Abstract: A system for training multilingual machine translation evaluation models and methods for making and using the same. The system can utilize a multilingual embedding space to leverage information from system inputs, including original source language, at least one machine translation of the original source language and at least one reference translation. The system can improve the accuracy of translation quality predictions by assigning a translation quality score based on the system inputs to be assigned to the machine translation. The translation quality score advantageously can demonstrate value added by using the original source language as an input to machine translation evaluation models.

Abstract: A rotatable joint, comprising: at least three bar connectors; an axis piece comprising a central pivot and at least one of the at least three bar connectors longitudinally aligned with the central pivot; and two rotatable joint pieces each comprising a bushing and at least one of the at least three bar connectors oriented along the diameter of the bushing and aligned along the axis of symmetry of the bushing, wherein the bushing of each of the two rotatable joints pieces is configured to slide over the central pivot thereby coupling the two bushings with the central pivot and allowing the rotatable joint pieces to rotate about the central pivot, and orient the bar connectors of the rotatable joint pieces perpendicular to the bar connector of the axis piece.

Abstract: A spring for connecting a pipe to a rod, the spring including a flat tab attached to a rod and aligned with a first face of the rod and a second unattached tab aligned with a second face of the rod that is opposite to the first face, and a diagonal bridge connecting the first flat tab and the second unattached tab, wherein the angle between the attached tab and the diagonal bridge is greater than 90° and a button located on the flat tab, wherein the button protrudes from a distal end of the rod when the spring is normally open, and wherein the button is configured to engage with a corresponding hole in a pipe.

Abstract: Technologies are disclosed for utilizing artificial intelligence-based machine translation to augment document summarization. Text can be extracted from a document in a first language. Machine translation can be utilized to translate the text from the first language to a second language. The translated text can be used to identify documents in the second language that include support for the translated text. A user interface can be provided that indicates the number of documents in the second language that provide support for the extracted text. Documents in the first language can also be translated to the second language. Documents that provide support for a text string can be identified in the documents translated to the second language and in other documents in the second language. A user interface can be provided that indicates the number of documents in the first language and the second language that provide support for the text.

Abstract: A machine translation system capable of clustering training data and performing dynamic domain adaptation is disclosed. An unsupervised domain clustering process is utilized to identify domains in general training data that can include in-domain training data and out-of-domain training data. Segments in the general training data are then assigned to the domains in order to create domain-specific training data. The domain-specific training data is then utilized to create domain-specific language models, domain-specific translation models, and domain-specific model weights for the domains. An input segment to be translated can be assigned to a domain at translation time. The domain-specific model weights for the assigned domain can be utilized to translate the input segment.

Abstract: Technologies are disclosed herein for statistical machine translation. In particular, the disclosed technologies include extensions to conventional machine translation pipelines: the use of multiple domain-specific and non-domain-specific dynamic language translation models and language models; cluster-based language models; and large-scale discriminative training. Incremental update technologies are also disclosed for use in updating a machine translation system in four areas: word alignment; translation modeling; language modeling; and parameter estimation. A mechanism is also disclosed for training and utilizing a runtime machine translation quality classifier for estimating the quality of machine translations without the benefit of reference translations.

Abstract: Technologies are disclosed herein for statistical machine translation. In particular, the disclosed technologies include extensions to conventional machine translation pipelines: the use of multiple domain-specific and non-domain-specific dynamic language translation models and language models; cluster-based language models; and large-scale discriminative training. Incremental update technologies are also disclosed for use in updating a machine translation system in four areas: word alignment; translation modeling; language modeling; and parameter estimation. A mechanism is also disclosed for training and utilizing a runtime machine translation quality classifier for estimating the quality of machine translations without the benefit of reference translations.

Abstract: A rotatable joint, comprising: at least three bar connectors; an axis piece comprising a central pivot and at least one of the at least three bar connectors longitudinally aligned with the central pivot; and two rotatable joint pieces each comprising a bushing and at least one of the at least three bar connectors oriented along the diameter of the bushing and aligned along the axis of symmetry of the bushing, wherein the bushing of each of the two rotatable joints pieces is configured to slide over the central pivot thereby coupling the two bushings with the central pivot and allowing the rotatable joint pieces to rotate about the central pivot, and orient the bar connectors of the rotatable joint pieces perpendicular to the bar connector of the axis piece.

Abstract: Technologies are disclosed herein for statistical machine translation. In particular, the disclosed technologies include extensions to conventional machine translation pipelines: the use of multiple domain-specific and non-domain-specific dynamic language translation models and language models; cluster-based language models; and large-scale discriminative training. Incremental update technologies are also disclosed for use in updating a machine translation system in four areas: word alignment; translation modeling; language modeling; and parameter estimation. A mechanism is also disclosed for training and utilizing a runtime machine translation quality classifier for estimating the quality of machine translations without the benefit of reference translations.

Abstract: A spring for connecting a pipe to a rod, the spring comprising: a flat tab attached to a rod, wherein the flat tab is aligned with a first face of the rod; an unattached tab aligned with a second face of the rod that is opposite to the first face; a substantially diagonal bridge connecting the flat tab and the unattached tab, wherein the angle between the attached tab and the diagonal bridge is greater than 90°; and a button located on the flat tab, wherein the button protrudes from the distal end of the rod when the spring is normally open, and wherein the button is configured to engage with a corresponding hole in a pipe.