The Challenge of Spoken Language Systems: Research Directions for the Nineties

A spoken language system combines speech recognition, natural language processing and human interface technology. It functions by recognizing the person's words, interpreting the sequence of words to obtain a meaning in terms of the application, and providing an appropriate response back to the user. Potential applications of spoken language systems range from simple tasks, such as retrieving information from an existing database (traffic reports, airline schedules), to interactive problem solving tasks involving complex planning and reasoning (travel planning, traffic routing), to support for multilingual interactions. We examine eight key areas in which basic research is needed to produce spoken language systems: (1) robust speech recognition; (2) automatic training and adaptation; (3) spontaneous speech; (4) dialogue models; (5) natural language response generation; (6) speech synthesis and speech generation; (7) multilingual systems; and (8) interactive multimodal systems. In each area, we identify key research challenges, the infrastructure needed to support research, and the expected benefits. We conclude by reviewing the need for multidisciplinary research, for development of shared corpora and related resources, for computational support and far rapid communication among researchers. The successful development of this technology will increase accessibility of computers to a wide range of users, will facilitate multinational communication and trade, and will create new research specialties and jobs in this rapidly expanding area

The Challenge of Spoken Language Systems: Research Directions for the Nineties

A spoken language system combines speech recognition, natural language processing and human interface technology. It functions by recognizing the person's words, interpreting the sequence of words to obtain a meaning in terms of the application, and providing an appropriate response back to the user. Potential applications of spoken language systems range from simple tasks, such as retrieving information from an existing database (traffic reports, airline schedules), to interactive problem solving tasks involving complex planning and reasoning (travel planning, traffic routing), to support for multilingual interactions. We examine eight key areas in which basic research is needed to produce spoken language systems: (1) robust speech recognition; (2) automatic training and adaptation; (3) spontaneous speech; (4) dialogue models; (5) natural language response generation; (6) speech synthesis and speech generation; (7) multilingual systems; and (8) interactive multimodal systems. In each area, we identify key research challenges, the infrastructure needed to support research, and the expected benefits. We conclude by reviewing the need for multidisciplinary research, for development of shared corpora and related resources, for computational support and far rapid communication among researchers. The successful development of this technology will increase accessibility of computers to a wide range of users, will facilitate multinational communication and trade, and will create new research specialties and jobs in this rapidly expanding area

META-NET Strategic Research Agenda for Multilingual Europe 2020

In everyday communication, Europe’s citizens, business partners and politicians are inevitably confronted with language barriers. Language technology has the potential to overcome these barriers and to provide innovative interfaces to technologies and knowledge. This document presents a Strategic Research Agenda for Multilingual Europe 2020. The agenda was prepared by META-NET, a European Network of Excellence. META-NET consists of 60 research centres in 34 countries, who cooperate with stakeholders from economy, government agencies, research organisations, non-governmental organisations, language communities and European universities. META-NET’s vision is high-quality language technology for all European languages. “The research carried out in the area of language technology is of utmost importance for the consolidation of Portuguese as a language of global communication in the information society.” — Dr. Pedro Passos Coelho (Prime-Minister of Portugal) “It is imperative that language technologies for Slovene are developed systematically if we want Slovene to flourish also in the future digital world.” — Dr. Danilo Türk (President of the Republic of Slovenia) “For such small languages like Latvian keeping up with the ever increasing pace of time and technological development is crucial. The only way to ensure future existence of our language is to provide its users with equal opportunities as the users of larger languages enjoy. Therefore being on the forefront of modern technologies is our opportunity.” — Valdis Dombrovskis (Prime Minister of Latvia) “Europe’s inherent multilingualism and our scientific expertise are the perfect prerequisites for significantly advancing the challenge that language technology poses. META-NET opens up new opportunities for the development of ubiquitous multilingual technologies.” — Prof. Dr. Annette Schavan (German Minister of Education and Research

LANGUAGE STRATEGIES IN INTERNATIONAL BUSINESS: NEW PROSPECTS FOR NEGOTIATION AND CONFLICT MANAGEMENT

With the COVID-19 pandemic of 2020 — when negotiations have been almost exclusively carried out in online settings — there is a growing need for research which addresses this new norm. This dissertation explores how linguistic cues can corroborate or challenge the established measures in negotiation and conflict management research. The overarching objective is to study the interdependence of language and culture in the presence of technology within the domain of international negotiations and conflict resolution. The first essay of the dissertation addresses the anomalies regarding the use of the two major negotiation strategies identified by prior research – questions and answers (Q&A) and substantiation and offers (S&O) – and their effectiveness across cultures. I triangulate between cognitive methods utilized in negotiations research (mental model convergence, fixed-pie bias), linguistic cues (words with positive and negative connotations), and language style matching (LSM), a novel analysis in international buyer-seller negotiations. Based on an online negotiation simulation between representatives of a high-context (Hong Kong Chinese) and low-context (U.S.) communication culture (total sample size is 300) and subsequent linguistic analysis of the transcripts, the essay questions the notion of normative strategy; shows the conditions when the strategies have an integrative versus distributive character; identifies cognitive mechanisms which explain why S&O might be more beneficial than Q&A in a high-context communication culture; and clarifies in which cultural contexts the index of language style matching reflects a deeper, cognitive simmilarity and in which an automatic process. The second essay is a systematic literature review of studies about language in international conflict management research. The essay emphasizes a positive potential of a conflict and suggests how it can be achieved linguistically in an intercultural environment. It shows how language can give a dynamic process to conflict management. Unlike the static view of conflict, the proposed theoretical framework underscores the importance of poly-contextual behavior, i.e., how the behavior changes across contexts. By focusing on the multilingualism, the essay further disentangles language and culture, which are often mixed together. The essay suggests short term and long term strategies for a dynamic conflict de-escalation in the domain of international business