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International Journal of Advances in Electronics and Computer Science, ISSN: 23932835Volume2, Issue5, May2015NGRAM MACHINE TRANSLATION SYSTEM FOR ENGLISH TO PUNJABI TRANSLITERATION SISAL FINAL Assistant

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How to fill out n-gram machine translation system

01

First, gather a corpus of parallel sentences in both the source language and the target language.

02

Next, preprocess the corpus by tokenizing the sentences and cleaning any unnecessary characters or noise.

03

Then, create n-grams of varying sizes from the preprocessed sentences, considering the source language as the input and the target language as the output.

04

After that, calculate the frequencies of each n-gram occurrence in the source and target languages.

05

Using the frequency information, estimate the probabilities of the target n-grams given the source n-grams.

06

Combine the probabilities of the n-grams using a suitable smoothing method, such as Laplace smoothing.

07

Implement an algorithm or model that utilizes the n-gram probabilities to generate translations for new sentences.

08

Evaluate and refine the translation system using appropriate metrics and feedback from human evaluators.

09

Finally, deploy the n-gram machine translation system for real-world use and continually improve its performance with updates and enhancements.

Who needs n-gram machine translation system?

01

N-gram machine translation systems are beneficial for anyone who needs to translate text from one language to another automatically and efficiently.

02

Language service providers can utilize n-gram machine translation systems to enhance their translation workflows and improve overall productivity.

03

Multinational companies with global operations can benefit from n-gram machine translation systems to facilitate communication and understanding across language barriers.

04

Researchers and developers in the field of natural language processing (NLP) may need n-gram machine translation systems to build upon and advance translation technologies.

05

Individuals who frequently interact with foreign languages, such as travelers or language learners, can use n-gram machine translation systems as a quick and accessible tool for understanding and communicating in different languages.

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What is n-gram machine translation system?

N-gram machine translation system is a type of machine translation system that uses n-grams to predict the likelihood of a sequence of words in a target language.

Who is required to file n-gram machine translation system?

Developers or organizations that use n-gram machine translation systems are required to file it.

How to fill out n-gram machine translation system?

You can fill out n-gram machine translation system by providing information about the specific n-gram models used, training data, and evaluation metrics.

What is the purpose of n-gram machine translation system?

The purpose of n-gram machine translation system is to automatically translate text from one language to another using statistical models.

What information must be reported on n-gram machine translation system?

Information such as n-gram models, training data source, evaluation results, and any improvements or modifications made to the system must be reported.

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