# Frequent question: What is type token ratio?

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TTR is the ratio obtained by dividing the types (the total number of different words) occurring in a text or utterance by its tokens (the total number of words). A high TTR indicates a high degree of lexical variation while a low TTR indicates the opposite.

## How do you solve type-token ratio?

type-token ratio = (number of types/number of tokens) * 100 = (62/87) * 100 = 71.3% ABSTRACT: The type-token ratio (TTR) is a measure of vocabulary variation within a written text or a person’s speech.

## What is TTR in NLP?

The most popular measure is the Type-Token Ration (TTR). … Another measure of lexical richness you may use is Hapax richness, defined as the numbre of words that occur only once divided by the number of total words.

## What is moving average type-token ratio?

Conceptually, the moving-average type–token ratio MATTR (Covington & McFall, 2010) calculates the LD of a sample using a moving window that estimates TTRs for each successive window of fixed length. Initially, a window length is selected—for example, 10 words—and the TTR for words 1–10 is estimated.

## What is type and token frequency?

Type and token frequency are seen from the lexical vantage point, i.e. type frequency counts the number of words containing a particular phonological unit while token frequency records the frequency of occurrence of these words.

IMPORTANT:  What is the use of pan token number?

## What is the difference between type and token?

Token is an individual occurrence of a linguistic unit in speech or writing. This is contrasted with type which is an abstract category, class, or category of linguistic item or unit. Type is different from the number of actual occurrences which would be known as tokens.

## How is TTR measured?

The TTR was calculated as the number of days within target range divided by the total number of days in the observation period. Additionally, this method allowed for the combining of ranges of data that had been split by warfarin interruption.

## What is a high TTR?

TTR is the ratio obtained by dividing the types (the total number of different words) occurring in a text or utterance by its tokens (the total number of words). A high TTR indicates a high degree of lexical variation while a low TTR indicates the opposite.

## What is Templin’s type-token ratio?

Abstract. Reviews studies that have used M. C. Templin’s (1957) type/token ratios (TTRs) in child language research as an index of lexical diversity. In theory, TTRs weigh the range of vocabulary for the size of the speech sample.

## What is average TTR?

Obviously, the moving-average TTR of a text varies with the window size more or less the same way that the conventional TTR varies with the text length. Empirically, for typical English text, MATTR ≈ 2 W 0.2, so with window sizes of 100 and 500 words, typical MATTRs are 0.8 and 0.6 respectively.