Beyong lexical meaning probabilistic models for sign language recognition

... SL recognition has focused on classifying the lexical meaning in signs This is understandable since the lexical information in signs does express the main information conveyed through signing For ... Model (MH-HMM) for continuous sign recognition Just as in the case for the BN, the MH-HMM models the probabilistic relationship between lexical meaning and inflections, a...

Ngày tải lên: 12/09/2015, 09:07

... empirical study of smoothing techniques for language modeling Computer Speech and Language, 13:359–394 Joshua T Goodman 2001 A bit of progress in language modeling Computer Speech and Language, 15:403–434 ... N-gram language models are then trained separately on the in-domain text and the the filtered web text If the amount of web text is very large, only a subset i...

Ngày tải lên: 22/02/2014, 02:20

... C) of word and concept sequences from an annotated corpus: k i=1 In the context of Spoken Language Understanding (SLU), concept classification is the task of associating the best sequence of concepts ... al., 2005) for development and evaluation of spoken understanding models and linguistic studies The corpus is composed of 1257 dialogs, from 250 different speakers, a...

Ngày tải lên: 08/03/2014, 21:20

... discussed in the introduction and in section 2, since CRFs and models for parsing constitute the main issue in our work, we discuss some important models here Beyond the models for parsing discussed in ... training time, which is a very good point when dealing with noisy data and big set of features 176 Models for Parsing Trees The models used in this work for pars...

Ngày tải lên: 24/03/2014, 03:20

Ngày tải lên: 31/03/2014, 17:20

... architecture of the ME approach is summarized in Figure For our approach, we determine the corresponding formal target language concept for each word of a natural language input Therefore, we distinguish ... Pr(e) Language Model 0 Target Language Text Figure 2: Architecture of the translation approach based on the source-channel paradigm Figure 3: Example of alignment...

Ngày tải lên: 31/03/2014, 20:20

... Uses of Unsupervised Learning $ data compression $ outlier detection $ classication $ make other learning tasks easier $ a theory of human learning and perception Probabilistic Models % A probabilistic ... ÔĂ  Unsupervised learning: The goal of the machine is to build representations from that can be used for reasoning, decision making, predicting things, communicating et...

Ngày tải lên: 24/04/2014, 13:20

... likelihood convergence Conditional Random Fields In what follows, X is a random variable over data sequences to be labeled, and Y is a random variable over corresponding label sequences All components ... minima Conditional random fields offer a unique combination of properties: discriminatively trained models for sequence segmentation and labeling; combination of arbi...

Ngày tải lên: 24/04/2014, 13:20

... introduces the proposed feature extraction schemes Mainly, they include motion representation through motion estimation, telescopic vector composition, motion residuals, and polar accumulated differences ... coding Feature vector (a) Time-dependent feature extraction In this approach, the motion vectors of each two successive images are estimated and split i...

Ngày tải lên: 22/06/2014, 19:20

... condition of the equipment CI Costs of performing an activity of inspection CM Costs of performing an activity of minor maintenance CMM Costs of performing an activity of major maintenance CF Costs of ... optimal maintenance policies, the effect of inspection and maintenance should be quantified in terms of reliability and costs Probabilistic maintenance...

Ngày tải lên: 08/09/2015, 19:22

... Conference on Speech Communication and Technology (Eurospeech ’99), pp 1515–1518, Budapest, Hungary, September 1999 [10] J Park and H Ko, “Achieving a reliable compact acoustic model for embedded speech ... whole acoustic space and subword units are separatly modelled At the upper level, a general GMM models the speech signal, state-dependent models being obtained by apply...

Ngày tải lên: 21/06/2014, 20:20

... identified 2.5 Issue 4: Signer Independence A practical requirement for a sign language recognition system is to be signer independent Presently, many of the continuous sign language recognition works ... the first sign YOU for signer is relatively higher than that for signer in relation to their bodies In addition, signer signs PRINTING twice while signer signs it once Variatio...

Ngày tải lên: 10/09/2015, 15:52

... (2007) use supertag n-gram LMs Syntactic language models have also been explored with tree-based translation models Charniak et al (2003) use syntactic language models to rescore the output of ... rigorous formal definition of incremental syntactic languages models, and detailed what steps are necessary to incorporate such LMs into phrase-based decoding We integrated an incr...

Ngày tải lên: 20/02/2014, 04:20

... parameters for this model using decision trees The history-based grammar model provides a mechanism for taking advantage of contextual information from anywhere in the discourse history Using decision ... difficulty in applying probabilistic models to natural language is deciding what aspects of the sentence and the discourse are relevant to the model Most previous probabilisti...

Ngày tải lên: 20/02/2014, 21:20

... Human-Computer Dialogue Simulation Using Hidden Markov Models In Proc of ASRU, pages 290–295 Nina Dethlefs and Heriberto Cuay´ huitl 2010 Hia erarchical Reinforcement Learning for Adaptive Text Generation ... probability, derived from the Forward algorithm, of an observation sequence to inform the agent’s learning process r =            +1 for for -2 for    ...

Ngày tải lên: 07/03/2014, 22:20