Performance Optimization Guide
Enhancing the efficiency of japanese-analyzer processing can be done in the following ways:
- parallel processing: Take advantage of the goroutine feature of the Go language to process multiple pieces of text at the same time.
- Preprocessing Optimization: De-noise the text, remove redundant spaces, etc. before analyzing it.
- caching mechanism: Create a cache of the results of the analysis of high-frequency vocabulary to reduce double counting.
- hardware acceleration: Enable the GOAMD64 parameter at compile time to utilize the CPU's advanced instruction set, where supported.
- batch: For very large text, it can be divided into multiple small files and processed separately.
Tests have shown that when processing 1GB of Japanese text on a 16-core server, a chunked parallelism strategy can reduce the processing time from 20 minutes to less than 3 minutes. Specific optimization parameters can be found in the Makefile of the project. For more specialized optimization needs, it is recommended to learn Go language performance tuning techniques in depth.
This answer comes from the articlejapanese-analyzer: open source tool for parsing and learning Japanese textThe
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