Example sentence searching method and system

Abstract

The invention relates to the field of natural language processing, and provides an example sentence searching method according to query. The method comprises the following steps of: obtaining the query input by a user; processing the query input by the user; searching sample sentences matched with the query in an example sentence library, and calculating the relativity of the query and the example sentences; carrying out example sentence relativity scoring adjustment according to a usage diversity or translation diversity principle, and sorting the example sentences; outputting the example sentences and presenting phrases in the example sentences. The invention further provides an example sentence searching system according to the query. According to the scheme provided by the invention, various factors are comprehensively considered in calculation of the relativity of the query and the example sentences, and specifically, the features of the related phrases to the query in the example sentences, the syntactic features, the example sentence structure integrality feature, the sentence length feature and the digital noise feature of punctuations in the example sentences are comprehensively considered for calculating the relativity of the query and the example sentences; and the method is superior to other relativity calculation methods.

Description

technical field [0001] The invention relates to the field of natural language processing, in particular to a method and system for example sentence retrieval. Background technique [0002] With the in-depth development of Internet technology, it is more convenient for people to obtain the information they need in writing or language learning. Example sentence retrieval assists users in obtaining (bilingual) example sentences that match the input, so as to meet the user's needs for understanding word usage or translation. In addition, in machine translation, example sentence retrieval is also used to make the translation more accurate. [0003] So far, there are mainly the following methods for calculating the correlation between query (that is, query words) and example sentences in example sentence retrieval: one is based on the number or length of matching queries in the example sentence; the other is based on the length of the example sentence and the matching query strin...

AI Technical Summary

Problems solved by technology

[0005] The main reason for users to use example sentence retrieval is to understand the related usage or translation of the query. Most of the existing example sentence and query correlation calculations only consider the matching at the string level, which cannot meet the needs of users. There are specific output example sentence retrieval results. The following questions:

[0006] 1. The example sentences only focus on word-level matching, and may not reflect the common (or certain) usage of query or the diversity of translation;

[0007] 2. May output ambiguous results;

[0011] 3. Output example sentences with incomplete structure;

[0012] 4. The output example sentence is too long or too short;

[0013] 5. The information contained in the output example sentence is not rich;

Images