Automatic Language Translation Using Machine Learning Training Ppt

Slide 1

This slide discusses the importance of language translation as it is a means of communication that connects people from various multilingual communities. It also emphasizes the critical importance of developing innovative technical solutions to the age-old problem of digital divide that linguistic limitations can cause.

Slide 2

This slide discusses Google Translate as a use case of Automatic Language Translation via Machine Learning. Google Translate is a multilingual translation tool that Google provides for free. It has a website interface and Android and iOS mobile apps, and developers can use its Application Programming Interface (API) to create browser extensions and software apps.

Instructor’s Notes: Google Translate serves over 500 million individuals every day, and translates over 100 billion words per day.

Slide 3

This slide introduces Microsoft Translator as a use case of Automatic Language Translation using Machine Learning. Microsoft Translator is a multilingual machine translation (MT) cloud service that works with consumer, developer, and enterprise applications.

Slide 4

This slide talks about Facebook Translator, which is another tool used for automatic language translation. Facebook Translator (FT) introduced a new translation tool and approach that allowed users to translate the site into their languages. It supports over 100 languages.

Slide 5

This slide lists limitations of Automatic Language translation such as content loses its concise element, doubtful correctness of translation, lack of precision, poor quality, and technological limitations.

Instructor’s Notes:

• Content loses its concise element : By using an alternate word for each word in the source language, machine translation techniques dilute the information's conciseness, which makes the communication lengthy, offend the reader, and redirect their focus away from the text's primary aim
• Doubtful correctness of translation: In any language, accuracy is a must for effective communication. As a result, it's vital to remember that the integrity of the content should never be sacrificed while translating a document into another language. During the translation process, machine translation cannot maintain the text's accuracy
• Lack of precision: Computer-aided translations (CAT) cannot be at par with human translations in terms of accuracy while translating ambiguous terminology. Human translators with extensive experience can guarantee that translated materials are accurate, exact, and consistent
• Poor quality: The low quality of the translated text is a fundamental disadvantage of machine translation. Machine translations can't put the text in its appropriate context, and human translators need to be mindful of cultural references, colloquial idioms, industrial jargon, and other nuances
• Technological limitations: Many specialized solutions in this field cannot be handled since machine translation follows systematic principles. Machine translation cannot translate from file formats, such as PDF, DOC, and TXT