Abstract: A method for localizing a software resource in a second language is disclosed. The method may include receiving a software resource in a first language, receiving data relating to a state of translations performed for the software application by a localization service, determining based on the software resource in the first language and the data whether an up-to-date software resource in a second language exists in a data store where the software resource in the second language corresponds to the software resource in the first language.

Abstract: A method for localizing a software resource in a second language is disclosed. The method may include receiving a software resource in a first language, receiving data relating to a state of translations performed for the software application by a localization service, determining based on the software resource in the first language and the data whether an up-to-date software resource in a second language exists in a data store where the software resource in the second language corresponds to the software resource in the first language.

Abstract: Technology is disclosed herein for compressing, encoding, and otherwise reducing the size of resource files. In at least one implementation, similarity compression is employed to reduce the size of a resource file. In another implementation, map-less encoding is employed to reduce the number of bytes used to represent a resource string. Bit-level compression is employed in another implementation to reduce the quantity of bits used to encode each character in a string. In addition, implementations are disclosed related to technology for naming strings and accelerated string location and retrieval.

Abstract: Technology is disclosed herein for compressing, encoding, and otherwise reducing the size of resource files. In at least one implementation, similarity compression is employed to reduce the size of a resource file. In another implementation, map-less encoding is employed to reduce the number of bytes used to represent a resource string. Bit-level compression is employed in another implementation to reduce the quantity of bits used to encode each character in a string. In addition, implementations are disclosed related to technology for naming strings and accelerated string location and retrieval.

Abstract: Technology is disclosed herein for compressing, encoding, and otherwise reducing the size of resource files. In at least one implementation, similarity compression is employed to reduce the size of a resource file. In another implementation, map-less encoding is employed to reduce the number of bytes used to represent a resource string. Bit-level compression is employed in another implementation to reduce the quantity of bits used to encode each character in a string. In addition, implementations are disclosed related to technology for naming strings and accelerated string location and retrieval.

Abstract: Technology is disclosed herein for compressing, encoding, and otherwise reducing the size of resource files. In at least one implementation, similarity compression is employed to reduce the size of a resource file. In another implementation, map-less encoding is employed to reduce the number of bytes used to represent a resource string. Bit-level compression is employed in another implementation to reduce the quantity of bits used to encode each character in a string. In addition, implementations are disclosed related to technology for naming strings and accelerated string location and retrieval.

Abstract: Technology is disclosed herein for compressing, encoding, and otherwise reducing the size of resource files. In at least one implementation, similarity compression is employed to reduce the size of a resource file. In another implementation, map-less encoding is employed to reduce the number of bytes used to represent a resource string. Bit-level compression is employed in another implementation to reduce the quantity of bits used to encode each character in a string. In addition, implementations are disclosed related to technology for naming strings and accelerated string location and retrieval.

Abstract: Technology is disclosed herein for compressing, encoding, and otherwise reducing the size of resource files. In at least one implementation, similarity compression is employed to reduce the size of a resource file. In another implementation, map-less encoding is employed to reduce the number of bytes used to represent a resource string. Bit-level compression is employed in another implementation to reduce the quantity of bits used to encode each character in a string. In addition, implementations are disclosed related to technology for naming strings and accelerated string location and retrieval.

Abstract: Technology is disclosed herein for compressing, encoding, and otherwise reducing the size of resource files. In at least one implementation, similarity compression is employed to reduce the size of a resource file. In another implementation, map-less encoding is employed to reduce the number of bytes used to represent a resource string. Bit-level compression is employed in another implementation to reduce the quantity of bits used to encode each character in a string. In addition, implementations are disclosed related to technology for naming strings and accelerated string location and retrieval.

Abstract: Technology is disclosed herein for compressing, encoding, and otherwise reducing the size of resource files. In at least one implementation, similarity compression is employed to reduce the size of a resource file. In another implementation, map-less encoding is employed to reduce the number of bytes used to represent a resource string. Bit-level compression is employed in another implementation to reduce the quantity of bits used to encode each character in a string. In addition, implementations are disclosed related to technology for naming strings and accelerated string location and retrieval.