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On the String Translations Produced by Multi Bottom–Up Tree Transducers
String Translations Produced Multi Bottom–Up Tree Transducers
2015/9/10
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...
Hierarchical Phrase-Based Translation with Weighted Finite-State Transducers and Shallow-n Grammars
Hierarchical Phrase-Based Translation Weighted Finite-State Transducers Shallow-n Grammars
2015/9/8
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...
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-...
Machine Translation with Inferred Stochastic Finite-State Transducers
Stochastic Finite-State Transducers Machine Translation
2015/8/31
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...
Learning Dependency Translation Models as Collections of Finite-State Head Transducers
Translation Models Finite-State Head Transducers
2015/8/25
The paper defines weighted head transducers, finite-state machines that perform middle-out string
transduction. These transducers are strictly more expressive than the special case of sta...
Applications of Finite-State Transducers in Natural-Language Processing
Finite-State Transducers Natural-Language Processing
2015/6/18
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...
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
Speech Recognition Transducers
2015/3/11
Incremental Language Models for Speech Recognition using Finite-State Transducers.
Context-dependent Probabilistic Hierarchical Sub-lexical Modelling Using Finite State Transducers
Sub-lexical Modelling Finite State Transducers
2015/3/11
Context-dependent Probabilistic Hierarchical Sub-lexical Modelling Using Finite State Transducers.
An Efficient Implementation of Phonological Rules using Finite-State Transducers
Phonological Rules Finite-State Transducers
2015/3/11
An Efficient Implementation of Phonological Rules using Finite-State Transducers.
EM Training of Finite-State Transducers and Its Application to Pronunciation Modeling
Finite-State Transducers Pronunciation Modeling
2015/3/11
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 Using Shallow Parsing Finite State Transducers
2015/3/11
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
Dynamic Grammars Finite-State Transducers
2015/3/11
Speech Recognition with Dynamic Grammars Using Finite-State Transducers.
Flexible Multi-Stream Framework for Speech Recognition Using Multi-Tape Finite-State Transducers
Speech Recognition Multi-Tape Finite-State Transducers
2015/3/10
Flexible Multi-Stream Framework for Speech Recognition Using Multi-Tape Finite-State Transducers.
FLEXIBLE MULTI-STREAM FRAMEWORK FOR SPEECH RECOGNITION USING MULTI-TAPE FINITE-STATE TRANSDUCERS
FLEXIBLE MULTI-STREAM FRAMEWORK SPEECH RECOGNITION MULTI-TAPE FINITE-STATE TRANSDUCERS
2014/11/27
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 ...