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Mobile Language Translator Using Firebase Machine Learning Kit

Abstract: A Mobile Language Translator Invention which can help people communicate with each other by translating a particular language to another language. It does so by analyzing and interpreting the language variation problem. Many countries still have difficulties in communicating with each other. As a result, many people still rely on language interpreters (Human Translators) to help them communicate efficiently. This is a very useful and productive approach to address the language differences issues. This invention can also help users to learn and improve their language translation skills. It will also allow them to communicate with each other in a non-intimidating and relaxing manner. 5 claims & 1 Figure

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Notices, Deadlines & Correspondence

Patent Information

Application #
Filing Date
30 April 2022
Publication Number
19/2022
Publication Type
INA
Invention Field
COMPUTER SCIENCE
Status
Email
Parent Application

Applicants

MLR Institute of Technology
Laxman Reddy Avenue, Dundigal-500043, Medchal-District, Hyderabad

Inventors

1. Mr. Anjaneyulu
Department of Computer Science and Engineering, MLR Institute of Technology, Laxman Reddy Avenue, Dundigal-500043, Medchal-District, Hyderabad
2. Mr. B. Anandkumar
Department of Computer Science and Engineering, MLR Institute of Technology, Laxman Reddy Avenue, Dundigal-500043, Medchal-District, Hyderabad
3. Dr. B. Madhuravani
Department of Computer Science and Engineering, MLR Institute of Technology, Laxman Reddy Avenue, Dundigal-500043, Medchal-District, Hyderabad
4. Dr.P.Subhasini
Department of Computer Science and Engineering, MLR Institute of Technology, Laxman Reddy Avenue, Dundigal-500043, Medchal-District, Hyderabad
5. Mr. Gundu Suhas Reddy
Department of Computer Science and Engineering, MLR Institute of Technology, Laxman Reddy Avenue, Dundigal-500043, Medchal-District, Hyderabad
6. Mr. Kothapalli Aravind
Department of Computer Science and Engineering, MLR Institute of Technology, Laxman Reddy Avenue, Dundigal-500043, Medchal-District, Hyderabad
7. Mr. Patthipati Nithish
Department of Computer Science and Engineering, MLR Institute of Technology, Laxman Reddy Avenue, Dundigal-500043, Medchal-District, Hyderabad
8. Mr. Sathwik Reddy Vementhala
Department of Computer Science and Engineering, MLR Institute of Technology, Laxman Reddy Avenue, Dundigal-500043, Medchal-District, Hyderabad

Specification

Claims:The scope of the invention is defined by the following claims:

Claim:
1. A system/method for language translator using Machine Learning Kit, said system/method comprising the steps of:
a) The system starts with application hosting (1), then the users have to select the targeted language (2).
b) The Inputs from the user (3) are given in three ways, if it is a text (4), then the text is send to Natural language processing and understanding (5). If it is a voice/audio (6), then sends audio to Natural language processing and understanding (7).
c) The text/audio inputs are converted to targeted language (8) at the final stage.
2. As mentioned in claim 1, the invented system has two ways to gets the user inputs.
3. According to claim 1, if it is a text, sending a first text or second text to Machine Learning Kit. After understanding, the text will converted into targeted languages.
4. According to claim 1, if it is audio, first audio is converted to from language text then it will converted to targeted language.
5. As per claim 1, the input text/audio is converted to targeted language using machine learning kit. , Description:MOBILE LANGUAGE TRANSLATOR USING FIREBASE MACHINE LEARNING KIT
Field of Invention
The present invention is relates to a system and method for providing translation of one language to another language using Firebase machine learning kit.
The Objectives of this Invention
The invention's major goal is to translate one language to another language using firebase machine learning kit. This invention having features of voice to text conversion and vice versa.
Background of the Invention
In recent years, natural gas has become available to a large number of families, ensuring the upgrading of modern lives. Even though, someone has to palate the harsh capsule of gas leaks on a regular basis. According to the Indian government, a certain Indian city was first exposed to use coal gas in 1964, and since then, tens of thousands of people have died in accidents due to coal gas leaks. First, type of technique has been introduced in AU. Pat. No. (AU2020/202483A1) by Samantha, this a first system to identify the gas leakage using the actuator. If a leak occurs, an actuation mechanism is linked to the solenoid valve to shut the valve assembly's circulation route. The signal from the sensors is analyzed by a programmatic computer system, which then engages the actuator device to shut the pathway of the valve.
The another type of application proposed in (CN2004/2816780Y), which can detect gas leaks in real time, recognize gas movement floor slight changes, and is very sensitivity, can recognize that air inflow does not even have compression and measuring, and implements an intelligence coal gas leakage automatic monitoring system quickly and effectively. Another method was proposed in (KR2016/0051416A), here, they have used the camera to capture the leakage image and send to the user side. The (KR2015/0001071A), identify the leakage using the internal heat of the internal gas stuff is detected, and gas valve is closed for a period of time manually.
The (Younas et al [2020], E3S Web of Conferences 173, 01006), proposed LPG gas detection and notification system that depends on a microcontroller. It also explains the creation of a self-directed Smartphone mobile device for gas leak monitoring that may be deployed in a variety of locations. The sensor based leakage detection system was introduced by (Khan [2020], Eng. Proc. 2020, pp. 1-6).
Summary of the Invention
The necessity for the present invention arises from the difficult techniques for choosing a new language when employing a mobile language translation system. People frequently travel from one country to another and may require translator services in multiple of languages vary from place to place.
Detailed Description of the Invention
Machine Translation (MT) is a process of transforming one natural language into an employing computer. Arithmetical Machine Translation is a method for Machine Translation that is categorized by the using the machine learning approaches. There are nearly 6,500 languages globally. In information communication, language is a significant barrier from centuries, and humans have always tried to provide a solution to the issues for language translation. Over the decade's we the humans have developed various ways of translating languages into other to solve the problems associated with language difference. The first approach which was implemented in solving this language problem was by using the translators as source who will be able to understand and translate both languages to the people. This method is not the most efficient and effective method of language translation. This method involves the translator being able to comprehend and express the language being translated and also understand and talk about the language of the party in which the language is going to be converted. Language Translation is useful in many ways, such as education. It is challenge to teach in a specific language if the people who do not understand the language of the tutor. For the students to have a complete understanding of what they are being taught, an interpreter will be needed. In tourism, tourists may not be able to communicate with people successfully in the tourist country he or she visited, thus hindering communication. In communicating in general language, differences could lead to hindrance inaccurate dissemination of information. In politics, language understanding is an essential factor in some countries like Nigeria, which has about 520 languages spoken in Nigeria, because of multiple ethnicity. Therefore, each representative must be able to communicate successfully in other language to share their ethnic view. In entertainment, language understanding is another significant factor because, for viewers to understand any content concerning entertainment, the viewers must also understand the scope of language in many other sectors. Language is a significant factor in communication, without which it is impossible to accomplish meaningful results. For these reasons, the language translation is significant in the Society. Therefore, it is the importance to find a different approach other than standard human language translation by uses a mobile phone, computer, or machine translation, which forces on translating the major languages spoken across the world. Therefore, we choose Android as our platform to develop an android-based language translation application that solves the significant languages commonly spoken around the world. The android-based system provides a way for the people who cannot read a language because they don't share a common language, or for other purposes. Our System provides both online and offline services to translate the text. The user must first choose a from and to language from a dropdown list, and then submit inputs in the text box. There are two ways to enter user input in this invention: text box and microphone. When the microphone icon is pressed, the microphone in the user's phone is activated, and when the user speaks, the user's voice is taken as input. This invention will convert the speech into text format using the Firebase Machine Learning Kit (ML Kit) service, and will automatically fill the converted speech to text data into the text box. Finally, if the user presses the translation button for the first time, the language model will be retrieved, and the text will be translated into the user's preferred language and shown in the output text field box. These components are quite useful and give word-for-word translation. This application will support 59 languages from around the world, each with its own module. Only when you make a request for the first time is a language-specific module generated.
5 Claims & 1 Figure
Brief description of Drawing
In the figure which are illustrate exemplary embodiments of the invention.
Figure 1, the Process of Language Translator

Documents

Application Documents

# Name Date
1 202241025415-REQUEST FOR EARLY PUBLICATION(FORM-9) [30-04-2022(online)].pdf 2022-04-30
2 202241025415-FORM-9 [30-04-2022(online)].pdf 2022-04-30
3 202241025415-FORM FOR SMALL ENTITY(FORM-28) [30-04-2022(online)].pdf 2022-04-30
4 202241025415-FORM 1 [30-04-2022(online)].pdf 2022-04-30
5 202241025415-EVIDENCE FOR REGISTRATION UNDER SSI(FORM-28) [30-04-2022(online)].pdf 2022-04-30
6 202241025415-EVIDENCE FOR REGISTRATION UNDER SSI [30-04-2022(online)].pdf 2022-04-30
7 202241025415-EDUCATIONAL INSTITUTION(S) [30-04-2022(online)].pdf 2022-04-30
8 202241025415-DRAWINGS [30-04-2022(online)].pdf 2022-04-30
9 202241025415-COMPLETE SPECIFICATION [30-04-2022(online)].pdf 2022-04-30