Research on Architectures for Integrated Speech/Language Systems in Verbmobil

The German joint research project Verbmobil (VM) aims at the development of a speech to speech translation system. This paper reports on research done in our group which belongs to Verbmobil's subproject on system architectures (TP15). Our specific research areas are the construction of parsers for spontaneous speech, investigations in the parallelization of parsing and to contribute to the development of a flexible communication architecture with distributed control.Comment: 6 pages, 2 Postscript figure

Parallelisierung eines inkrementellen aktiven Chart-Parsers

This documentation describes an interface ADT called the "Verbmobil Interface Term" (VIT) used in the "Verbmobil Forschungsprototyp" (FP) in several software components. We present the contents of the VIT and the ADT package for Prolog components of the FP. Among others the ADT package can be used for creating, for manipulating, for printing and for checking the contents of a VIT

Parsing N Best Trees from a Word Lattice

. This article describes a probabilistic context free grammar approximation method for unification grammars. In order to produce good results, the method is combined with an N best parsing extension to chart parsing. The first part of the paper introduces the grammar approximation method, while the second part describes details of an efficient N-best packing and unpacking scheme for chart parsing. 1 Introduction Recently much attention has been payed to the integration of speech and language technology 1 . The concentration on spontaneous speech understanding led to the definition of a robust interface known as the word graph or word lattice between recognition and understanding. Depending on the application, systems are built to provide a shallow stochastic analysis or a deep linguistic analysis of the word lattice. Using a shallow stochastic approach, a rough template-based analysis can be achieved which makes sense in those cases where a fine grained reconstruction of meanings is..

Some Recognition Results for INTARC 2.0

This report presents some word recognition results on the speech-to-speech translation system INTARC 2.0. Our research goal was to build a system with a cognitive oriented architecture. The main topics are incremental, time-synchronous and interactive processing. All modules work on the same time segment processing the signal from left to right. Analyses - even partial ones - are passed as soon as possible. Figure 1 shows the overall structure of the system. Details of the architecture of parts of INTARC 2.0 can be found in [1]1