- Number
- 10997610
- Published
- 2021-05-04
- Filed
- 2014-11-04
- Assignee
- Disney Enterprises, Inc.
- Inventors
- Sakashita; Tadashi
- CPC
- G06Q30/0201
- Verdict
- Set aside product linguistic corpus, business/NLP
- Source
- Google Patents · FreePatentsOnline
Abstract
There is provided a system having a memory for storing a software application, where the software application includes a product database. The product database includes a product history for a plurality of products. A processor is configured to execute the software application. The software application receives product requirements for a new product, determines at least one related product from the plurality of products based on the product requirements for the new product, evaluates the product history of the at least one related product to determine a linguistic corpus for the new product, and creates the linguistic corpus for the new product.
Background
BACKGROUND (1) Products that utilize a linguistic corpus enter the marketplace each and every day. Usually, the companies creating the products have to guess as to what linguistic, translation, and social rules will work best with a given product. In addition, many current translation and linguistic memory banks implemented in products are unspecific and general, and thus do not take into account the many potential uses and understandings of words or phrases. For example, a word or phrase may come across one way to a child and another to an adult, or may come across one way to a fan of animated films. (2) Furthermore, social interactions occur in online environments constantly, and many of these social interactions occur between users not only from different countries, but also who speak entirely different languages. However, modern translation softwares, especially translation softwares that translate gender and socially neutral languages, fail to account for necessary translational changes for languages that are dependent on social hierarchies and gender, for example. SUMMARY (3) The present disclosure is directed to systems and methods for using a product history to create a linguistic corpus for a product, substantially as shown in and/or described in connection with at least one of the figures, as set forth more completely in the claims.
Claims
1. A system comprising: a memory storing a software application, the software application including a movie database, the movie database including a movie history for each of a plurality of movies; and a processor configured to execute the software application to: receive attributes for a new movie; determine at least one related movie from the plurality of movies based on the attributes for the new movie, the attributes including an age range and linguistic safety restrictions based at least in part on the age range; create a linguistic corpus for the new movie based on the movie history of the at least one related movie, the movie history including a historical language translation information associated with the at least one related movie, the historical language translation information including at least one language translation from one spoken language to another spoken language for users, wherein the at least one language translation takes into account the linguistic safety restrictions based at least in part on the age range; translate, using the created linguistic corpus for the new movie, words of the new movie spoken in the one spoken language to the another spoken language, wherein the translating comprises selecting between a first set of translated words and a second set of translated words based at least in part on the age range; and provide the new movie including the translated words to the users. ||
8. A method being executed by a system including a processor and a memory storing a software application, the software application including a movie database, the movie database including a movie history for each of a plurality of movies, the method comprising: receiving, using the processor, attributes for a new movie; determining, using the processor, at least one related movie from the plurality of movies based on the attributes for the new movie, the attributes including an age range and linguistic safety restrictions based at least in part on the age range; creating, using the processor, a linguistic corpus for the new movie based on the movie history of the at least one related movie, the movie history including a historical language translation information associated with the at least one related movie, the historical language translation information including at least one language translation from one spoken language to another spoken language for users, wherein the at least one language translation takes into account the linguistic safety restrictions based at least in part on the age range; translating, using the processor and the created linguistic corpus for the new movie, words of the new movie spoken in the one spoken language to the another spoken language, wherein the translating comprises selecting between a first set of translated words and a second set of translated words based at least in part on the age range; and providing, using the processor, the new movie including the translated words to the users.