bigram analysis
双字词分析
bigram frequency
双字词频率
calculate bigrams
计算双字词
bigram model training
双字词模型训练
n-gram bigram
N元语法双字词
bigram language model
双字词语言模型
identify bigrams
识别双字词
bigram distribution
双字词分布
bigram segmentation
双字词分割
bigram analysis is useful in natural language processing.
双字组分析在自然语言处理中特别有用。
in linguistics, a bigram is a sequence of two adjacent elements.
在语言学中，双字组是两个相邻元素的序列。
bigram models help in predicting the next word in a sentence.
双字组模型有助于预测句子中的下一个单词。
we can use bigram frequency to improve text generation.
我们可以使用双字组频率来改善文本生成。
analyzing bigrams can reveal patterns in language usage.
分析双字组可以揭示语言使用中的模式。
bigram statistics are essential for building language models.
双字组统计对于构建语言模型至关重要。
using bigram features can enhance machine learning algorithms.
使用双字组特征可以增强机器学习算法。
bigram collocations often appear in everyday speech.
双字组搭配常出现在日常对话中。
the bigram approach is widely used in speech recognition systems.
双字组方法在语音识别系统中被广泛使用。
researchers study bigrams to understand language trends.
研究人员研究双字组以了解语言趋势。
bigram analysis
双字词分析
bigram frequency
双字词频率
calculate bigrams
计算双字词
bigram model training
双字词模型训练
n-gram bigram
N元语法双字词
bigram language model
双字词语言模型
identify bigrams
识别双字词
bigram distribution
双字词分布
bigram segmentation
双字词分割
bigram analysis is useful in natural language processing.
双字组分析在自然语言处理中特别有用。
in linguistics, a bigram is a sequence of two adjacent elements.
在语言学中，双字组是两个相邻元素的序列。
bigram models help in predicting the next word in a sentence.
双字组模型有助于预测句子中的下一个单词。
we can use bigram frequency to improve text generation.
我们可以使用双字组频率来改善文本生成。
analyzing bigrams can reveal patterns in language usage.
分析双字组可以揭示语言使用中的模式。
bigram statistics are essential for building language models.
双字组统计对于构建语言模型至关重要。
using bigram features can enhance machine learning algorithms.
使用双字组特征可以增强机器学习算法。
bigram collocations often appear in everyday speech.
双字组搭配常出现在日常对话中。
the bigram approach is widely used in speech recognition systems.
双字组方法在语音识别系统中被广泛使用。
researchers study bigrams to understand language trends.
研究人员研究双字组以了解语言趋势。
探索常用高频词汇