Abstract: A method of an interactive conversation-learning system includes the steps of: selecting at least one conversation topic provided with at least one conversation target and a plurality of conversation sentences; inputting a first conversation sentence into the interactive conversation-learning system; defining at least one conversation route according to the first conversation sentence, and providing a correlation among the conversation target, the conversation sentences and the conversation route to form a relationship model; and outputting a second conversation sentence connecting with the first conversation sentence via the designated conversation route. Accordingly, the interactive conversation-learning system of a preferred embodiment is provided with a plurality of relationship models.

Abstract: An adaptive foreign-language-learning conversation system includes conversation-graded sets, conversation topic units provided in the conversation-graded sets, and conversation modules provided in the conversation topic units and including predetermined conversation sentences, conversation indexes, and conversation routes. The conversation sentences define conversation simulation files and the conversation module is used to generate the conversation sentence and to receive and identify a user's response sentence. A conversation-evaluating unit is provided in the conversation-graded set to connect with output ends of the conversation topic units, and is used to generate an evaluation result. The system is operated to upgrade or downgrade levels of the conversation-graded sets, or to maintain the same level of the conversation-graded sets according to the evaluation result.

Abstract: A foreign-language learning method includes: providing first language sentences and second language sentences in a database, each first language sentence linking at least one second language sentence; analyzing and retrieving first-language-sentence structures from the first language sentences and second-language-sentence structures from the second language sentences, each first-language-sentence structure linking the corresponding first language sentence and each second-language-sentence structure linking the corresponding second language sentence; inputting a first-language or second-language query sentence into the database; retrieving a sentence structure from the query sentence; comparing the sentence structure of the query sentence with the first-language-sentence or second-language-sentence structures so as to generate matched sentences; reviewing the matched first language sentences in the first language for determining the desired second language sentence, or reviewing the matched second language sen

Abstract: A method for automatically modifying a machine translation includes the steps of: providing a source language; generating a target machine translation language according to the source language by means of machine translation; defining at least one of error types of the target machine translation language; designating at least one of correction modes according to the defined error type; generating a revised target language by executing the designated correction mode. A machine-translation-modifying system of a preferred embodiment includes a translation-editing database and a relationship model provided therein. Each of the relationship models is formed with at least one first language structure (source language), at least one second language structure of machine translation (target language), at least one error type, at least one correct second language structure and at least one correction mode.

Abstract: A method of an interactive conversation-learning system includes the steps of: selecting at least one conversation topic provided with at least one conversation target and a plurality of conversation sentences; inputting a first conversation sentence into the interactive conversation-learning system; defining at least one conversation route according to the first conversation sentence, and providing a correlation among the conversation target, the conversation sentences and the conversation route to form a relationship model; outputting a second conversation sentence connecting with the first conversation sentence via the designated conversation route. Accordingly, the interactive conversation-learning system of a preferred embodiment is provided with a plurality of the relationship models.

Abstract: A method for building a multilingual translation database system includes the steps of: providing a plurality of multilingual sentence pairs or multilingual sentence-fragment pairs in a translation database, each of the multilingual sentence pairs or the multilingual sentence-fragment pairs formed with a source language and a target language; selecting repeated sentence structures or repeated sentence fragments from the multilingual sentence pairs or the multilingual sentence-fragment pairs; and defining or qualifying at least one repeated key sentence or key sentence fragment of the repeated sentence structures or the repeated key sentence-fragment structures with a predetermined degree of repeat frequency.