The article examines the history and criteria of Chinese mathematical terminology, highlighting well‑translated terms like "微积分" and "向量", exposing misleading translations such as "数学归纳法", and offering guidelines for creating clear, concise, and unambiguous mathematical names.
This article explains why the official Python documentation historically lacked a Chinese version, shows how to access the Chinese docs via https://docs.python.org/zh-cn, lists the available language versions and content coverage, and provides tips for searching within the translated documentation.
This article explains the purpose and mechanics of common Chinese character encodings—including ASCII, GB2312, GBK, GB18030, UTF‑8, ANSI and Latin‑1—detailing how they map characters to numbers, handle byte boundaries, and maintain compatibility to avoid garbled text.
This article explains three practical methods—using response.content, apparent_encoding, and custom encode/decode—to resolve Chinese character garbling in Python web crawlers, includes code snippets and screenshots, and offers concise guidance for developers facing this common issue.
This guide explains how to install the overtrue/pinyin Composer package and demonstrates various PHP methods for converting Chinese text to pinyin, including tone styles, array output, permalink generation, abbreviation extraction, handling polyphones, and using the command‑line tool.
This tutorial walks you through NLP fundamentals, the evolution of BERT, the concept of pre‑trained models, and a step‑by‑step guide to fine‑tune a Chinese BERT on a cloze‑style task, complete with code snippets and verification results.
The article summarizes two INTERSPEECH 2021 papers from Beike's voice technology team, detailing a grammar‑based semantic data augmentation method that improves end‑to‑end Chinese speech recognition and introducing GigaSpeech, a massive 10,000‑hour multilingual English speech dataset for robust ASR research.
This article explains why MySQL's default full‑text index struggles with Chinese, demonstrates how to configure token size parameters, activate the ngram parser plugin, and adjust queries (including Boolean mode) to achieve reliable Chinese full‑text search results.
FinBERT 1.0 is an open‑source Chinese BERT model pre‑trained on large‑scale financial corpora that achieves 2‑5 % F1 improvements across multiple downstream fintech tasks without additional tuning, demonstrating the value of domain‑specific pre‑training for natural language processing.
This article presents a comprehensive overview of how 58.com leverages large‑scale voice data from call‑center, private phone, and micro‑chat platforms, detailing data collection, annotation, Kaldi‑based chain model training, lattice‑free techniques, and end‑to‑end Transformer‑CTC models to improve Chinese speech recognition performance.
This guide explains why MySQL tables default to latin1, demonstrates how to check and change table, session, and global character set settings, and shows the necessary my.cnf configuration changes to permanently enable UTF‑8 support for storing Chinese characters.
This article surveys a wide range of natural language processing libraries—including Python packages like NLTK and spaCy, Java frameworks such as OpenNLP and StanfordNLP, and specialized Chinese tokenizers like IKAnalyzer, ICTCLAS, and FudanNLP—detailing their features, usage, and setup steps for Chinese text analysis.
When moving data from Oracle to MySQL, Chinese characters may appear as garbled text because the server uses a latin1 charset; this guide explains three levels of fixes—table, database, and server—by configuring UTF‑8 settings and verifying the changes.
