View source for 17897123. IDENTIFYING THE TRANLATABILITY OF HARD-CODED STRINGS IN SOURCE CODE VIA POS TAGGING simplified abstract (International Business Machines Corporation)

=IDENTIFYING THE TRANLATABILITY OF HARD-CODED STRINGS IN SOURCE CODE VIA POS TAGGING=


==Organization Name==

[[:Category:International Business Machines Corporation|International Business Machines Corporation]]


[[Category:International Business Machines Corporation]]

==Inventor(s)==

[[:Category:Jin Shi of Ningbo (CN)|Jin Shi of Ningbo (CN)]][[Category:Jin Shi of Ningbo (CN)]]

[[:Category:Chih-Yuan Lin of Xindian Dist. (TW)|Chih-Yuan Lin of Xindian Dist. (TW)]][[Category:Chih-Yuan Lin of Xindian Dist. (TW)]]

[[:Category:Shu-Chih Chen of Banqiao Dist. (TW)|Shu-Chih Chen of Banqiao Dist. (TW)]][[Category:Shu-Chih Chen of Banqiao Dist. (TW)]]

[[:Category:Pei-Yi Lin of New Taipei City 234 (TW)|Pei-Yi Lin of New Taipei City 234 (TW)]][[Category:Pei-Yi Lin of New Taipei City 234 (TW)]]

[[:Category:Chao Yuan Huang of Taipei (TW)|Chao Yuan Huang of Taipei (TW)]][[Category:Chao Yuan Huang of Taipei (TW)]]

==IDENTIFYING THE TRANLATABILITY OF HARD-CODED STRINGS IN SOURCE CODE VIA POS TAGGING - A simplified explanation of the abstract==


This abstract first appeared for US patent application 17897123 titled 'IDENTIFYING THE TRANLATABILITY OF HARD-CODED STRINGS IN SOURCE CODE VIA POS TAGGING

==Simplified Explanation==

The abstract describes a method for identifying hard-coded strings in source code by parsing source code and localization resource files, assigning confidence scores to determine translatability, transforming strings into equivalence words, preparing training data, training a parts-of-speech tagging model, and tagging potential hard-coded strings at runtime.

* Method for identifying hard-coded strings in source code
* Parses source code and localization resource files
* Assigns confidence scores for translatability
* Transforms strings into equivalence words
* Prepares training data by tagging strings as translatable or non-translatable
* Trains a parts-of-speech tagging model
* Tags potential hard-coded strings at runtime

== Potential Applications ==
* Software development
* Localization of software
* Quality assurance in software development

== Problems Solved ==
* Identifying hard-coded strings in source code
* Improving efficiency in localization efforts
* Ensuring accurate translation of software

== Benefits ==
* Streamlining localization processes
* Enhancing accuracy in translation efforts
* Improving overall quality of software products


==Original Abstract Submitted==

A method for identifying hard-coded strings in source code is disclosed. In one embodiment, such a method parses source code and associated localization resource files to identify hard-coded strings and their associated context. The method provides a confidence score for each hard-coded string that indicates whether the hard-coded string is translatable or non-translatable. Based on the confidence score for each hard-coded string, the method transforms each hard-coded string into a single equivalence word. The method then prepares training data by tagging the hard-coded strings in the source code and associated localization resource files as one of translatable and non-translatable. The method then trains a parts-of-speech (POS) tagging model using the training data. At runtime, the method fetches potential hard-coded strings and tags each hard-coded string as one of translatable and non-translatable using the POS tagging model. A corresponding system and computer program product are also disclosed.



[[Category:G06F8/75]]
[[Category:G06F40/216]]