Ninh Binh province is well known as an area with famous karst landscape that likes inland HaLong Bay. An attractive and charming cave system is developed in Triasic limestones of the Dong Giao formation, created a wonderful sites for tourism. The exciting features of karst landforms in the Ninh Binh province are mogots. It is mogots make Ninh Binh province became inland HaLong Bay. In the study area most wide spread karst forms are: mogots, karst slope and peaks, karst remnant relief, karst relict relief, karst polje, karst dry valley and karst ponor and sinkholes.
The major obstacle in morphological (sometimes called morpho-syntactic, or extended POS) tagging of highly inflective languages, such as Czech or Russian, is - given the resources possibly available - the tagset size. Typically, it is in the order of thousands. Our method uses an exponential probabilistic model based on automatically selected features. The parameters of the model are computed using simple estimates (which makes training much faster than when one uses Maximum Entropy) to directly minimize the error rate on training data.
Vietnamese is spoken by about 80 millions people around the world, yet very few concrete works on this language have been noticed in Natural Language Processing (NLP) until now. Neither tools nor language resources are shared in public research. Except a few works carried out on English to Vietnamese, research in this domain has not until recently raised much attention amongst the scientific community in Vietnam.
Medina et al. Nanoscale Research Letters 2011, 6:369 http://www.nanoscalereslett.com/content/6/1/369
Hyperspectral optical imaging of two different species of lepidoptera
José Manuel Medina1*, Sérgio Miguel Cardoso Nascimento1 and Pete Vukusic2
Abstract In this article, we report a hyperspectral optical imaging application for measurement of the reflectance spectra of photonic structures that produce structural colors with high spatial resolution.
This paper describes an unsupervised dynamic graphical model for morphological segmentation and bilingual morpheme alignment for statistical machine translation. The model extends Hidden Semi-Markov chain models by using factored output nodes and special structures for its conditional probability distributions. It relies on morpho-syntactic and lexical source-side information (part-of-speech, morphological segmentation) while learning a morpheme segmentation over the target language. Our model outperforms a competitive word alignment system in alignment quality. ...