International Business Machines Corporation

Meir M Laker

Daniel Milch

Jonathan Lenchner

Sidney L Hantler

H Richard Gail

Sara H Basson

Hidayatullah Habeebullah Shaikh

Richard Thomas Goodwin

Rong Nickle Chang

Chang-Shing Perng

Pietro Mazzoleni

Kaan Kudsi Katircioglu

Tao Tao

John George Vergo

Edward Cholchin So

Nitinchandra R Nayak

Yexi Jiang

George B Leeman, Jr

Kember A-r Forcke

Mihwa Choi

Receiving a first model associated with a user, a generic model of a generic domain, and a specific domain having an associated domain-specific corpus. A first set of query terms based on elements of the first model, and a second set of query terms based on elements of the generic model, are determined. A third set of query terms is generated based on the first and second sets of query terms. The domain specific corpus is queried using the third set of query terms, and a domain specific model is generated based on results of the querying.

Platform for consulting solution

Methods and apparatus are provided for performing spelling corrections using one or more variant hash tables. The spelling of at least one candidate word is corrected by obtaining at least one variant dictionary hash table based on variants of a set of known correctly spelled words, wherein the variants are obtained by applying one or more of a deletion, insertion, replacement, and transposition operation on the correctly spelled words; obtaining from the candidate word one or more lookup variants using one or more of the deletion, insertion, replacement, and transposition operations; evaluating one or more of the candidate word and the lookup variants against the at least one variant dictionary hash table; and indicating a candidate correction if there is at least one match in the at least one variant dictionary hash table.

Methods and apparatus for performing spelling corrections using one or more variant hash tables

Methods and apparatus are provided for automatically detecting spelling errors in one or more documents, such as documents being processed for the creation of a lexicon According to one aspect of the invention, a spelling error is detected in one or more documents by determining if at least one given word in the one or more documents satisfies a predefined misspelling criteria, wherein the predefined misspelling criteria comprises the at least one given word having a frequency below a predefined low threshold and the at least one given word being within a predefined edit distance of one or more other words in the one or more documents having a frequency above a predefined high threshold; and identifying a given word as a potentially misspelled word if the given word satisfies the predefined misspelling criteria.

Method and apparatus for automatic detection of spelling errors in one or more documents

High level characteristics are extracted from a virtual machine provisioning request stream for a cloud computing environment. A plurality of prediction models are generated for a plurality of different types of virtual machines. A regression-correlation ensemble is applied to appropriate ones of the prediction models to predict future virtual machine demand for the cloud computing environment.

Cloud provisioning accelerator

A page-ranking method includes mining a portion of content of a user workstation which is connectable to a network to detect references to pages of the network. The pages may be ranked based on the detected references.

Page-ranking via user expertise and content relevance

Faults and errors are diagnosed from a repository of directed graphs. Subsets of all the possible questions and answers in the fault diagnosis process are encoded as directed graphs. Downloading subsets from a repository to a remote user substantially reduces the number of transmissions between the user and the repository.

Diagnosing faults and errors from a data repository using directed graphs

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Spring Valley, NY, United States of America

Meir M Laker