to be translated into shorter sentences. A probabilistic score is assigned to each proposed correspondence of sentences, based on the scaled difference of lengths of the two sentences (in characters) and the variance of this difference. This probabilistic score is used in a dynamic programming framework to find

We describe MUSCLE, a new computer program for creating multiple alignments of protein sequences. Elements of the algorithm include fast distance estimation using kmer counting, progressive alignment using a new profile function we call the logexpectation score, and refinement using tree

as the first two terms in a series expansion for the residue probability distributions in the protein database; the decoupling of the distance and environment dependencies of the distributions resolves the major problems with current database-derived scoring functions noted by Thomas and Dill. The simulated

Opinion mining (OM) is a recent subdiscipline at the crossroads of information retrieval and computational linguistics which is concerned not with the topic a document is about, but with the opinion it expresses. OM has a rich set of applications, ranging from tracking users’ opinions about

In this paper we propose a novel method for learning a Mahalanobis distance measure to be used in the KNN classification algorithm. The algorithm directly maximizes a stochastic variant of the leave-one-out KNN score on the training set. It can also learn a low-dimensional linear embedding

results are obtained when LDA is followed by WCCN. We achieved an equal error rate (EER) of 1.12 % and MinDCF of 0.0094 using the cosine distance scoring on the male English trials of the core condition of the NIST 2008 Speaker Recognition Evaluation dataset. We also obtained 4 % absolute EER improvement

is used in this work to investigate the effects of scoring table and gap penalties on database searches. Studies on three families of proteins, 4Fe-4S ferredoxins, lysR bacterial regu-latory proteins, and bacterial RNA polymerase sigma factors lead to the following conclusions: Sequence families are quite

A major issue in understanding how language is implemented in the brain involves understanding the use of language in language comprehension and production. How-ever, before we look to the brain to see what areas are associated with language processing phenomena, it is necessary to have good psychological theories of the relevant behavioral phenomena. Recent results have suggested that constructing an interpretation for a sentence involves the moment-by-moment integration of a variety of different information sources, constrained by the available computational resources

group and test language. Correlations between the intelligibility scores and linguistic distance scores showed that intelligibility can to a large extent be predicted by phonetic distances, while intelligibility is less predictable on the basis of lexical distances. doi: 10.2167/jmmd511.0

across cul-tural and linguistic boundaries... [T]he Chinese and Indian entrepreneurs of Silicon Valley... are creating social structures that enable even the smallest producers to locate and maintain mutually beneficial collabo-rations across long distances. [AnnaLee Saxenian 1999, pp. 54–55] 1.