AbstractThis article describes the development of Example Based Machine Translation (EBMT) system using Java on Linux platform for translation from one language to another. In this particular case, I will be translating English sentences to Hindi. The principle of translating in EBMT is simple: a system decides an appropriate translation of an input sentence by analyzing the pre-translated sentences in the database.

If I pass a string (either in English or Arabic) as an input to the Google Translate API, it should translate it into the corresponding other language and give the translated string to me. I read the same case in a forum but it was very hard to implement for me. I need the translator without any buttons and if I give the input string it should automatically translate the value and give the. May 02, 2017  If your app is static i.e it does not take data from an external source like network, then you can use this method. First, create a string resource for each and every string in your app. Take the example of the app below. The app has four strings.

Therefore, the larger the database of pre-translated sentences, greater will be the accuracy of the EBMT system.This article is greatly inspired by the works of Ralf Brown and Balakrishnan who have done extensive research in this field. Introduction and BackgroundExample based translation is essentially translation by analogy.

This means that if an EBMT system is given a set of sentences in the source language (from which one is translating) and their corresponding translations in the target language, the system can use these examples to translate other such similar source language sentences into target language sentences. The basic premise is that, if a previously translated sentence occurs again, the same translation is likely to be correct again. Software UsedDeveloping your own machine translation is a difficult task. However, there are some tools that can help accelerate the process. I used the following tools in my EBMT system:. Moses Decoder. Giza.

IRST-LMBlock Diagram DescriptionI divided the entire EBMT system into four modules. Module I: Exact Match AlgorithmIn this module, the input English sentence is first checked with every sentence in the available bilingual corpora for an exact match. If found, the corresponding Hindi sentence is retrieved and displayed as output.In the case when the input is a paragraph, then the input is first broken down into sentences, and each sentence is taken one by one and translated. Module II: Sentence Rule Based TranslationEvery language has some grammar that describes how the words in the sentences should be organized. For instance, consider English vs. English follows Subject-Verb-Object (SVO) linguistic topology while Hindi follows Subject-Object-Verb (SOV) topology.

To illustrate this example, compare the following two sentences:English: Anshul plays footballHindi: Anshul football khelta haiThis module converts the input language into tokenized format. For example, the above English sentence is converted to plays This helps in generalizing the translation process.Besides this, there are many other linguistic rules that must be taken into consideration while translating sentences. Member 14597671 19-Sep-19 1:1819-Sep-19 1:18HeyI am a final year student and I am doing on the same topic for English to some other language translation.

I have difficulty in how to start the project,how to store the words in the database. Can you help me with that. I have read your article and it is very useful. Could you share me your java code(sourcecode) if it is possible else a more explained document or algorithim how i can continue with the project. It would be very kind of you.send me (amritadwivedi9816@gmail.com ). Mohitgarg1603 3-Feb-16 1:143-Feb-16 1:14Hello friend, we are working on project which is to make a software which takes audio(hindi) as input, converts it into text(english), searches on internet, again convert it into hindi and then in speech.The project is a part of unnat bharat abhiyan. It will be great if you can help us in whatever way you can.(source code, dataset, instructions or any information).

Please contact me on my mail (ism2013009@iiita.ac.in) as soon as possible. Thank you in advance. Samuel Kaiser 24-Sep-14 7:2324-Sep-14 7:23Hi,Am really glad i came across your article. I am a Computer Science student and i just started a project to create a language translator to translate from English to my local dialect and vise-varsa.

I already have a list of English words and phrase, including their translated texts and have already downloaded the necessary software as you have specified in your article. Please i need you to help me with how to develop a bilingual corpora with my pretranslated words and phrases.Thanks & Regards,Samuel K.skaiser649@gmail.com.

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