Motivated by phrase-based translation research, we present a transliteration system where characters are grouped into substrings to be mapped atomically into the target language. We show how this substring representation can be incorporated into a Conditional Random Field model that uses local context and phonemic information.

RÉSUMÉ. Le travail présenté dans cet article vise à extraire automatiquement certaines caractéristiques de produits à partir de descriptions textuelles fournies par un site marchand. La constitution d’un corpus de référence annoté révèle certains problèmes, provenant à la fois des textes et des particularités de la tâche. Pour l’aborder, nous avons testé deux approches : une méthode d’extractio...

Intonation phrase length distribution is important information for prosodic break prediction. However, existing CRF frameworks cannot make full use of it. An expanded CRF is proposed in this paper to tackle this problem. Its lattice carries the location of previous intonation phrase (L3) break, and consequently makes it possible to support various dynamic features, such as the number of syllabl...

Article history: Received 18 May 2007 Received in revised form 1 October 2008 Accepted 24 May 2009

Area sources are a key contributor to overall greenhouse gas emissions but present a particular challenge to emission measurement techniques due to the heterogeneous nature of the sources. A new Controlled Release Facility (CRF) has been developed that is able to recreate in the field both the distribution and rate of emissions seen in actual industrial applications. The results of a series of ...

The Center for Disease Control and Prevention’s Active Bacterial Core Surveillance (CDC ABCs) Program is a collaborative effort betweeen the CDC, state health departments, laboratories, and universities to track invasive bacterial pathogens of particular importance to public health [1]. The year-end surveillance reports produced by this program help to shape public policy and coordinate respons...

In this paper we tackle the problem of clothing parsing: Our goal is to segment and classify different garments a person is wearing. We frame the problem as the one of inference in a pose-aware Conditional Random Field (CRF) which exploits appearance, figure/ground segmentation, shape and location priors for each garment as well as similarities between segments, and symmetries between different...

This paper presents our approach to dialog state tracking for the Dialog State Tracking Challenge task. In our approach we use discriminative general structured conditional random fields, instead of traditional generative directed graphic models, to incorporate arbitrary overlapping features. Our approach outperforms the simple 1-best tracking approach.

The use of hierarchical Conditional Random Field model deal with the problem of labeling images . At the time of labeling a new image, selection of the nearest cluster and using the related CRF model to label this image. When one give input image, one first use the CRF model to get initial pixel labels then finding the cluster with most similar images. Then at last relabeling the input image by...

The present study performs an investigation on several issues concerning the automatic detection of prominences. Its aim is to offer a better understanding of the prominence phenomenon in order to be able to improve existent prominence detection systems. The study is threefold: first, the presence of hidden dynamics in the sequence of prominent and non-prominent syllables is tested by comparing...