Abstract: Fragment recall and adaptive automated translation are disclosed herein. An example method includes determining that an exact or fuzzy match for a portion of a source input cannot be found in a translation memory, performing fragment recall by matching subsegments in the portion against one or more whole translation units stored in the translation memory, and matching subsegments in the portion against corresponding one or more subsegments inside the one or more matching whole translation units, and returning any of the one or more matching whole translation units and the one or more matching subsegments as a fuzzy match, as well as the translations of those subsegments.

Abstract: Fragment recall and adaptive automated translation are disclosed herein. An example method includes determining that an exact or fuzzy match for a portion of a source input cannot be found in a translation memory, performing fragment recall by matching subsegments in the portion against one or more whole translation units stored in the translation memory, and matching subsegments in the portion against corresponding one or more subsegments inside the one or more matching whole translation units, and returning any of the one or more matching whole translation units and the one or more matching subsegments as a fuzzy match, as well as the translations of those subsegments.

Abstract: Fragment recall and adaptive automated translation are disclosed herein. An example method includes determining that an exact or fuzzy match for a portion of a source input cannot be found in a translation memory, performing fragment recall by matching subsegments in the portion against one or more whole translation units stored in the translation memory, and matching subsegments in the portion against corresponding one or more subsegments inside the one or more matching whole translation units, and returning any of the one or more matching whole translation units and the one or more matching subsegments as a fuzzy match, as well as the translations of those subsegments.

Abstract: There is provided the use of compounds of formula I wherein R1, R2, R3 and X have meanings given in the description, for the preparation of a medicament for killing clinically latent microorganisms. There is also provided the use of compounds of formula I for treating microbial infections, as well as certain compounds of formula I per se.

Abstract: Fragment recall and adaptive automated translation are disclosed herein. An example method includes determining that an exact or fuzzy match for a portion of a source input cannot be found in a translation memory, performing fragment recall by matching subsegments in the portion against one or more whole translation units stored in the translation memory, and matching subsegments in the portion against corresponding one or more subsegments inside the one or more matching whole translation units, and returning any of the one or more matching whole translation units and the one or more matching subsegments as a fuzzy match, as well as the translations of those subsegments.

Abstract: There is provided the use of compounds of formula I wherein R1, R2, R3 and X have meanings given in the description, for the preparation of a medicament for killing clinically latent microorganisms. There is also provided the use of compounds of formula I for treating microbial infections, as well as certain compounds of formula I per se.

Abstract: There is provided the use of compounds of formula I wherein R1, R2, R3 and X have meanings given in the description, for the preparation of a medicament for killing clinically latent microorganisms. There is also provided the use of compounds of formula I for treating microbial infections, as well as certain compounds of formula I per se.

Abstract: A computer-implemented method for use in natural language translation comprises performing in software processes, the steps of: comparing source material with stored material in a first natural language, said stored material having previously been translated from said first natural language to at least a second natural language, identifying at least a part of said source material which has a relationship with at least a part of said stored material, outputting said identified part of source material and said identified part of stored material in a form suitable for review by a user, and replacing said identified part of source material with said identified part of stored material to assist full translation of said source material from said first natural language to at least said second natural language.

Abstract: A computer-implemented method for use in natural language translation, including, performing in software processes, the steps of: comparing source material with stored material in a first natural language, said stored material having previously been translated from said first natural language to at least a second natural language, identifying at least a ‘part of said source material which has a relationship with at least a part of said stored material, outputting said identified part of source material and said identified part of stored material in a form suitable for review by a user, and replacing said identified part of source material with said identified part of stored material to assist full translation of said source material from said first natural language to at least said second natural language.

Abstract: A computer-implemented method for use in natural language translation comprises performing in software processes, the steps of: comparing source material with stored material in a first natural language, said stored material having previously been translated from said first natural language to at least a second natural language, identifying at least a part of said source material which has a relationship with at least a part of said stored material, outputting said identified part of source material and said identified part of stored material in a form suitable for review by a user, and replacing said identified part of source material with said identified part of stored material to assist full translation of said source material from said first natural language to at least said second natural language.

Abstract: A computer-implemented method for use in natural language translation comprises performing in software processes, the steps of: comparing source material with stored material in a first natural language, said stored material having previously been translated from said first natural language to at least a second natural language, identifying at least a part of said source material which has a relationship with at least a part of said stored material, outputting said identified part of source material and said identified part of stored material in a form suitable for review by a user, and replacing said identified part of source material with said identified part of stored material to assist full translation of said source material from said first natural language to at least said second natural language.

Abstract: There is provided the use of compounds of formula I wherein R1, R2, R3 and X have meanings given in the description, for the preparation of a medicament for killing clinically latent microorganisms. There is also provided the use of compounds of formula I for treating microbial infections, as well as certain compounds of formula I per se.

Abstract: There is provided the use of compounds of formula I wherein R1, R2, R3 and X have meanings given in the description, for the preparation of a medicament for killing clinically latent microorganisms. There is also provided the use of compounds of formula I for treating microbial infections, as well as certain compounds of formula I per se.

Abstract: There is provided the use of compounds of formula I wherein R1, R2, R3 and X have meanings given in the description, for the preparation of a medicament for killing clinically latent microorganisms. There is also provided the use of compounds of formula I for treating microbial infections, as well as certain compounds of formula I per se.

Abstract: A computer-implemented method for use in natural language translation comprises performing in software processes, the steps of: comparing source material with stored material in a first natural language, said stored material having previously been translated from said first natural language to at least a second natural language, identifying at least a part of said source material which has a relationship with at least a part of said stored material, outputting said identified part of source material and said identified part of stored material in a form suitable for review by a user, and replacing said identified part of source material with said identified part of stored material to assist full translation of said source material from said first natural language to at least said second natural language.

Abstract: A compound selected from one of the following: or a salt, solvate, chemically protected form or prodrug thereof, and its use in treating conditions alleviated by agonism of an EP2 receptor.

Abstract: A computer-implemented method for use in natural language translation. The method involves attaching pieces of linguistic information to two or more source language elements in a source material in a first natural language. The pieces of linguistic information are matched to one or more predetermined parse rules. Associations are then formed between the two or more source language elements to form terminology candidates, which are then presented to human reviewers. Terminology candidates are subsequently validated by a user, becoming validated terminology which is then translated into a second, different, natural language, becoming translated terminology. The translated terminology can then be loaded into a machine-translation dictionary which can be used during subsequent machine-assisted translations.

Abstract: A compound selected from one of the following: or a salt, solvate, chemically protected form or prodrug thereof, and its use in treating conditions alleviated by agonism of an EP2 receptor.

Abstract: The invention relates to a process for the preparation of a compound of formula (I) ##STR1## wherein R represent a hydrogen atom or a methyl or ethyl group, which comprises cyclising a compound of formul (IV) ##STR2## Where R represents a hydrogen atom, the compound of formula (IV) may optionally be alkylated to produce a compound in whcich R is methyl or ethyl.The compound of formula (I) is useful as an intermediate in the preparation of 2,3,4,5-tetrahydro-2-[(imidazol-4(or 5)-yl)methyl]-1H-pyrido[4,3-b]indol-1-ones having 5-HT.sub.3 antagonist activity.

Abstract: Compounds are described of the formula (1) ##STR1## where: R.sup.1 is a hydrogen atom or a methyl group;X is cis or trans --CH.dbd.CH-- or --CH.sub.2 CH.sub.2 --, m is 2, 3 or 4 and n is 1; or X is trans --CH.dbd.CH--, m is zero and n is 3;Y is a saturated heterocyclic amino group;Alk is a C.sub.1-5 alkyl chain;l is zero or 1;p is zero, 1, 2, 3 or 4;R.sup.2 is a hydroxyl group or a group selected from --OCOR.sup.3, --CO.sub.2 R.sup.3, CONR.sup.3 R.sup.4, --SO.sub.2 NR.sup.3 R.sup.4, --NHCOR.sup.3, --NHSO.sub.2 R.sup.5, --SO.sub.2 R.sup.5, --SR.sup.5, --NR.sup.3 R.sup.4, --COR.sup.5, --NHCONR.sup.3 R.sup.4 and --NHCSNH.sub.2 ; and their physiologically acceptable salts, solvates and cyclodextrin complexes.These compounds inhibit blood platelet aggregation, bronchoconstriction and vasoconstriction and may be formulated for use as antithrombotic agents.