bigram analysis
bigram analyse
bigram frequency
bigram hyppighed
calculate bigrams
beregn bigrammer
bigram model training
bigram modeltræning
n-gram bigram
n-gram bigram
bigram language model
bigram sprogmodel
identify bigrams
identificer bigrammer
bigram distribution
bigram fordeling
bigram segmentation
bigram segmentering
bigram analysis is useful in natural language processing.
bigram-analyse er nyttigt i naturlig sprogbehandling.
in linguistics, a bigram is a sequence of two adjacent elements.
Inden for lingvistik er en bigram en sekvens af to tilstødende elementer.
bigram models help in predicting the next word in a sentence.
Bigram-modeller hjælper med at forudsige det næste ord i en sætning.
we can use bigram frequency to improve text generation.
Vi kan bruge bigram-frekvens til at forbedre tekstgenerering.
analyzing bigrams can reveal patterns in language usage.
Analyse af bigrammer kan afsløre mønstre i sprogbrug.
bigram statistics are essential for building language models.
Bigram-statistik er afgørende for at opbygge sprogmodeller.
using bigram features can enhance machine learning algorithms.
Brug af bigram-funktioner kan forbedre maskinlæringsalgoritmer.
bigram collocations often appear in everyday speech.
Bigram-kombinationer forekommer ofte i daglig tale.
the bigram approach is widely used in speech recognition systems.
Bigram-tilgangen bruges i vid udstrækning i talegenkendelsessystemer.
researchers study bigrams to understand language trends.
Forskere studerer bigrammer for at forstå sprogtrends.
bigram analysis
bigram analyse
bigram frequency
bigram hyppighed
calculate bigrams
beregn bigrammer
bigram model training
bigram modeltræning
n-gram bigram
n-gram bigram
bigram language model
bigram sprogmodel
identify bigrams
identificer bigrammer
bigram distribution
bigram fordeling
bigram segmentation
bigram segmentering
bigram analysis is useful in natural language processing.
bigram-analyse er nyttigt i naturlig sprogbehandling.
in linguistics, a bigram is a sequence of two adjacent elements.
Inden for lingvistik er en bigram en sekvens af to tilstødende elementer.
bigram models help in predicting the next word in a sentence.
Bigram-modeller hjælper med at forudsige det næste ord i en sætning.
we can use bigram frequency to improve text generation.
Vi kan bruge bigram-frekvens til at forbedre tekstgenerering.
analyzing bigrams can reveal patterns in language usage.
Analyse af bigrammer kan afsløre mønstre i sprogbrug.
bigram statistics are essential for building language models.
Bigram-statistik er afgørende for at opbygge sprogmodeller.
using bigram features can enhance machine learning algorithms.
Brug af bigram-funktioner kan forbedre maskinlæringsalgoritmer.
bigram collocations often appear in everyday speech.
Bigram-kombinationer forekommer ofte i daglig tale.
the bigram approach is widely used in speech recognition systems.
Bigram-tilgangen bruges i vid udstrækning i talegenkendelsessystemer.
researchers study bigrams to understand language trends.
Forskere studerer bigrammer for at forstå sprogtrends.
Udforsk ofte søgte ordforråd
Vil du lære ordforråd mere effektivt? Download DictoGo-appen og få glæde af flere funktioner til at huske og gennemgå ordforråd!
Download DictoGo nu