ANALYSIS OF A SERIES OF MACHINE TRANSLATION MODELS WITH TRANSFORMER FOR MINANGKABAU TO GERMANY

Machine translation has evolved from a word-for-word translation to a complex model that can take the context of a sentence and interpret it more accurately. In this final assignment, the author analyzes a series of machine translation models. The translation machine model used is the Transformer...

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Bibliographic Details
Main Author:	Aziz Alghifari, Abdul
Format:	Final Project
Language:	Indonesia
Online Access:	https://digilib.itb.ac.id/gdl/view/77759
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Institution:	Institut Teknologi Bandung
Language:	Indonesia

id	id-itb.:77759
spelling	id-itb.:777592023-09-14T07:21:05ZANALYSIS OF A SERIES OF MACHINE TRANSLATION MODELS WITH TRANSFORMER FOR MINANGKABAU TO GERMANY Aziz Alghifari, Abdul Indonesia Final Project neural machine translation, transformer, machine learning, natural language processing, series of tranlator. INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/77759 Machine translation has evolved from a word-for-word translation to a complex model that can take the context of a sentence and interpret it more accurately. In this final assignment, the author analyzes a series of machine translation models. The translation machine model used is the Transformer model. In this final assignment we will see how the performance of a series of Transformer models is to translate a series of languages, namely Minangkabu-Indonesia-English-German. In this final project, the BLEU score is used to assess model performance on test data. The analysis results show a decrease in the BLEU score for longer translation sequences. The BLEU score for a 4-language set is smaller than for a set with fewer languages. The analysis results also show that the Transformer model is not good enough to translate a language with a simple grammar into a language with a more complex grammar text
institution	Institut Teknologi Bandung
building	Institut Teknologi Bandung Library
continent	Asia
country	Indonesia Indonesia
content_provider	Institut Teknologi Bandung
collection	Digital ITB
language	Indonesia
description	Machine translation has evolved from a word-for-word translation to a complex model that can take the context of a sentence and interpret it more accurately. In this final assignment, the author analyzes a series of machine translation models. The translation machine model used is the Transformer model. In this final assignment we will see how the performance of a series of Transformer models is to translate a series of languages, namely Minangkabu-Indonesia-English-German. In this final project, the BLEU score is used to assess model performance on test data. The analysis results show a decrease in the BLEU score for longer translation sequences. The BLEU score for a 4-language set is smaller than for a set with fewer languages. The analysis results also show that the Transformer model is not good enough to translate a language with a simple grammar into a language with a more complex grammar
format	Final Project
author	Aziz Alghifari, Abdul
spellingShingle	Aziz Alghifari, Abdul ANALYSIS OF A SERIES OF MACHINE TRANSLATION MODELS WITH TRANSFORMER FOR MINANGKABAU TO GERMANY
author_facet	Aziz Alghifari, Abdul
author_sort	Aziz Alghifari, Abdul
title	ANALYSIS OF A SERIES OF MACHINE TRANSLATION MODELS WITH TRANSFORMER FOR MINANGKABAU TO GERMANY
title_short	ANALYSIS OF A SERIES OF MACHINE TRANSLATION MODELS WITH TRANSFORMER FOR MINANGKABAU TO GERMANY
title_full	ANALYSIS OF A SERIES OF MACHINE TRANSLATION MODELS WITH TRANSFORMER FOR MINANGKABAU TO GERMANY
title_fullStr	ANALYSIS OF A SERIES OF MACHINE TRANSLATION MODELS WITH TRANSFORMER FOR MINANGKABAU TO GERMANY
title_full_unstemmed	ANALYSIS OF A SERIES OF MACHINE TRANSLATION MODELS WITH TRANSFORMER FOR MINANGKABAU TO GERMANY
title_sort	analysis of a series of machine translation models with transformer for minangkabau to germany
url	https://digilib.itb.ac.id/gdl/view/77759
_version_	1822995488884916224

ANALYSIS OF A SERIES OF MACHINE TRANSLATION MODELS WITH TRANSFORMER FOR MINANGKABAU TO GERMANY

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