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In this article we describe HiFST, a lattice-based decoder for hierarchical phrase-based translation and alignment. The decoder is implemented with standard Weighted Finite-State Transducer (WFST) ope...
Finite-state transducers are models that are being used in different areas of pattern recognition and computational linguistics. One of these areas is machine translation, in which the approaches tha...
This pap er is a review of some of the ma jor applications of nite-state transducers in natural-language pro cessing ranging from morphological analysis to nite-state parsing. The analysis and gener...
Incremental Language Models for Speech Recognition using Finite-State Transducers.
Context-dependent Probabilistic Hierarchical Sub-lexical Modelling Using Finite State Transducers.
An Efficient Implementation of Phonological Rules using Finite-State Transducers.
EM Training of Finite-State Transducers and Its Application to Pronunciation Modeling.
Integration of Supra-Lexical Linguistic Models with Speech Recognition Using Shallow Parsing and Finite State Transducers.
Speech Recognition with Dynamic Grammars Using Finite-State Transducers.
Flexible Multi-Stream Framework for Speech Recognition Using Multi-Tape Finite-State Transducers.
We present an approach to general multi-stream recognition utilizing multi-tape finite-state transducers (FSTs). The approach is novel in that each of the multiple streams” of features can represent ...

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