Abstract: A translation method for properly recognizing and automatically translating a sentence containing an emphasized word including two or more successive identical characters. First, words in a source text to be translated are looked up in a dictionary (step S201) to determine whether the text includes an unregistered word (step S203). Then, it is determined whether an unregistered word contains successive identical characters (step S205). If it contains successive identical characters, the number of the characters is reduced (step S207) and determines whether a modified word thus obtained is contained in the dictionary (step S209). If it is determined that the modified word is contained in the dictionary, the unregistered word is determined as the modified word (step S215), the part of speech and the attribute of the modified word are determined (step S217), and the unregistered word is replaced with the modified word to make translation.

Abstract: A translation method for properly recognizing and automatically translating a sentence containing an emphasized word including two or more successive identical characters. First, words in a source text to be translated are looked up in a dictionary (step S201) to determine whether the text includes an unregistered word (step S203). Then, it is determined whether an unregistered word contains successive identical characters (step S205). If it contains successive identical characters, the number of the characters is reduced (step S207) and determines whether a modified word thus obtained is contained in the dictionary (step S209). If it is determined that the modified word is contained in the dictionary, the unregistered word is determined as the modified word (step S215), the part of speech and the attribute of the modified word are determined (step S217), and the unregistered word is replaced with the modified word to make translation.

Abstract: A translation method for properly recognizing and automatically translating a sentence containing an emphasized word including two or more successive identical characters. First, words in a source text to be translated are looked up in a dictionary (step S201) to determine whether the text includes an unregistered word (step S203). Then, it is determined whether an unregistered word contains successive identical characters (step S205). If it contains successive identical characters, the number of the characters is reduced (step S207) and determines whether a modified word thus obtained is contained in the dictionary (step S209). If it is determined that the modified word is contained in the dictionary, the unregistered word is determined as the modified word (step S215), the part of speech and the attribute of the modified word are determined (step S217), and the unregistered word is replaced with the modified word to make translation.

Abstract: In a machine translation environment, a context-specific domain directory must sometimes be selected to provide a proper translation in context. A database for trigger patterns associated with specific domains is prepared. When a resource is to be translated, appearances of the pattern within the resource are detected. If appearance frequency for at least one domain exceeds a threshold value, the appearance frequency for that domain is compared to the appearance frequency for other domains. If the appearance frequency for the one domain is found to be significantly higher, the dictionary for that domain is selected for the translation.

Abstract: A translation method for properly recognizing and automatically translating a sentence containing an emphasized word including two or more successive identical characters. First, words in a source text to be translated are looked up in a dictionary (step S201) to determine whether the text includes an unregistered word (step S203). Then, it is determined whether an unregistered word contains successive identical characters (step S205). If it contains successive identical characters, the number of the characters is reduced (step S207) and determines whether a modified word thus obtained is contained in the dictionary (step S209). If it is determined that the modified word is contained in the dictionary, the unregistered word is determined as the modified word (step S215), the part of speech and the attribute of the modified word are determined (step S217), and the unregistered word is replaced with the modified word to make translation.

Abstract: Disclosed herein is a machine translation system which can automatically switch from one or more dictionaries to more appropriate dictionaries for translating a first language to a second language. As a dictionary constitution, a base dictionary and domain dictionaries can be provided. The domain dictionary can be divided into a compound word dictionary that includes triggers for switching dictionaries and a compound word dictionary that does not include triggers for switching the dictionaries. When a compound word included in the compound word dictionary that includes triggers for switching the dictionaries is detected during source text analysis, a priority of the concerned domain dictionary can be set higher than that of the base dictionary. Moreover, the domain dictionary can be subdivided into a main domain dictionary and a sub-domain dictionary.

Abstract: The present invention provides a method, apparatus and computer-readable medium for machine translation capable of performing automatic dictionary switching in a machine translation system using a system base dictionary which registers common words and at least one domain dictionary to translate from a first language to a second language. The method comprises: determining a compound word in the input source text by analyzing the source text; setting priority of a domain dictionary including the compound word higher than that of the system base dictionary, and creating a translated text in the second language using the domain dictionary having the higher priority.

Abstract: In a machine translation environment, a context-specific domain directory must sometimes be selected to provide a proper translation in context. A database for trigger patterns associated with specific domains is prepared. When a resource is to be translated, appearances of the pattern within the resource are detected. If appearance frequency for at least one domain exceeds a threshold value, the appearance frequency for that domain is compared to the appearance frequency for other domains. If the appearance frequency for the one domain is found to be significantly higher, the dictionary for that domain is selected for the translation.

Abstract: Disclosed herein is a machine translation system which can automatically switch from one or more dictionaries to more appropriate dictionaries for translating a first language to a second language. As a dictionary constitution, a base dictionary and domain dictionaries can be provided. The domain dictionary can be divided into a compound word dictionary that includes triggers for switching dictionaries and a compound word dictionary that does not include triggers for switching the dictionaries. When a compound word included in the compound word dictionary that includes triggers for switching the dictionaries is detected during source text analysis, a priority of the concerned domain dictionary can be set higher than that of the base dictionary. Moreover, the domain dictionary can be subdivided into a main domain dictionary and a sub-domain dictionary.