Abstract: A text conversion method and a text conversion system are provided. A term mapping table recording a term mapping relationship between a source language and a target language is provided. A tokenization process is performed on a paragraph in the source language to obtain tokenization results. The tokenization results are compared with the term mapping table to determine each source language term in the paragraph is belonging to a first type or a second type. The source language terms belonging to the first type are converted into corresponding target language terms according to the term mapping table. Regarding each source language term of the second type, one of multiple corresponding candidate target language terms is selected as the target language term according to a co-occurrence relevance of relevant terms, wherein each relevant term is constituted by one candidate target language term and words before and after that in the paragraph.

Abstract: An input method and a system for querying by using at least one region formed by at least one enclosed track are provided. The method mainly includes: forming at least one region on digital type information; storing at least one of text information and image information in the track into a registering memory; generating at least one of text-based information retrieval and image-based information retrieval according to the at least one of the text information and the image information; and finally, transmitting the at least one of the text-based information retrieval and the image-based information retrieval to at least one search engine for querying.

Abstract: A real-time translation system for digital televisions and method thereof. It includes a real-time translation server, an operating unit, and a digital television apparatus including a digital signal receiver, a display device, an Internet-enabled device, an operation signal receiving module, and a processor. The processor is connected to the digital signal receiver, the display device, the Internet-enabled device, and the operation signal receiving module.

Abstract: A named entity marking apparatus, a named entity marking method, and a computer program product thereof are provided. The named entity marking apparatus comprises a processor and a storage unit, wherein the processor is electrically connected to the storage unit. The storage unit is stored with an electronic document and a named entity database. The processor marks the electronic document into a first marked document by a first set of the named entity database. The processor decides a second set of the named entity database according to the first marked document. The processor re-marks the electronic document into a second marked document by the second set of the named entity database.

Abstract: A text conversion method and a text conversion system are provided. A term mapping table recording a term mapping relationship between a source language and a target language is provided. A tokenization process is performed on a paragraph in the source language to obtain tokenization results. The tokenization results are compared with the term mapping table to determine each source language term in the paragraph is belonging to a first type or a second type. The source language terms belonging to the first type are converted into corresponding target language terms according to the term mapping table. Regarding each source language term of the second type, one of multiple corresponding candidate target language terms is selected as the target language term according to a co-occurrence relevance of relevant terms, wherein each relevant term is constituted by one candidate target language term and words before and after that in the paragraph.

Abstract: A named entity marking apparatus, a named entity marking method, and a computer program product thereof are provided. The named entity marking apparatus comprises a processor and a storage unit, wherein the processor is electrically connected to the storage unit. The storage unit is stored with an electronic document and a named entity database. The processor marks the electronic document into a first marked document by a first set of the named entity database. The processor decides a second set of the named entity database according to the first marked document. The processor re-marks the electronic document into a second marked document by the second set of the named entity database.