JPS6329880A - Translating device using context - Google Patents

Abstract

PURPOSE:To correctly select a translated word by dynamically changing the priority of words based on the translated results in the same sentence in order to select optimum translated words corresponding to the meaning of a sentence. CONSTITUTION:Translated words (including one translated word selected from plural translated words by a user) to be used in a translation process are sent to a priority changing device 4 and then transmitted to a translated word analyzer 7 and the analyzer 7 analizes and decomposes the received sentence into words and returns the words to be the analyzed results to the device 4. The device 4 refers an exception word dictionary 6 to check whether the words sent from the analyzer 7 are exception words or not. When the word is not an exception word, the device 4 refers a thesaurus dictionary 5 to determine the rise of priority for the upper words, homonyms, relative words, and low- order word of the word. The priority rise information is stored in a buffer storage area. The storage area can be referred by a dictionary accessing device 2.

Description

[Detailed Description of the Invention] [Summary] In machine translation, in order to select the optimal translation word according to the meaning of the sentence, the priority of words is dynamically set based on the results of previous translations in the same sentence. This will enable the correct selection of translation words.

[Industrial application field]

The present invention relates to selection of translated words in machine translation. In machine translation, an important measure that determines the quality of the result is whether the translated word is correct or not.

Therefore, in order to select the correct translation, if multiple translations correspond to the same word, it is necessary to dynamically change the priority during translation.

[Conventional technology]

The translation device performs sentence analysis such as morphological analysis, syntactic analysis, and semantic analysis to generate a conceptual structure, and generates a sentence based on the conceptual structure.

The purpose of morphological analysis is to find the morphemes that make up a human-generated sentence. Morphological analysis is performed using a word dictionary and a connection table in which the possibility of adjacency between words is entered.

Syntactic analysis reveals how the elements of a sentence are connected and what roles they play. That is, for the elements of a sentence broken down into morphemes, grammatical rules are applied to determine the composition of clauses and phrases, and the modification relationships between subjects and predicates. However, at this stage, even if the analysis is grammatically correct, it is not necessarily semantically correct. Therefore, the following semantic analysis is required.

In semantic analysis, the semantically correct one is selected from the grammatically correct analysis results. In syntactic analysis, there are multiple correct results due to the ambiguity of words. This includes some sentences that have completely strange meanings, so if you perform a semantic analysis during the syntactic analysis and filter out those that are semantically strange, you can perform an efficient analysis.

A conceptual structure is a representation of the meaning of a sentence in the form of a semantic network. This conceptual structure is created so as not to depend on the language to be translated, so it is possible to generate sentences in multiple languages from this conceptual structure.

Sentence generation is divided into syntactic generation and morpheme generation.

In the process of generating sentences in the target language (English in the case of Japanese-English translation) from conceptual structures, words are extracted from the dictionary of the target language based on the conceptual symbols that express the concepts.

At this time, since grammatical information is not indexed at the conceptual structure level, it is necessary to select the part of speech that matches the target language. These rules are called production rules.

In the production rules, processing starts from the node where the arc of the population point shown in the conceptual structure enters, and the syntax of that node is determined by looking at the relationship between the surrounding arcs, the nodes ahead of it, and the grammatical attributes of the selected word. Co-occurrence relationships are used to determine phrasing between words for the syntax determined by syntax generation. The co-occurrence relationship determines which word to select when multiple words exist for one concept. In morpheme generation, for words determined through syntactic generation and co-occurrence relationships, the inflection part of the word, which can be determined by information such as tense, person, number, case, gender, etc., is generated by referring to a word dictionary to generate words with meaning. Synthesize into

The present invention relates to a method of selecting words corresponding to conceptual symbols from a word dictionary. FIG. 3 shows a conventional word selection method. In FIG. 3, 1 indicates a word dictionary, and 2 indicates a dictionary access device. For example, the word dictionary l contains 1 corresponding to the conceptual symbol "line".
ine, track, route, wire, po
English words such as ``licy'' and ``string'' and the priorities of these English words are entered. In the illustrated example, for example l i
The priority of ne is 100, and the priority of track is 50. The dictionary access device 2 is for accessing the word dictionary 1. The priority corresponding to each word is fixed. “
Upon receiving the instruction to find the English word corresponding to the line ", the dictionary access device 2 selects 1ine from the word dictionary l,
track, route, wire, poli
It reads English words such as y and string, arranges them in descending order of priority, and passes them to the requester.

[Problem to be solved]

With conventional technology, when multiple translations correspond to one conceptual symbol, the priority of the translations does not change dynamically according to the input text, so the correct translation is not given in the translation result. A human had to fix it.

The present invention was created in view of this point, and an object of the present invention is to enable dynamically changing the priority of translated words.

[Failure to solve the problem]

FIG. 1 is a diagram showing the principle of the present invention. In FIG. 1, 3 is a translation device, 4 is a priority change device, 5 is a thesaurus dictionary,
Reference numeral 6 indicates an excluded term dictionary, 7 indicates a translated word analysis device, and 8 and 9 indicate other various dictionaries, respectively.

The translation device 3 performs morphological analysis, syntactic analysis, semantic network generation, syntax generation, morpheme generation, and the like. Translated words used in the translation process (including when the user intervenes and selects one of a plurality of translated words) are sent to the priority change device 4. When the priority changing device 4 receives the translated word, it sends it to the translated word analyzing device 7. The translation analysis device 7 analyzes the received sentence, decomposes it into words, and returns the words as the analysis result to the priority change device 4. The priority change device 4 refers to the excluded word dictionary 6 to check whether the word sent from the translated word analysis device 7 is an excluded word.

The excluded word means a word that is not subject to priority change. If the word is not an excluded word, the priority changing device 4 refers to the thesaurus dictionary 5 and determines the increase in priority of the word's hypernyms, synonyms, related words, and hyponyms. Priority increase information is stored in buffer storage. This storage area can be referenced by the dictionary access device 2. When it is desired to read a word corresponding to a conceptual symbol, the translation device 3 sends a word search request to the dictionary access device 2. When the dictionary access device 2 receives a word search request from the translation device 3, it reads out the word and priority corresponding to the conceptual symbol from the word dictionary 1. Then, the priority increase amount corresponding to the word read from the word dictionary 1 is read out from the buffer storage area 2, the priority of the word and the increase amount of the word are added, and the word is worded according to the updated priority. The words read out from the dictionary 1 are rearranged and these words are passed to the translation device 3.

Dictionaries 8 and 9 are other dictionaries. Other dictionaries include adjacency relationship dictionaries, grammatical rule dictionaries, production rule dictionaries, co-occurrence relationship dictionaries, and semantic relationship dictionaries.

〔Example〕

FIG. 2 is a diagram showing an example of changing the priority of words.

The input sentence is ``Due to the development of airplanes,'' as shown in (a),
...The structure of the spring is...''. The first
The translation result for the sentence "Due to the development of airplanes..." is (b
), the development
of airplane...''. After analyzing the resulting translations, the excluded words are marked with an
(c). This process is performed by the excluded term dictionary 6 and translated word analysis device 7 of the priority change device 4. The content of the target term airplane in the thesaurus dictionary 5 is (dl).The priority of machine, which is a broader term of the term airplane, increases by 10,
Also, νehicl is a hypernym of the term airplane.
The priority of e is increased by 50, the priority of aircraft, which is a synonym for airplane, is increased by 200, and the priority of airplane, which is a related word, is increased by 200.

The priorities of t, airf 1eld also increase by 200, and wing, which is a hyponym of airplane,
rudder's priority increases by 100. Due to the increase in priority, the priority of the translated word ``feather''
p (100), plume (10), wing (5)
) changes as shown in (e). The dictionary access device 2 passes this changed list of translated words to the translation device 3. As a result, for "hane" in the nth sentence, the translated word "wing" is selected, as shown in (f).

〔Effect of the invention〕

As is clear from the above description, according to the present invention, translation words are selected in consideration of the preceding and following sentences, and higher quality translation results can be obtained.

[Brief explanation of drawings]

FIG. 1 is a diagram showing the principle of the present invention, FIG. 2 is a diagram showing an example of changing the priority of words, and FIG. 3 is a diagram showing a conventional word selection method. 1... Word dictionary, 2... Dictionary access device, 3...
- Translation device, 4...Priority change device, 5...Thesaurus dictionary, 6...Exclusion term dictionary, 7...Translation analysis device, 8 and 9...Other various dictionaries.

Claims (1)

[Claims] In a translation device that performs machine translation using various dictionaries such as a word dictionary, a grammar rule dictionary, and a thesaurus dictionary, a translated word analysis device (7) that analyzes a translated sentence and decomposes the arrangement of words; An excluded term dictionary (6) that stores excluded words whose priority will not be changed; a thesaurus dictionary (5) that stores words' broader terms, synonyms, related words, hyponyms, etc.; and a priority change device (4). , a word dictionary (1), and a dictionary access device (2), and the priority change device 4 analyzes the input translation result sentence to the translated word analysis device (7).
When the word sequence is returned from the translated word analysis device (7), it is checked whether the words that make up the word sequence are excluded words by referring to the excluded word dictionary (6), and the excluded words are For words that are not
) to find the increase in priority for the broader terms, synonyms, related words, and hyponyms related to these words, and store the increase in priority and the corresponding word in the increase storage area. When the dictionary access device (2) receives a word search request, the dictionary access device (2) reads the word corresponding to the conceptual symbol specified in the word search request and the priority associated therewith from the word dictionary (1). , If the priority increase corresponding to the read word is stored in the increase storage area, add the priority increase and the read priority, and combine the addition result with the read word. A translation device using context, characterized in that it is configured to be passed to a word search request source.