Abstract: An injector for a combustor of a gas turbine engine is provided with a plurality of air/fuel mixing tubes divided into radially outer and radially inner subsets of air/fuel mixing tubes with a first fuel manifold in fluid communication with the radially outer subset of air/fuel mixing tubes and a second fuel manifold in fluid communication with the radially inner subset of air/fuel mixing tubes. Each of the air/fuel mixing tubes of the radially outer subset of air/fuel mixing tubes includes a substantially quadrilateral cross-sectional profile, and each of the air/fuel mixing tubes of the radially inner subset of air/fuel mixing tubes includes a substantially circular cross-sectional profile.

Abstract: A word-sense disambiguation service may be performed to determine the semantic context of an ambiguous targeted word in an electronic data corpus. The word-sense disambiguation service may determine the semantic context of the words in the electronic data corpus by evaluating a main word and the context words surrounding the main word in a portion of text, then determine which context words are useful in defining the semantic context of the main word. The word-sense disambiguation service may then cluster the defining context words together and use the defining context words to train a word-embedding model to recognize the semantic context of an instance of the main word based on the proximity of the defining context words to the main word. A context-sensitive service may then receive input of a desired target word, then retrieve and display the various semantic contexts of the desired target word using the results gathered by the word-sense disambiguation service.

Abstract: A word-sense disambiguation service may be performed to determine the semantic context of an ambiguous targeted word in an electronic data corpus. The word-sense disambiguation service may determine the semantic context of the words in the electronic data corpus by evaluating a main word and the context words surrounding the main word in a portion of text, then determine which context words are useful in defining the semantic context of the main word. The word-sense disambiguation service may then cluster the defining context words together and use the defining context words to train a word-embedding model to recognize the semantic context of an instance of the main word based on the proximity of the defining context words to the main word. A context-sensitive service may then receive input of a desired target word, then retrieve and display the various semantic contexts of the desired target word using the results gathered by the word-sense disambiguation service.