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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...
We present a statistical machine translation model that uses hierarchical phrases—phrases that contain subphrases. The model is formally a synchronous context-free grammar but is learned from a para...
Experimental tests of a hierarchical model of word identification.
While phrase-based statistical machine translation systems currently deliver state-of-theart performance, they remain weak on word order changes. Current phrase reordering models can properly handle s...
Query understanding has been well studied in the areas of information retrieval and spoken language understanding (SLU). There are generally three layers of query understanding: domain classification,...
In this paper we propose discriminative training of hierarchical acoustic models for large vocabulary continuous speech recognition tasks. After presenting our hierarchical modeling framework, we desc...
In this paper we present a hierarchical large-margin Gaussian mixture modeling framework and evaluate it on the task of phonetic classification. A two-stage hierarchical classifier is trained by alter...
The hierarchical phrase-based (HPB) transla-tion exploits the power of grammar to perform long distance reorderings, without specifying nonterminal orientations against adjacent blocks or considering ...
This paper presents a unified approach for Chinese lexical analysis using hierarchical hidden Markov model (HHMM), which aims to incorporate Chinese word seg-mentation, Part-Of-Speech tagging, dis-amb...
Automatic image annotation concerns a process of automatically labeling image contents with a pre-defined set of keywords, which are regarded as descriptors of image high-level semantics, so as to ena...

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