Abstract: The present technology dynamically generates auto-suggest dictionary data from translation data stored in memory at a server. The auto-suggest dictionary data may be transmitted to a remote device by the server for use in language translation. The auto-suggest dictionary data may be transferred as part of a package which includes content to be translated, translation meta-data, and various other data. The auto-suggest dictionary data may be generated at a first computing device, periodically or in response to an event, from translation data stored in memory. The auto-suggest dictionary may be transferred to a remote device along with content to be translated and other data, as part of a package, for use in translation of the content at the remote device.

Abstract: Described is a safety needle assembly comprising a drive unit holding a needle having a distal pointed end, an outer body rotatably coupled to the drive unit, a first tube telescopically coupled to the outer body and the drive unit, and a second tube telescopically coupled to the first tube. In an extended position, the second tube covers the distal pointed end of the needle, and rotation of the outer body relative to the drive unit causes the first tube and the second tube to retract and expose the distal pointed end.

Abstract: The present technology dynamically generates auto-suggest dictionary data from translation data stored in memory at a server. The auto-suggest dictionary data may be transmitted to a remote device by the server for use in language translation. The auto-suggest dictionary data may be transferred as part of a package which includes content to be translated, translation meta-data, and various other data. The auto-suggest dictionary data may be generated at a first computing device, periodically or in response to an event, from translation data stored in memory. The auto-suggest dictionary may be transferred to a remote device along with content to be translated and other data, as part of a package, for use in translation of the content at the remote device.

Abstract: A computer implemented method of translating source material in a source natural language into a target natural language includes receiving a first data input which is a first part of a sub-segment of a translation of the source material from the source natural language into the target natural language, identifying a selectable target text sub-segment in the target natural language associated with the received first data input, and outputting the selectable target text sub-segment. The selectable target text sub-segment is extracted from a corpus of previously translated text segment pairs, each text segment pair having a source text segment in the source natural language and a corresponding translated text segment in the target natural language.

Abstract: The present technology dynamically generates auto-suggest dictionary data from translation data stored in memory at a server. The auto-suggest dictionary data may be transmitted to a remote device by the server for use in language translation. The auto-suggest dictionary data may be transferred as part of a package which includes content to be translated, translation meta-data, and various other data. The auto-suggest dictionary data may be generated at a first computing device, periodically or in response to an event, from translation data stored in memory. The auto-suggest dictionary may be transferred to a remote device along with content to be translated and other data, as part of a package, for use in translation of the content at the remote device.

Abstract: The present technology dynamically generates auto-suggest dictionary data from translation data stored in memory at a server. The auto-suggest dictionary data may be transmitted a remote device by the server for use in language translation. The auto-suggest dictionary data may transferred as part of a package which includes content to be translated, translation meta-data, and various other data. The auto-suggest dictionary data may be generated at a first computing device, periodically or in response to an event, from translation data stored in memory. The auto-suggest dictionary may be transferred to a remote device along with content to be translated and other data, as part of a package, for use in translation of the content at the remote device.

Abstract: Methods, systems and program product are disclosed for determining a matching level of a text lookup segment with a plurality of source texts in a translation memory in terms of context. In particular, embodiments of the present invention determines any exact matches for the lookup segment in the plurality of source texts, and determines, in the case that at least one exact match is determined, that a respective exact match is an in-context exact (ICE) match for the lookup segment in the case that a context of the lookup segment matches that of the respective exact match. The degree of context matching required can be predetermined, and results prioritized. The invention also includes methods, systems and program products for storing a translation pair of source text and target text in a translation memory including context, and the translation memory so formed. The invention ensures that content is translated the same as previously translated content and reduces translator intervention.

Abstract: A computer implemented method of translating source material in a source natural language into a target natural language includes receiving a first data input which is a first part of a sub-segment of a translation of the source material from the source natural language into the target natural language, identifying a selectable target text sub-segment in the target natural language associated with the received first data input, and outputting the selectable target text sub-segment. The selectable target text sub-segment is extracted from a corpus of previously translated text segment pairs, each text segment pair having a source text segment in the source natural language and a corresponding translated text segment in the target natural language.

Abstract: Equipment (6), provided for the treatment of biosludge containing a preponderant amount of fecal matter, has a fecal material receiving station (1), for the separation of sludge and filtrate. A membrane unit for the clarification of wastewater possesses a membrane module (106) and a wash chamber (105), located below said membrane module, which wash chamber has an air inlet connection, by means of which cleaning air can be injected into the membrane module (106). The membrane module (106) is also equipped with a feed inlet for wastewater and exit connections for respectively sludge and permeate. A sieve (108, 110) is located between the said wash chamber (105) and the membrane module (106) to evenly distribute cleaning air over the entire membrane module (106) and/or at the feed fitting for wastewater, the said sieve serves for the retention of larger entrained particulate.