Machine Translation: A Knowledge-Based Approach
Machine Translation: A Knowledge-Based Approach
Evaluation of a practical interlingua for task-oriented dialogue
NAACL-ANLP-Interlinguas '00 Proceedings of the 2000 NAACL-ANLP Workshop on Applied interlinguas: practical applications of interlingual approaches to NLP - Volume 2
The NESPOLE! Speech-to-Speech Translation System
AMTA '02 Proceedings of the 5th Conference of the Association for Machine Translation in the Americas on Machine Translation: From Research to Real Users
ICMI '02 Proceedings of the 4th IEEE International Conference on Multimodal Interfaces
The NESPOLE! Multimodal Interface for Cross-lingual Communication - Experience and Lessons Learned
ICMI '02 Proceedings of the 4th IEEE International Conference on Multimodal Interfaces
Surface-marker-based dialog modelling: A progress report on the MAREDI project
Natural Language Engineering
Statistical Machine Translation with Scarce Resources Using Morpho-syntactic Information
Computational Linguistics
Spoken language parsing using phrase-level grammars and trainable classifiers
S2S '02 Proceedings of the ACL-02 workshop on Speech-to-speech translation: algorithms and systems - Volume 7
A multi-perspective evaluation of the NESPOLE!: speech-to-speech translation system
S2S '02 Proceedings of the ACL-02 workshop on Speech-to-speech translation: algorithms and systems - Volume 7
Japanese speech understanding using grammar specialization
HLT-Demo '05 Proceedings of HLT/EMNLP on Interactive Demonstrations
HLT '02 Proceedings of the second international conference on Human Language Technology Research
The NESPOLE! speech-to-speech translation system
HLT '02 Proceedings of the second international conference on Human Language Technology Research
Two-Stage Hypotheses Generation for Spoken Language Translation
ACM Transactions on Asian Language Information Processing (TALIP)
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NESPOLE! is a speech-to-speech machine translation research project funded jointly by the European Commission and the US NSF. The main goal of the NESPOLE! project is to advance the state-of-the-art of speech-to-speech translation in a real-world setting of common users involved in e-commerce applications. The project is a collaboration between three European research labs (IRST in Trento Italy, ISL at University of Karlsruhe in Germany, CLIPS at UJF in Grenoble France), a US research group (ISL at Carnegie Mellon in Pittsburgh) and two industrial partners (APT - the Trentino provincial tourism bureau, and Aethra - an Italian tele-communications commercial company). The speech-to-speech translation approach taken by the project builds upon previous work that the research partners conducted within the context of the C-STAR consortium (see http://www.c-star.org). The prototype system developed in NESPOLE! is intended to provide effective multi-lingual speech-to-speech communication between all pairs of four languages (Italian, German, French and English) within broad, but yet restricted domains. The first showcase currently under development is in the domain of tourism and travel information.