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» A Probability Model to Improve Word Alignment
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RECOMB
2003
Springer
14 years 8 months ago
Accurate detection of very sparse sequence motifs
Protein sequence alignments are more reliable the shorter the evolutionary distance. Here, we align distantly related proteins using many closely spaced intermediate sequences as ...
Andreas Heger, Michael Lappe, Liisa Holm
BMCBI
2006
86views more  BMCBI 2006»
13 years 7 months ago
MCALIGN2: Faster, accurate global pairwise alignment of non-coding DNA sequences based on explicit models of indel evolution
Background: Non-coding DNA sequences comprise a very large proportion of the total genomic content of mammals, most other vertebrates, many invertebrates, and most plants. Unravel...
Jun Wang, Peter D. Keightley, Toby Johnson
ICASSP
2011
IEEE
12 years 11 months ago
Automatically finding semantically consistent n-grams to add new words in LVCSR systems
This paper presents a new method to automatically add n-grams containing out-of-vocabulary (OOV) words to a baseline language model (LM), where these n-grams are sought to be gram...
Gwénolé Lecorvé, Guillaume Gr...
NIPS
2000
13 years 9 months ago
A Neural Probabilistic Language Model
A goal of statistical language modeling is to learn the joint probability function of sequences of words in a language. This is intrinsically difficult because of the curse of dim...
Yoshua Bengio, Réjean Ducharme, Pascal Vinc...
RECOMB
2003
Springer
14 years 8 months ago
Haplotype reconstruction from SNP alignment
In this paper, we describe a method for statistical reconstruction of haplotypes from a set of aligned SNP fragments. We consider the case of a pair of homologous human chromosome...
Lei Li, Jong Hyun Kim, Michael S. Waterman