Tài liệu Báo cáo khoa học: "A Phonotactic Language Model for Spoken Language Identification" pptx

... paper, we formulate ex- tractive summarization as a two step learn- ing problem building a generative model for pattern discovery and a regression model for inference. We calculate scores for sentences ... approaches for MDS as presented in this paper. In this paper, we present a novel approach that formulates MDS as a prediction problem based on a two-step hybrid model: a genera...

Ngày tải lên: 20/02/2014, 04:20

... sentiment lexicon-based method for opinion identification and a conventional information retrieval method for relevance detection. (3) ROSC: This was the model which achieved the best run ... contextual information to express relevant opi- nion, and inter-sentence information to measure the degree of each word pair through a graph-based model in the following section. 3.2...

Ngày tải lên: 20/02/2014, 04:20

... re-ranking model performs rather well for a limited number of candidate structures, and out- performs Charniak’s model when k = 5. In this case we observe a small boost in performance for the detection ... consistently outper- forms the PCFG model on this metric, as for UAS, and BAS. Concerning the other metrics, as the number of k-best candidates increases, the PCFG model outpe...

Ngày tải lên: 20/02/2014, 04:20

... sentence. Table 4: The joint model results without deleting the exist spaces As shown above, the performance is dependent of the language model (n-gram) performance. Jaso transition probabilities ... 61–64, Prague, June 2007. c 2007 Association for Computational Linguistics A Joint Statistical Model for Simultaneous Word Spacing and Spelling Error Correction for Korea...

Ngày tải lên: 20/02/2014, 12:20

... is obtained for this model. The ’SWAP & OR’ model uses an orientation model as described in Section 3. Here, we obtain a small but significant improvement over the base- line model. Line shows ... memory. For blocks with neutral orientation , we train a separate model that does not use the orientation model feature or the binary features. E.g. for the results in line in Tab...

Ngày tải lên: 20/02/2014, 15:20

... cues for repair processing. Discussion In this paper, we have presented a"speech-first" model, the Repair Interval Model, for studying repairs in spon- taneous speech. This model ... spontaneous speech pose serious prob- lems for spoken language systems. First, a speaker may produce a partial word or FRAGMENT, a string of phonemes that does not form the complete...

Ngày tải lên: 20/02/2014, 21:20

... meaning representation, rather than for restricted queries. A database, given the purposes for which it is designed, cannot constitute a full model for such a language. Thus, the terminological ... exists for physician SPECIALTIES, we can nonetheless give a rule for this predicate in way that is uniform with the rule given for the predicate PATIENTS. 2This term, while a...

Ngày tải lên: 21/02/2014, 20:20

... performance on the statistical spoken language understanding (SLU) problem. The statistical natural language parsers trained on text perform unreliably to encode non-local informa- tion on spoken ... selec- tion algorithm is very efficient for both perfor- mance and time complexity. 2 Spoken Language Understanding as a Sequential Labeling Problem 2.1 Spoken Language Understan...

Ngày tải lên: 20/02/2014, 12:20

... posterior probability) for each word in the lattice. A simple dynamic programming algorithm which is a variation on the standard forward-backward al- gorithm can be employed for performing this com- putation. ... index size for various pruning thresholds applied to the lat PSPL. MAP performance increases with PSPL depth, as expected. A good compromise between accuracy and index size is...

Ngày tải lên: 20/02/2014, 15:20

... presented a probabilistic topic model to be used as a context model for spoken dialogue systems. The model combines both top-down and bottom-up approaches to topic modelling: the topic tree, ... for the word recognition: compared to a general language model trained on non-tagged dialogues, perplexity decreases by 20 % for a language model which is trained on topi...

Ngày tải lên: 20/02/2014, 18:20