Monday, November 29Digital Marketing Journals

Tag: language

Natural Language Processing (NLP) | Chatbots Life
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Natural Language Processing (NLP) | Chatbots Life

What is Natural Language Processing?NLP is a method or a way in which computer interprets the Human language are perform the task. Alexa, Siri, etc. are some of its example.Let’s start with the Spam Classifier:The spam classifier predicts whether received message is a ham or a spam.Let’s start with the dataset: The dataset consists of 5572 messages and their labels which is either “ham” or “spam”.import pandas as pdmessages = pd.read_csv(“SMSSpamClassifier”,sep=”t”,names=[‘label’,’message’])Now the labels needs to be converted in 0 and 1 labels which can be done using get_dummies() method of pandas library.y = pd.getdummies(messages[‘labels’])y = y.iloc[:1].valuesHere, y wil contain 0 for “ham” labels and 1 for “spam” labels.Now let’s look at independent data i.e. for x. For that 1st we...
Why Custom Language Models (CLMs) are Needed in Speech Recognition for Kids | by SoapBox | Jun, 2021
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Why Custom Language Models (CLMs) are Needed in Speech Recognition for Kids | by SoapBox | Jun, 2021

Welcome back to “Lessons from Our Voice Engine,” where members of our Engineering and Speech Tech teams offer high level insights into how our voice engine works.Lesson 2 is from Lora Lynn Asvos, a Computational Linguist on our Speech Tech team.What are CLMs?CLM stands for “custom language model.” As mentioned in Lesson 1, language models are statistical models of language that can predict the next word based on the context.CLMs are language models, as the name implies, but they have a little something extra. Instead of focusing generically on a given language, a CLM focuses on a specific domain of that language. This domain could be fairy tales, fables, scientific texts, cooking recipes, knitting patterns, you name it.Even though CLMs specialize in a particular domain, they are still b...
Voice Personalization. For a given text in any language or… | by Sangramsing Kayte | Jul, 2021
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Voice Personalization. For a given text in any language or… | by Sangramsing Kayte | Jul, 2021

The language characteristics derived from a certain text are mapped on acoustic features via a GANs-based TTS system.The features of the linguistic input include binary answers to linguistic context questions and numerical values, such as the number of words in the current sentence, the position of the current syllable in the word, and the length of the current phoneme.The acoustic features consist of melted cepstral coefficients and exciting parameters and of the basic frequency. The neural network parameters can be trained by using the input and output pairs derived from a training data set. Finally, a WORLD vocoder is used to synthesize speech from the acousticfeatures. The proposed model consists of two components as follow:Emotional Analysis Module:-The goal of this module is the d...
Build an Application Digital History using Natural Language Processing | by Sangramsing Kayte | Jun, 2021
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Build an Application Digital History using Natural Language Processing | by Sangramsing Kayte | Jun, 2021

With the historical text data, images data or speech data, we can build an application that will help to understand the historical terms more effectively and will also broad line the visuals if needed. Using Natural Language Processing techniques like named entity recognition, part-of-speech tagging we can aim for text summarization with the clear perspective of explaining the historical terms. The report can be generated which could be further utilized for analysis for specific incident or event. During learning history, I felt hard to pronounce the names of kingdom and rulers. Thus, we can apply, listen and speak button for difficult words in the document. This will help the user to understand the terms easily. We can also provide visuals for a specific event or specific dates. There ...
Generative Adversarial Networks using Unit Selection Synthesis Based Virtual Assistant for the Hindi Language | by Sangramsing Kayte
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Generative Adversarial Networks using Unit Selection Synthesis Based Virtual Assistant for the Hindi Language | by Sangramsing Kayte

The virtual assistant is a software-based program which can perform tasks or particular service for an individual. In the coming era, technology is expected to be simple to use and execute by the end-user. The field of artificial intelligence and mobile technology also helps the visually blind people to overcome their disability and to live a healthy balanced life. Now–a day’s speech recognition made it roots for performing and triggering the various activities in human life. And the English and many other foreign languages have made dominant and remarkable work for the same.The study reveals that companies like Google, Microsoft, Amazon shows its roots for English and other countries languages while for Indian languages is still a matter of research. Hindi is the national language of I...
Practical NLP for language learning | by Mateoiaswork | Feb, 2021
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Practical NLP for language learning | by Mateoiaswork | Feb, 2021

Using machine language models to help students identify proper nouns: Names, named entities, and the Wheel of Fortune CorpusEnglish Departments haven’t kept up with modern technology. Photo by Amir Tavas on UnsplashWhat is practical NLP?Machine learning and natural language processing have made incredible strides recently, but sometimes they seem a bit ….detached…. from the real world problems faced by low budget ESL teachers and language learners. So, I decided to do a series on practical NLP with a focus on language learning. In this first post I want to:introduce Named Entity Recognition (NER)provide a motivation for using NER to help language learnersshow how easy it is to use Spacy NER in practice.In future posts I will talk about more technical details such as deploying NER as an ...
Language Translation with Transformers in PyTorch | by Deep Gan Team | Jan, 2021
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Language Translation with Transformers in PyTorch | by Deep Gan Team | Jan, 2021

Mike Wang, John Inacay, and Wiley Wang (All authors contributed equally)If you’ve been using online translation services, you may have noticed that the translation quality has significantly improved in recent years. Since it was introduced in 2017, the Transformer deep learning model has rapidly replaced the recurrent neural network (RNN) model as the model of choice in natural language processing tasks. However, Transformer models, like OpenAI’s Generative Pre-trained Transformer (GPT) and Google’s Bidirectional Encoder Representations from Transformers (BERT) models, have quickly replaced RNNs as the network architecture of choice for Natural Language Processing (NLP). With the Transformer’s parallelization ability and the utilization of modern computing power, these models are big an...
Natural Language Processing (NLP) Is Driving Intelligent Email Automation | Enterprise Bot | by Enterprise Bot | Dec, 2020
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Natural Language Processing (NLP) Is Driving Intelligent Email Automation | Enterprise Bot | by Enterprise Bot | Dec, 2020

Email is the most preferred communication channel by consumers today while contacting a service provider. Only 35% of companies manage to send out real-time responses that meet customer expectations, 14% don’t respond to customer emails.- Source: Forrester ResearchCreating great customer experiences has become a top priority for businesses today. Due to the rapid shift in customer behavior, they now prefer going after brands delivering great personalized experiences over products and pricing. No matter how good your product is, if the customer email is sitting in a queue for days waiting for responses, it will backfire, causing higher customer churn.86% of buyers are willing to pay additional charges for receiving better customer service today. Per the Walker report 2020, CX will surpas...
Natural Language Principles. Natural Language Processing (NLP) | by Sangramsing Kayte | Dec, 2020
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Natural Language Principles. Natural Language Processing (NLP) | by Sangramsing Kayte | Dec, 2020

Natural language processing (NLP) is a branch of artificial intelligence that helps computers understand, interpret and manipulate human language. NLP draws from many disciplines, including computer science and computational linguistics, in its pursuit to fill the gap between human communication and computer understanding.Evolution of natural language processingWhile natural language processing isn’t a new science, the technology is rapidly advancing thanks to an increased interest in human-to-machine communications, plus an availability of big data, powerful computing and enhanced algorithms.As a human, you may speak and write in English, Spanish or Chinese. But a computer’s native language — known as machine code or machine language — is largely incomprehensible to most people. At you...
Biased language models can result from internet training data
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Biased language models can result from internet training data

Biased language models can result from internet training data Your privacy means the world to us. We share your personal information only when you give us explicit permission to do so, and confirm we have your permission each time. Learn more by viewing our privacy policy.Ok !function(f,b,e,v,n,t,s){if(f.fbq)return;n=f.fbq=function(){n.callMethod? n.callMethod.apply(n,arguments):n.queue.push(arguments)};if(!f._fbq)f._fbq=n; n.push=n;n.loaded=!0;n.v...