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Detecting Speech Disorders Using A Machine-Learning Guided Method in Spontaneous Tunisian Dialect Speech
This work investigates the disfluencies processing task within the natural spoken language comprehension field. We present a transcription-based...
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Simple measures of bridging lexical divergence help unsupervised neural machine translation for low-resource languages
Unsupervised Neural Machine Translation (UNMT) approaches have gained widespread popularity in recent times. Though these approaches show impressive...
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Towards a More Efficient Arabic-French Translation
Even though word-to-word translation is a relatively trivial task, translation becomes more and more difficult once sentences to be translated...
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An investigation in detection and mitigation of smishing using machine learning techniques
Mobile devices are currently more susceptible to cyberattacks than other types of devices, such as personal computers, as a result of the effects and...
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A Comprehensive Survey on Various Fully Automatic Machine Translation Evaluation Metrics
The fast advancement in machine translation models necessitates the development of accurate evaluation metrics that would allow researchers to track...
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A Deep Learning Approach for Sentiment and Emotional Analysis of Lebanese Arabizi Twitter Data
Arabizi is an Arabic dialect that is represented in Latin transliteration and is commonly used in social media and other informal settings. This...
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Augmenting training data with syntactic phrasal-segments in low-resource neural machine translation
Neural machine translation (NMT) has emerged as a preferred alternative to the previous mainstream statistical machine translation (SMT) approaches...
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Comparing Transformer-Based Machine Translation Models for Low-Resource Languages of Colombia and Mexico
This paper offers a comparative analysis of two state-of-the-art machine translation models for Spanish to Indigenous languages of Colombia and...
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Social media text analytics of Malayalam–English code-mixed using deep learning
Zigzag conversational patterns of contents in social media are often perceived as noisy or informal text. Unrestricted usage of vocabulary in social...
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Machine translation from text to sign language: a systematic review
An equal opportunity for all is the basic right of every human being. The deaf society of the world needs to have access to all the information just...
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Pseudo Transfer Learning by Exploiting Monolingual Corpus: An Experiment on Roman Urdu Transliteration
This paper shares two things: an efficient experiment for “pseudo” transfer learning by using huge monolingual (mono-script) dataset in a...
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Towards Offensive Language Identification for Tamil Code-Mixed YouTube Comments and Posts
Offensive Language detection in social media platforms has been an active field of research over the past years. In non-native English-speaking...
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Experience of neural machine translation between Indian languages
In this paper we explore neural machine translation (NMT) for Indian languages. Reported work on Indian language Statistical Machine Translation...
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Emerging resources, enduring challenges: a comprehensive study of Kashmiri parallel corpus
This study addresses the critical shortage of parallel corpora for the Kashmiri language, a significant barrier to advancing language processing...
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Sentimental analysis from imbalanced code-mixed data using machine learning approaches
Knowledge discovery from various perspectives has become a crucial asset in almost all fields. Sentimental analysis is a classification task used to...
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Scrutinization of Urdu Handwritten Text Recognition with Machine Learning Approach
Urdu Nastaliq script is a cursive and ligature-based script that is very difficult to recognize and detect using current computer algorithms dues to...
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VIKAS: A Multimodal Framework to Aid in Effective Disaster Management
In the event of a disaster, social media is often used to draw attention to affected areas and distressed people. The massive population and...
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Addressing the data gap: building a parallel corpus for Kashmiri language
This paper marks a significant step forward in language technology for low-resource languages by develo** the first parallel corpus for the...
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A Semi-supervised Approach for Sentiment Analysis of Arab(ic+izi) Messages: Application to the Algerian Dialect
In this paper, we propose a semi-supervised approach for sentiment analysis of Arabic and its dialects. This approach is based on a sentiment corpus,...
