Acoustic Modelling for Under-Resourced Languages

Automatic speech recognition systems have so far been developed only for very few languages out of the 4,000-7,000 existing ones. In this thesis we examine methods to rapidly create acoustic models in new, possibly under-resourced languages, in a time and cost effective manner. For this we examine the use of multilingual models, the application of articulatory features across languages, and the automatic discovery of word-like units in unwritten languages

ミャンマー語テキストの形式手法による音節分割、正規化と辞書順排列

国立大学法人長岡技術科学大

A computer-assisted pproach to the comparison of mainland southeast Asian languages

This cumulative thesis is based on three separate projects based on a computer-assisted language comparison (CALC) framework to address common obstacles to studying the history of Mainland Southeast Asian (MSEA) languages, such as sparse and non-standardized lexical data, as well as an inadequate method of cognate judgments, and to provide caveats to scholars who will use Bayesian phylogenetic analysis. The first project provides a format that standardizes the sound inventories, regulates language labels, and clarifies lexical items. This standardized format allows us to merge various forms of raw data. The format also summarizes information to assist linguists in researching the relatedness among words and inferring relationships among languages. The second project focuses on increasing the transparency of lexical data and cognate judg- ments with regard to compound words. The method enables the annotation of each part of a word with semantic meanings and syntactic features. In addition, four different conversion methods were developed to convert morpheme cognates into word cognates for input into the Bayesian phylogenetic analysis. The third project applies the methods used in the first project to create a workflow by merging linguistic data sets and inferring a language tree using a Bayesian phylogenetic algorithm. Further- more, the project addresses the importance of integrating cross-disciplinary studies into historical linguistic research. Finally, the methods we proposed for managing lexical data for MSEA languages are discussed and summarized in six perspectives. The work can be seen as a milestone in reconstructing human prehistory in an area that has high linguistic and cultural diversity

Methodology and algorithms for Urdu language processing in a conversational agent

This thesis presents the research and development of a novel text based goal-orientated conversational agent (CA) for the Urdu language called UMAIR (Urdu Machine for Artificially Intelligent Recourse). A CA is a computer program that emulates a human in order to facilitate a conversation with the user. The aim is investigate the Urdu language and its lexical and grammatical features in order to, design a novel engine to handle the language unique features of Urdu. The weakness in current Conversational Agent (CA) engines is that they are not suited to be implemented in other languages which have grammar rules and structure totally different to English. From a historical perspective CA’s including the design of scripting engines, scripting methodologies, resources and implementation procedures have been implemented for the most part in English and other Western languages (i.e. German and Spanish). The development of an Urdu conversational agent has required the research and development of new CA framework which incorporates methodologies and components in order overcome the language unique features of Urdu such as free word order, inconsistent use of space, diacritical marks and spelling. The new CA framework was utilised to implement UMAIR. UMAIR is a customer service agent for National Database and Registration Authority (NADRA) designed to answer user queries related to ID card and Passport applications. UMAIR is able to answer user queries related to the domain through discourse with the user by leading the conversation using questions and offering appropriate advice with the intention of leading the discourse to a pre-determined goal. The research and development of UMAIR led to the creation of several novel CA components, namely a new rule based Urdu CA engine which combines pattern matching and sentence/string similarity techniques along with new algorithms to process user utterances. Furthermore, a CA evaluation framework has been researched and tested which addresses the gap in research to develop the evaluation of natural language systems in general. Empirical end user evaluation has validated the new algorithms and components implemented in UMAIR. The results show that UMAIR is effective as an Urdu CA, with the majority of conversations leading to the goal of the conversation. Moreover the results also revealed that the components of the framework work well to mitigate the challenges of free word order and inconsistent word segmentation

The Social and Cultural Contexts of Historic Writing Practices

Writing is not just a set of systems for transcribing language and communicating meaning, but an important element of human practice, deeply embedded in the cultures where it is present and fundamentally interconnected with all other aspects of human life. The Social and Cultural Contexts of Historic Writing Practices explores these relationships in a number of different cultural contexts and from a range of disciplinary perspectives, including archaeological, anthropological and linguistic. It offers new ways of approaching the study of writing and integrating it into wider debates and discussions about culture, history and archaeology

The Social and Cultural Contexts of Historic Writing Practices

Writing is not just a set of systems for transcribing language and communicating meaning, but an important element of human practice, deeply embedded in the cultures where it is present and fundamentally interconnected with all other aspects of human life. The Social and Cultural Contexts of Historic Writing Practices explores these relationships in a number of different cultural contexts and from a range of disciplinary perspectives, including archaeological, anthropological and linguistic. It offers new ways of approaching the study of writing and integrating it into wider debates and discussions about culture, history and archaeology

Words in Space and Time

With forty-two extensively annotated maps, this atlas offers novel insights into the history and mechanics of how Central Europe’s languages have been made, unmade, and deployed for political action. The innovative combination of linguistics, history, and cartography makes a wealth of hard-to-reach knowledge readily available to both specialist and general readers. It combines information on languages, dialects, alphabets, religions, mass violence, or migrations over an extended period of time. The story first focuses on Central Europe’s dialect continua, the emergence of states, and the spread of writing technology from the tenth century onward. Most maps concentrate on the last two centuries. The main storyline opens with the emergence of the Western European concept of the nation, in accord with which the ethnolinguistic nation-states of Italy and Germany were founded. In the Central European view, a “proper” nation is none other than the speech community of a single language. The Atlas aspires to help users make the intellectual leap of perceiving languages as products of human history and part of culture. Like states, nations, universities, towns, associations, art, beauty, religions, injustice, or atheism—languages are artefacts invented and shaped by individuals and their groups

Indic Manuscript Cultures through the Ages

Stemming from the Sanskrit Manuscripts Project that ran in Cambridge (UK) in 2011-2014 and led to the cataloguing and partial digitization of the rich collections of South Asian manuscripts in the University Library, these essays explore the manuscript culture of India and beyond – Nepal, Cambodia, Tibet – from a variety of angles: books as artefacts, works of art, commodities, staples of tradition, and of course as repositories of knowledge