10. A text conversion method for converting text between a source language and a target language, adapted to an electronic device having a processor, the text conversion method comprising: obtaining a source language term from a paragraph in the source language by the processor; providing a term mapping table by the processor, wherein the term mapping table records a term mapping relationship between the source language and the target language, and the source language term is corresponding to at least one candidate target language term; and calculating a co-occurrence relevance of a plurality of relevant terms corresponding to each of the at least one candidate target language term by using a language model by the processor, wherein each of the relevant terms is constituted by one of the at least one candidate target language term and at least one word before and after the candidate target language term in the paragraph; selecting a plurality of candidate language terms corresponding to higher ones of the co-occurrence relevance among the at least one candidate target language terms by the processor, wherein each co-occurrence relevance corresponding to one of the selected candidate target language terms is higher than a first threshold; respectively translating each word in each of the selected candidate target language terms into a corresponding reference language word by using a dictionary supporting the target language and a reference language by the processor; determining a relevance between the corresponding reference language words in each of the selected candidate target language terms by the processor according to the dictionary and the corresponding reference language words by the processor, so as to select the candidate target language term having the highest relevance between the corresponding reference language words as the target language term; and converting the source language term into the target language term in the paragraph.
10. A text conversion method for converting text between a source language and a target language, adapted to an electronic device having a processor, the text conversion method comprising: obtaining a source language term from a paragraph in the source language by the processor; providing a term mapping table by the processor, wherein the term mapping table records a term mapping relationship between the source language and the target language, and the source language term is corresponding to at least one candidate target language term; and calculating a co-occurrence relevance of a plurality of relevant terms corresponding to each of the at least one candidate target language term by using a language model by the processor, wherein each of the relevant terms is constituted by one of the at least one candidate target language term and at least one word before and after the candidate target language term in the paragraph; selecting a plurality of candidate language terms corresponding to higher ones of the co-occurrence relevance among the at least one candidate target language terms by the processor, wherein each co-occurrence relevance corresponding to one of the selected candidate target language terms is higher than a first threshold; respectively translating each word in each of the selected candidate target language terms into a corresponding reference language word by using a dictionary supporting the target language and a reference language by the processor; determining a relevance between the corresponding reference language words in each of the selected candidate target language terms by the processor according to the dictionary and the corresponding reference language words by the processor, so as to select the candidate target language term having the highest relevance between the corresponding reference language words as the target language term; and converting the source language term into the target language term in the paragraph. 11. The text conversion method according to claim 10 , wherein the language data sources comprise web pages, online articles, and language databases.