This paper presents an automatic speech translation system aimed at live subtitling of conference presentations. We describe the overall architecture and key processing components. More importantly, we explain our strategy for building a complex system for end-users from numerous individual components, each of which has been tested only in laboratory conditions. The system is a working prototype that is routinely tested in recognizing English, Czech, and German speech and presenting it translated simultaneously into 42 target languages.

We describe our experience with providing automatic simultaneous spoken language translation for an event with human interpreters. We provide a detailed overview of the systems we use, focusing on their interconnection and the issues it brings. We present our tools to monitor the pipeline and a web application to present the results of our SLT pipeline to the end users. Finally, we discuss various challenges we encountered, their possible solutions and we suggest improvements for future deployments.

ELITR (European Live Translator) project aims to create a speech translation system for simultaneous subtitling of conferences and online meetings targetting up to 43 languages. The technology is tested by the Supreme Audit Office of the Czech Republic and by alfaview®, a German online conferencing system. Other project goals are to advance document-level and multilingual machine translation, automatic speech recognition, and automatic minuting.

This paper presents our progress towards deploying a versatile communication platform in the task of highly multilingual live speech translation for conferences and remote meetings live subtitling. The platform has been designed with a focus on very low latency and high flexibility while allowing research prototypes of speech and text processing tools to be easily connected, regardless of where they physically run. We outline our architecture solution and also briefly compare it with the ELG platform. Technical details are provided on the most important components and we summarize the test deployment events we ran so far.

This paper describes the building of a valency lexicon of Arabic verbs using a morphologically and syntactically annotated corpus, the Prague Arabic Dependency Treebank (PADT), as its primary source. We present the theoretical account on valency developed within the Functional Generative Description (FGD) theory. We apply the framework to Modern Standard Arabic and discuss various valency-related phenomena with respect to examples from the corpus. We then outline the methodology and the linguistic and technical resources used in the building of the lexicon. The key concept in our scenario is that of PDT-VALLEX of Czech. Our lexicon will be developed by linking the conceivable entries with their instances in the treebank. Conversely, the treebank’s annotations will be linked to the lexicon. While a comparable scheme has been developed for Czech, our own contribution is to design and implement this model thoroughly for Arabic and the PADT data. The Arabic valency lexicon is intended for applications in computational parsing or language generation, and for use by human researchers. The proposed valency lexicon will be exploited in particular during further tectogrammatical annotations of PADT and might serve for enriching the expected second edition of the corpus-based Arabic-Czech Dictionary.

In this paper, we report on several software implementations that we have developed within Prague Arabic Dependency Treebank or some other projects concerned with Arabic Natural Language Processing. We try to guide the reader through some essential tasks and note the solutions that we have designed and used. We as well point to third-party computational systems that the research community might exploit in the future work in this field.