Báo cáo khoa học: "Self-Organizing Ò-gram Model for Automatic Word Spacing" ppt

... three lectures is- used for estimating the optimal word block length for representing nodes, the threshold distances for discarding node edges, the number of uniform chunks for estimating tf-idf ... did not try to ad- just our model to optimize its performance on the synthetic data. The smoothing method developed for lecture segmentation may not be appropriate for short segmen...

Ngày tải lên: 20/02/2014, 11:21

... use a nearly identical model to the FLAT model, but instead of having a single m variable, we have three: one for IE, one for Austronesian and one for “all languages.” For a general tree, we ... in Figure 3 (on a log-scale for the x-axis). The two best-performing models are the two hier- archical models. The flat model does significantly worse and the random model does terribly...

Ngày tải lên: 08/03/2014, 02:21

... potential Hebrew word forms for each Ugaritic word. By intersecting two such FSAs and mini- mizing the result we can efficiently represent all potential Hebrew words for a particular Ugaritic word. We ... longer independent, they form a Markov chain whose sta- tionary distribution is the true joint distribution de- fined by the model (Geman and Geman, 1984). 6.1 Sampling Word Analys...

Ngày tải lên: 17/03/2014, 00:20

... dependency structures are provided for every sentence. This as- sumption allows us to construct models of seman- tics not Markovian within a sequence of words (see for an example a model described in (Liang ... θ c,t [draw sem class for arg] GenSemClass(c  c,t ) [recurse] Figure 2: The generative story for the Bayesian model for unsupervised semantic parsing. tributions over sy...

Ngày tải lên: 23/03/2014, 16:20

... This model allows easy in- tegration of context-specific features. Our experiments show that this model can be an effective tool for improving an existing word alignment. 1 Introduction Word alignments ... alter- native model. Without using any features, our model is similar to IBM’s Model 1, in that they both take into account only the word types that participate in a given...

Ngày tải lên: 17/03/2014, 06:20

... non-transliteration word pair, the characters of the source and target words are unrelated. We model them as randomly seeing a source word and a target word together. The non-transliteration model uses ... that the word- aligned list is missing some transliteration pairs because of word- alignment errors. We built an- other list by adding a word pair for every source word th...

Ngày tải lên: 19/02/2014, 19:20

... all models, and for the LM we use an interpolated Kneser-Ney 5-gram model. For GIZA ++, we use the standard training reg- imen up to Model 4, and combine alignments with grow-diag-final-and. For ... will call HEUR-W as it generates word alignments. It should be noted that forcing align- ments smaller than the model suggests is only used for generating alignments for use in he...

Ngày tải lên: 20/02/2014, 04:20

... University) for excellent technical assistance. This work was supported by grants from the Swedish Foundation for Health Care Sciences and Allergy Research, the Swedish Research Council for Medicine ... the fate of an aller- gen upon inhalation, we addressed this issue for a major dust mite allergen, Der p 2. First, a model for Der p 2-sensitization was established in C57BL ⁄ 6 J...

Ngày tải lên: 07/03/2014, 21:20

... different qualities. For example, both topic “css test” and “test suite” are the bi-gram matching for query “css test suite”; however, the former might be more informative. To model that, we use ... results of our prob- abilistic model for fine-grained expert search with automatic expert search systems from the TREC evaluation. The performance of our proposed model is rather...

Ngày tải lên: 08/03/2014, 01:20

... study. 898 W WORDS words & punctuation WT W (see above) POSONLY POS tag for each word WORD/POS word/ POS pair for each word WTL WT (see above) FORCEPRED T if clause (or preceding clause) contains force ... aspectual classification. 5 Models We consider two types of models for the automatic classification of situation entities. The first, a la- beling model, utilizes a maximum e...

Ngày tải lên: 08/03/2014, 02:21