40 results about "Grammatical relation" patented technology

A general digital semantic database for mechanical language translation is provided. The database has vocabulary decomposed to part of speech characteristics and semantic characteristics to form inseparable basic semantic points. The vocabulary is regularly ordered according to classes of the semantic characteristic, part of speech characteristic, background and grammatical relation. Two or more languages are configured on the basic semantic points according to a synonymies relation. The languages are discretionarily interchanged based on the basic semantic points by a machine. The languages semantemes and syntax relation formula are configured in the semantic database to realize an automatic paginal translation.

A system for extracting ontological information from a body of text is disclosed. The system parses one or more sentences from the body of text into parse tree format to generate a set of parsed sentences. The system further performs named-entity-recognition by identifying a subset of parsed sentences from the set of parsed sentences. A subset of noun phrases from the subset of parsed sentences are identified and the noun phrases are examined to classify the noun phrases as an entity or as a property. The system also identifies and outputs a conceptual relationship between the entity and the property based at least partially on grammatical relationship of the entity and the property.

A method for determining a destination on a map, equipment and a storage medium are provided. The method comprises the following steps: acquiring N fragments of a text; determining a recursive sequence of the N fragments based on a grammatical relationship among the N fragments of the text; for each of the N fragments, selecting a matching model from a plurality of models based on the meaning of the fragment; according to a recursive order, inputting each segment together with an initial region of the map or an updated region output by the matching model for a previous segment of the segment in the recursive order into the matching model of the segment; and using an updated region output by the matching model for the last segment in the recursive order as a destination in the map.

The invention discloses a sentence exploring method which can be used for analyzing sentences and supporting learning of the analysis. According to the method, a sentence exploring data development tool and a sentence data player are set, so that an analyzing and exploring type sentence interaction learning application is realized; the method is realized on the basis of a background database and comprises the following steps of: understanding the sentence meanings, understanding words in the sentences, understanding the grammatical relation, understanding the functions of sentences in the context, transforming the sentence pattern according to the meaning expression, and performing word replacement according to the semantic relation. According to the sentence exploring method used for analyzing sentences and supporting learning of the analysis, sentence learning is performed by employing the sentence exploring method, so that sentence sound can be played, the sentences can be repeated read and followed, a learner can learn the structure and relationship between the inner words of the sentences and between the sentences through three different modes of playing, interacting and exploring, the grammatical knowledge in the sentences is further mastered, and the aim of flexibly using the sentences is fulfilled.

The disclosure provides a text processing method, device, electronic equipment and storage medium. Wherein, the method includes: generating a syntax tree of the text to be processed through a syntax tool; converting the syntax tree to obtain a syntax graph of the text to be processed; based on the syntax graph, character in the text to be processed The grammatical relationship of the characters is encoded to obtain the grammatical relationship feature data of the characters in the text to be processed; based on the character grammatical relationship feature data and the acquired character semantic feature data, the grammatical relationship of the characters is grammatically enhanced to obtain the character. Grammatically enhanced feature data: based on character-based grammatically enhanced feature data, prosodic boundary prediction and polyphone disambiguation are performed on characters, and prosodic boundary prediction results of characters and polyphone disambiguation results are obtained. Through the disclosure, while taking into account the accuracy of prosodic boundary prediction and disambiguation of polyphonic characters, the text processing of the front-end module can be effectively simplified.