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The International Symposium on Instrumentation Systems, Circuits and Transducers - INSCIT is a forum dedicatedto the presentation and discussion of research and development in instrumentation focusing...
Tree transducers are defined as relations between trees, but in syntax-based machine translation, we are ultimately concerned with the relations between the strings at the yields of the input and outp...
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...
Training Tree Transducers     Computing language  Transducers       2015/9/6
Many probabilistic models for natural language are now written in terms of hierarchical tree structure. Tree-based modeling still lacks many of the standard tools taken for granted in (finite-...
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...
The paper denes weighted head transducers, finite-state machines that perform middle-out string transduction. These transducers are strictly more expressive than the special case of sta...
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...
CONSTRUCTING LEXICAL TRANSDUCERS     LEXICAL  TRANSDUCERS       2015/6/18
A lexical transducer, first discussed in Karttunen, Kaplan and Zaenen 1992, is a specialised finite-state automaton that maps inflected surface forms to lexical forms, and vice versa. The lexical form...
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.

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