Bigram is a term that is commonly used in the field of linguistics and computer science. It refers to a sequence of two adjacent elements in a string of words, characters, or symbols. In this article, we will explore the definition and meaning of bigram in detail, along with its origin, associations, synonyms, and antonyms.
Definitions
A bigram is a pair of consecutive words or characters that appear in a text or sequence. It is a type of n-gram, which is a contiguous sequence of n items from a given sample of text or speech. In the case of bigram, n is equal to 2.
In computational linguistics, bigram is used as a statistical model to analyze the frequency and distribution of words or characters in a text corpus. This model is based on the assumption that the probability of a word or character appearing in a text is dependent on the preceding word or character.
Origin
The term bigram originated from the combination of two words, “bi” meaning two and “gram” meaning a written or recorded symbol. The concept of bigram has been used in various fields such as linguistics, computer science, and mathematics.
Meaning in different dictionaries
According to the Oxford Dictionary, bigram is defined as “a pair of consecutive letters or characters in a text.” The Merriam-Webster Dictionary defines bigram as “a sequence of two adjacent letters or characters that are considered as a single unit.”
Associations
Bigram is associated with various fields such as natural language processing, computer science, data analysis, and machine learning. It is used in these fields to analyze the frequency and distribution of words or characters in a text corpus.
Synonyms
The synonyms of bigram include:
- Bi-letter.
- Diacritical pair.
- Digram.
- Doublet.
- Pair.
- Twin letter.
Antonyms
There are no specific antonyms of bigram as it is a technical term used in a specific field.
The same root words
There are no specific root words associated with bigram.
Example Sentences
Here are a few example sentences that use the term bigram:
- The bigram analysis of the text showed that the most common pair of words was “the” and “of.”
- The natural language processing algorithm used a bigram model to predict the next word in the sentence.
- The bigram frequency distribution chart showed that the letter “e” was the most common second letter in a pair of letters.