6 results about "Bilingual dictionary" patented technology

To provide an information processing system, information processing method and program.SOLUTION: An information processing system is configured to execute: extracting one or more pre-translation terms relating to one or more original texts and one or more post-translation terms respectively corresponding to the one or more pre-translation terms from a bilingual dictionary including a plurality of pre-translation terms written in a first language and a plurality of post-translation terms written in a second language respectively corresponding to the plurality of pre-translation terms (S103); inputting a translating prompt into a language model (S105), where the translating prompt includes the one or more original texts, the one or more pre-translation terms, the one or more post-translation terms, and a translation instruction, the translating instruction including an instruction for causing the language model to translate the one or more pre-translation terms into the one or more post-translation terms; and acquiring, from the language model, a translated text obtained by translating the one or more original texts into the second language according to the translation instruction (S106).SELECTED DRAWING: Figure 5

To provide an information processing system, information processing method and program.SOLUTION: An information processing system is configured to execute: extracting one or more pre-translation terms relating to one or more original texts and one or more post-translation terms respectively corresponding to the one or more pre-translation terms from a bilingual dictionary including a plurality of pre-translation terms written in a first language and a plurality of post-translation terms written in a second language respectively corresponding to the plurality of pre-translation terms (S103); inputting a translating prompt into a language model (S105), where the translating prompt includes the one or more original texts, the one or more pre-translation terms, the one or more post-translation terms, and a translation instruction, the translating instruction including an instruction for causing the language model to translate the one or more pre-translation terms into the one or more post-translation terms; and acquiring, from the language model, a translated text obtained by translating the one or more original texts into the second language according to the translation instruction (S106).SELECTED DRAWING: Figure 5

The application relates to the technical field of unsupervised word translation, and discloses a bilingual vocabulary mapping learning method based on an axis core word weighted retrieval standard, which comprises the following steps: initializing t=0, setting the iteration number T, setting hyperparameters mu and k, setting a score array R={}, for all candidate word pairs l x and l y from dictionaries L x and L y , obtaining corresponding word vectors x and y according to the dictionaries. The bilingual vocabulary mapping learning method based on the axis core word weighted retrieval standard combines a weighted moving average idea into an alignment iteration process, so that the optimization effect is more stable. Compared with existing bilingual dictionary retrieval technologies, the bilingual dictionary and the optimized multilingual word vector generated by the application are more suitable for specific field downstream tasks, and the application combines the weighted moving average idea, so that the problem of violent fluctuation caused by too large difference between new and old dictionaries can be alleviated.

Provided is an information processing system which excels in convenience and usefulness. A pair of an original sentence and a translated sentence is acquired, and is divided into phrases using a morpheme analyzer. The divided phrases are converted into vectors using an embedding model. A degree of similarity is calculated by using the vectors, and a similarity matrix is created. The similarity matrix is normalized to create a normalized matrix. A probability is calculated from the normalized matrix. A correspondence table listing a combination of an original sentence phrase and a translated sentence phrase is created, and a non-correspondence list listing phrases not included in the correspondence table is created. A prompt which includes the original sentence, the translated sentence, the correspondence table, and the non-correspondence list is created. A response to the prompt is generated using a large-scale language model, and a bilingual dictionary is created on the basis of the response results. A translated sentence phrase candidate and a determination reason are output by referring to the bilingual dictionary.

One or more processors extract, from a bilingual dictionary that includes pre-translation terms described in a first language and post-translation terms described in a second language respectively corresponding to the pre-translation terms, one or more pre-translation terms relevant to one or more source texts and one or more post-translation terms respectively corresponding to the one or more pre-translation terms. The processors input, into a language model, a translation prompt that includes the one or more source texts, the one or more pre-translation terms, the one or more post-translation terms, and a translation instruction that includes an instruction for the language model to translate the one or more pre-translation terms to the one or more post-translation terms. The processors acquire, from the language model, a translated text in which the one or more source texts are translated into the second language according to the translation instruction.

1. Name of the product in this design: English-Chinese bilingual dictionary machine. 2. Purpose of this design: for English teaching, English word lookup, and English self-study. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.