Download E-Business Globalization Solution Design Guide: Getting by IBM Redbooks, Xiao Hui Zhu PDF

By IBM Redbooks, Xiao Hui Zhu

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While related to categorization, clustering does not require training documents or pre-existing taxonomy. It works purely on document contents. Technically, clustering is based on distribution of terms across document collections. Cluster labels are chosen based on the most frequent words for each cluster, and there is no way to know in advance or to influence how clustering will group the documents of a collection. The automatically chosen labels for each cluster give the user an idea concerning what the documents within each cluster have in common.

Day Day Up > < Day Day Up > Chapter 7: Localization Pack 35 36 Chapter 8: Input and Output of Multilingual Data Conclusion Using XML as the source format of localization pack provides flexibility in organizing localization packs and localization pack manager. < Day Day Up > < Day Day Up > Chapter 8: Input and Output of Multilingual Data Input and output are very commonly used computer terms defining two separate computers' roles in communicating with end users. Input is the process of getting data from users, and output is the process of sending back a comprehensible reply to them.

The honorific "sama" is used to address someone whose station is above yours. For example, instead of , we address the customer in business letters. "san" to face. is also used as an honorific. is used in e-mail and when you address the customer face Korea also has such titles of respect. To show respect in business letters, "Kwiha" is used; for example, . "nim" is a less formal honorific, used in addressing a customer face to face. Address format is a more complicated topic. Even within a single language such as English there can be multiple address formats that the business object needs to fulfill.

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