach to input specification.
This book provides a broad overview of current work on South African languages, language resources and language technologies. While it provides a fairly comprehensive overview, it also ties together the most recent knowledge state here, and is therefore truly innovative ? The book is therefore informed by current international trends in the respective fields of science, and feeds back into them ? There is absolutely no doubt that the book has an academic peer audience and is directed at specialists in the field. - Prof. Axel Fleisch, University of Helsinki, Finland
This book constitutes the refereed proceedings of the 8th Language and Technology Conference: Challenges for Computer Science and Linguistics, LTC 2017, held in Poznan, Poland, in November 2017. The 26 revised papers presented in this volume were carefully reviewed and selected from 97 submissions. The papers selected to this volume belong to various fields of: Language Resources, Tools and Evaluation, Less-Resourced-Languages, Speech Processing, Morphology, Computational Semantics, Machine Translation, and Information Retrieval and Information Extraction.
"Language is more than a tool of conveying information; it is utilized in all aspects of our lives. Yet only a small number of languages in the 7,000 languages worldwide are highly resourced by human language technologies (HLT). Despite African languages representing over 2,000 languages, only a few African languages are highly resourced, for which there exists a considerable amount of parallel digital data. We present a novel approach to machine translation (MT) for under-resourced languages by improving the quality of the model using a paradigm called 'humans in the Loop.' This thesis describes the work carried out to create a Bambara-French MT system including data discovery, data preparation, model hyper-parameter tuning, the development of a crowdsourcing platform for humans in the loop, vocabulary sizing, and segmentation. [...] We achieved a BLEU (bilingual evaluation understudy) score of 17.5. The results confirm that MT for Bambara, despite our small data set, is viable. This work has the potential to contribute to the reduction of language barriers between the people of Sub-Saharan Africa and the rest of the world."--Abstract.
With increasing numbers of computers and diffusion of the internet around the world, localisation of the technology, and the content it carries, into the many languages people speak is becoming an ever more important area for discussion and action. Localisation, simply put, includes translation and cultural adaptation of user interfaces and software applications, as well as the creation and translation of internet content in diverse languages. It is essential in making information and communication technology more accessible to the populations of the poorer countries, increasing its relevance to their lives, needs, and aspirations, and ultimately in bridging the 'digital divide'.
Afrikaans -- Automatic speech recognition -- Lemmatisation -- Resource-scarce languages -- Human language technology -- Resource development -- Outomatiese spraakherkenning -- Lemma-identifisering -- Hulpbronskaars tale -- Mensetaaltegnologie -- Hulpbronontwikkeling.
The book presents selected papers from the 18th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, held on December 16–18, 2022, in Kitakyushu, Japan. It is divided into two volumes and discusses latest research outcomes in the field of Information Technology (IT) including but not limited to information hiding, multimedia signal processing, big data, data mining, bioinformatics, database, industrial and internet of things, and their applications.
This book challenges the view that digital communication in Africa is limited and relatively unsophisticated and questions the assumption that digital communication has a damaging effect on indigenous African languages. The book applies the principles of Digital African Multilingualism (DAM) in which there are no rigid boundaries between languages. The book charts a way forward for African languages where greater attention is paid to what speakers do with the languages rather than what the languages look like, and offers several models for language policy and planning based on horizontal and user-based multilingualism. The chapters demonstrate how digital communication is being used to form and sustain communication in many kinds of online groups, including for political activism and creating poetry, and offer a paradigm of language merging online that provides a practical blueprint for the decolonization of African languages through digital platforms.