Natural occurrence and distribution

Mangroves are a diverse and rich ecosystem, in which many animals are associated, including benthos. Species composition and occurrence of these animals are driven by the mangroves and tidal conditions. To examine how the benthic animal is distributed in mangrove habitats from northern Vietnam, two surveys in 2019 were conducted in Tien Hai Wetland Nature Reserve, which resulted in a total of 89 species, belonging to 56 genera and 35 families of zoobenthos.

18p vicaptainmarvel 21-04-2023 6 2   Download

Microsatellites are a ubiquitous occurrence in prokaryotic and eukaryotic genomes. Microsatellites have become one of the most popular classes of genetic markers due to their high reproducibility, multi-allelic nature, co-dominant mode of inheritance, abundance and wide genome coverage.

10p vinarcissa 21-03-2023 6 1   Download

Extensive survey was conducted for collection of insects cadavers from agriculture fields and forest area and isolated different entomopathogenic fungi viz,. B. bassiana, M. anisopliae, Nomurea rileyi from different crops i.e. Soybean, groundnut, Pigeonpea crop insects. The infected insects cadavers was covered partially or fully with powdery white to green spores. Presence of powdery spores on insects revealed B. bassiana infection, green spores depicts infection of M. anisopliae or Nomuraea rileyi. N.

9p nguaconbaynhay3 07-02-2020 10 1   Download

We describe a novel method that extracts paraphrases from a bitext, for both the source and target languages. In order to reduce the search space, we decompose the phrase-table into sub-phrase-tables and construct separate clusters for source and target phrases. We convert the clusters into graphs, add smoothing/syntacticinformation-carrier vertices, and compute the similarity between phrases with a random walk-based measure, the commute time.

10p bunthai_1 06-05-2013 43 3   Download

This paper quantitatively investigates in how far local context is useful to disambiguate the senses of an ambiguous word. This is done by comparing the co-occurrence frequencies of particular context words. First, one context word representing a certain sense is chosen, and then the co-occurrence frequencies with two other context words, one of the same and one of another sense, are compared. As expected, it turns out that context words belonging to the same sense have considerably higher co-occurrence frequencies than words belonging to different senses. ...

4p bunthai_1 06-05-2013 33 1   Download

The degree of dominance of a sense of a word is the proportion of occurrences of that sense in text. We propose four new methods to accurately determine word sense dominance using raw text and a published thesaurus. Unlike the McCarthy et al. (2004) system, these methods can be used on relatively small target texts, without the need for a similarly-sensedistributed auxiliary text. We perform an extensive evaluation using artificially generated thesaurus-sense-tagged data.

8p bunthai_1 06-05-2013 48 2   Download

Research on the discovery of terms from corpora has focused on word sequences whose recurrent occurrence in a corpus is indicative of their terminological status, and has not addressed the issue of discovering terms when data is sparse. This becomes apparent in the case of noun compounding, which is extremely productive: more than half of the candidate compounds extracted from a corpus are attested only once. We show how evidence about established (i.e.

8p bunthai_1 06-05-2013 39 4   Download

This paper describes an analysis of telegraphic fragments as regular structures (not errors) handled by rn~n~nal extensions to a system designed for processing the standard language. The modular approach which has been implemented in the Unlsys natural language processing system PUNDIT is based on a division of labor in which syntax regulates the occurrence and distribution of elided elements, and semantics and pragumtics use the system's standard mechankms to interpret them.

10p bungio_1 03-05-2013 49 1   Download

We address the problem of clustering words (or constructing a thesaurus) based on co-occurrence data, and using the acquired word classes to improve the accuracy of syntactic disambiguation. We view this problem as that of estimating a joint probability distribution specifying the joint probabilities of word pairs, such as noun verb pairs. We propose an efficient algorithm based on the Minimum Description Length (MDL) principle for estimating such a probability distribution. Our method is a natural extension of those proposed in (Brown et al.

7p bunrieu_1 18-04-2013 34 3   Download