Title
Generalization of discriminative approaches for speech language understanding in a multilingual context
Abstract
Probabilistic approaches are now widespread in the various applications of natural language processing and elicitation of a particular approach usually depends on the task at hand. Targeting multilingual interpretation of speech, this paper presents a comparison between the state-of-the-art methods used for machine translation and speech understanding. This comparison justifies our proposition of a unified framework to perform a joint decoding which translates a sentence and assigns semantic tags to this translation in the same process. The decoding is achieved using a cascade of finite-state transducers allowing to compose translation and understanding hypothesis graphs. This representation is favorable as it can be generalized to allow rich transmission of information between the components of a human-machine vocal interface.
Year
DOI
Venue
2013
10.1007/978-3-642-39593-2_11
SLSP
Keywords
Field
DocType
hypothesis graph,finite-state transducers,natural language processing,particular approach,multilingual context,speech understanding,speech language understanding,human-machine vocal interface,machine translation,multilingual interpretation,joint decoding,probabilistic approach,discriminative approach
Proposition,Computer science,Machine translation,Speech recognition,Semantic HTML,Artificial intelligence,Natural language processing,Probabilistic logic,Decoding methods,Sentence,Discriminative model,Language understanding
Conference
Citations 
PageRank 
References 
1
0.35
28
Authors
3
Name
Order
Citations
PageRank
Bassam Jabaian1287.00
Fabrice Lefèvre218526.62
laurent besacier3696102.67