求翻译：基于人民日报1998中文标注语料库，分别使用二元语法与三元语法和隐马尔可夫模型对训练语料库进行数据统计，获取词性和词汇概率信息，结合Viterbi算法进行标注，实现了一个中文自动标注标注系统。是什么意思？

1998 Chinese People's Daily corpus-based label, respectively, using the binary syntax and grammar and ternary hidden Markov model training corpus statistics, the probability of access to speech and vocabulary information, combined with the Viterbi algorithm for labeling, to achieve automatic annotat

Based on people's daily Chinese callout corpora 1998 respectively, using syntax with $2 $3 syntax and hidden Markov models for training corpora for statistical data, and a glossary of terms for probabilistic information, in combination with Viterbi algorithm callout, achieving a Chinese automatic la

Based on the People's Daily 1998 Chinese labelling corpus, uses the dual grammar separately carries on the data statistics with three Yuan grammars and the hidden Markov models for the training corpus, the gain lexical category and the glossary probability information, unifies the Viterbi algorithm

Chinese annotation corpus based on people's daily, 1998, respectively, using binary and ternary syntax and the syntax of hidden Markov models on the corpus of training data and statistics, probability information gets part of speech and vocabulary, using Viterbi algorithm mark, implements a Chinese

1998 Chinese People's Daily corpus-based label, respectively, using the binary syntax and grammar and ternary hidden Markov model training corpus statistics, the probability of access to speech and vocabulary information, combined with the Viterbi algorithm for labeling, to achieve automatic annotat