Study of Kumaon Language for Natural Language Processing in End-to-End Conversation Scenario

Rawat, Bhupesh; Bist, Ankur Singh; Mehra, Nidhi; Fazri, Muhammad Faizal; Terah, Yochebed Anggraini

doi:10.34306/itsdi.v3i2.534

Cited by 17 publications

(6 citation statements)

References 5 publications

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“…Rawat et al, (2022) [29] examined the opportunities and constraints of developing a chatbot for the Kumaon language. It also links the Kumaon language to certain other languages to facilitate its industrial processing and offer a comprehensive overview of the language.…”

Section: Literature Of Reviewmentioning

confidence: 99%

“…Since chatbots are meant to mimic human conversational behavior, their underlying systems need constant fine-tuning and testing, and many existing bots still can't have a decent conversation or don't meet the basic industry requirements of a Turing test. Table 4 depicts a comparison between English, Devnagri (Indian language), and Kumaoni language [50].…”

Section: Machine Learning-based Chatbots Of the Kumauni Languagementioning

confidence: 99%

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Named Entity Recognition of Kumauni Language using Machine Learning (ML)

Pant¹,

Sharma²,

Kundu

2023

Preprint

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Communication between humans is impossible without the use of language. Natural Language Processing (NLP) is a technique that is used so that computers can comprehend various natural languages. Named Entity Recognition (NER) is a subtask of information extraction that aims to discover and categorize the components in given text into pre-defined categories. NER is an abbreviation for the phrase ”named entity recognition”. Machine translation, question-answering systems, and automatic summarization are exam- ples of the types of NLP tasks that can benefit from NER. The purpose of this research is to investigate whether or if it is possible to create a chatbot that converses in the Kumaon language, as well as any poten- tial difficulties that could arise in the process. In addition to this, the authors provide an in-depth exami- nation of Kumaoni as well as a mapping of the language into other languages to make its use in industrial processing more accessible.

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Section: Literature Of Reviewmentioning

confidence: 99%

Section: Machine Learning-based Chatbots Of the Kumauni Languagementioning

confidence: 99%

Named Entity Recognition of Kumauni Language using Machine Learning (ML)

Pant¹,

Sharma²,

Kundu

2023

Preprint

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“…Body temperature and heart rate are vital signs of clinical symptoms that are usually checked in the hospital. In some hospitals, this process still uses a manual system to control body temperature and heart rate, requiring nurses to go to the patient's room to record and manage the patient's heart rate and temperature [5]. Wireless monitoring technology can be performed remotely, simplifying the process of monitoring heart rate and temperature [6].…”

Section: Introductionmentioning

confidence: 99%

Web-Based Temperature, Oxygen Saturation, and Heart Rate Monitoring System

Rachmawati

Sanjaya²,

Edilia

2022

itsdi

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Heart rate and oxygen saturation is a tool designed to measure heart rate, oxygen level, and body temperature without any contact with the human body. It is mainly used to assess primary health conditions. Symptoms resulting from a heartbeat are abnormal conditions of tachycardia and bradycardia. Symptoms caused by oxygen levels are ARI and asthma, an irregular breathing condition. Symptoms of an abnormal heart rate and oxygen saturation may indicate disease. Therefore, we created a web-based heart rate and oxygen saturation monitoring system for this study. IoT (Internet of Things) is used to manufacture this tool. This tool is programmed with sensors such as the AMG8833 sensor, the MAX30102 sensor, and the ESP32 microcontroller as a data processor, and the data is sent via a Wi-Fi connection to be read from the sensor. Wirelessly to your website in real-time. The website displays sensor data sent wirelessly from the microcontroller and then stored in a web server database. This data collection or monitoring system makes it easier for us, especially medical personnel, to check the health and analyze the results of data stored in our web server database.

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“…Gray Level Co -occurrence Matrix (GLCM) feature extraction and neural network methods can be used in the road evaluation system. Subsequent developments used different feature extraction to increase the accuracy to be achieved in this study [12].…”

Section: Introductionmentioning

confidence: 99%

Implementation of KNN Methods And GLCM Extraction For Classification Of Road Damage Level

Lubis

Iskandar

Panjaitan

2022

itsdi

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Road damage that occurs on several road surfaces causes huge losses, especially for road users such as travel time, congestion, accidents and others , so it is necessary to assess the level of road damage. At this time, problems in determining the level of road damage such as detecting cracks, potholes, calculating the width of cracks, the percentage of cracks and generating the level of road damage are still carried out by slow manual calculations using the Surface method. Distress Index (SDI). In this study, the KNN and GLCM methods will be used to detect road damage. Based on the results of the tests carried out, the accuracy of the results of disease detection with the KNN method and GLCM extraction depends on the number of datasets contained in the system. The process of measuring the level of road damage to get the results of the level of damage to the road can be done quickly, namely by entering a road damage image into the application.

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Study of Kumaon Language for Natural Language Processing in End-to-End Conversation Scenario

Cited by 17 publications

References 5 publications

Named Entity Recognition of Kumauni Language using Machine Learning (ML)

Named Entity Recognition of Kumauni Language using Machine Learning (ML)

Web-Based Temperature, Oxygen Saturation, and Heart Rate Monitoring System

Implementation of KNN Methods And GLCM Extraction For Classification Of Road Damage Level

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