Hitachi, Ltd.

Eri Katagiri

Atsushi Okajima

Fumiyuki Yamano

Noriyuki Yamasaki

Yuichi Inaba

A machine translation system capable of performing translation at a high processing speed with improved disambiguation rate in the parsing by applying grammar rules in dependence on the domains to which texts to be translated belong, objects of the texts and rules of sentences in the same text. The machine-translation system for translating a first language to a second language uses a grammer memory for storing grammar rules of the first or second language and a main memory for storing a variety of information, wherein the grammar rules stored in the grammar memory are prepared in groups at least on the basis of the domains to which texts to be translated belong and individual parts in the text. The system includes apparatus for deciding which of the grammar rules stored in the grammar memory should be applied to a given input text, and apparatus for translating the individual parts of the input text by applying the grammar rules determined on the basis of the result of decision made by the deciding apparatus.

Method and system for language translation

A method and an apparatus for generating/maintaining automatically or interactively a lexicon for storing information of cooccurrence relations utilized for determining whether or not a sequence of words in a given sentence described in a natural language is semantically correct with the aid of a memory, a data processor and a textual sentence file. A hypothesized cooccurrence relation table for storing hypothesized cooccurrence relations each having a high probabliity of being a valid cooccurrence relation is prepared by consulting the file. A hypothesis for the cooccurrence relation is previously established on the basis of a cooccurrence relation pattern indicating a probably acceptable conjunction by consulting the hypothesized cooccurrence relation table. Subsequently, a corresponding actual cooccurrence relation is derived from the textual file by parsing the relevant textual sentence and is tested to determine whether the cooccurrence relation is valid or not with reference to predetermined threshold conditions. On the basis of the results of the test, the information of the cooccurrence relation is correspondingly modified. The present method and apparatus can be utilized in a natural language parsing system and a machine translation system.

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Yokohama, Japan

Eri Katagiri