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Multilingual text categorization and sentiment analysis: a comparative analysis of the utilization of multilingual approaches for classifying twitter data
Text categorization and sentiment analysis are two of the most typical natural language processing tasks with various emerging applications...
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Multilingual mixture attention interaction framework with adversarial training for cross-lingual SLU
Cross-lingual spoken language understanding (cross-lingual SLU), as a key component of task-oriented dialogue systems, is widely used in various...
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Multilingual Image Corpus
The ELG pilot project Multilingual Image Corpus (MIC 21) provides a large image dataset with annotated objects and multilingual descriptions in 25...
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2M-NER: contrastive learning for multilingual and multimodal NER with language and modal fusion
Named entity recognition (NER) is a fundamental task in natural language processing that involves identifying and classifying entities in sentences...
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Crosslingual Content Scoring in Five Languages Using Machine-Translation and Multilingual Transformer Models
This paper investigates crosslingual content scoring, a scenario where scoring models trained on learner data in one language are applied to data in...
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Multilingual deep learning framework for fake news detection using capsule neural network
Fake news detection is an essential task; however, the complexity of several languages makes fake news detection challenging. It requires drawing...
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Towards a Linguistic Annotation of Arabic Legal Texts: A Multilingual Electronic Dictionary for Arabic
Terminology translation plays a significant role in domain-specific machine translation. However, some knowledge domains and languages still suffer...
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PUMAVE-D: panjab university multilingual audio and video facial expression dataset
Due to the significance of human behavioural intelligence in computing devices, this paper presents the Panjab University Multilingual Audio and...
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Multilingual spatial domain natural language interface to databases
A natural language interface (NLI) to databases is an interface that translates a natural language question to a structured query that is executable...
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Augmenting sentiment prediction capabilities for code-mixed tweets with multilingual transformers
People in the modern digital era are increasingly embracing social media platforms to express their concerns and emotions in the form of reviews or...
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COMFO: Multilingual Corpus for Opinion Mining
The use of Machine Learning (ML) algorithms in opinion mining, particularly supervised learning algorithms, requires an annotated corpus to train the...
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Multilingual hope speech detection in English and Dravidian languages
Recent work on language technology has aimed to identify negative language such as hate speech and cyberbullying as well as improve offensive...
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Automated Multilingual Detection of Pro-Kremlin Propaganda in Newspapers and Telegram Posts
The full-scale conflict between the Russian Federation and Ukraine generated an unprecedented amount of news articles and social media data...
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SentiCode: A new paradigm for one-time training and global prediction in multilingual sentiment analysis
The main objective of multilingual sentiment analysis is to analyze reviews regardless of the original language in which they are written. Switching...
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I beg to differ: how disagreement is handled in the annotation of legal machine learning data sets
Legal documents, like contracts or laws, are subject to interpretation. Different people can have different interpretations of the very same...
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Adapter-based fine-tuning of pre-trained multilingual language models for code-mixed and code-switched text classification
Code-mixing and code-switching are frequent features in online conversations. Classification of such text is challenging if one of the languages is...
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Vision-Based Multilingual Sign Language Translation
Like spoken languages, different countries use different sign languages which include a variety of gestures and movements. This demands the need for...
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Exploiting bilingual lexicons to improve multilingual embedding-based document and sentence alignment for low-resource languages
Neural machine translation systems trained on low-resource languages produce sub-optimal results due to the scarcity of large parallel datasets. To...
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Multilingual Embeddings for Clustering Cultural Events
In the present paper we describe our approach to semi-automatic text annotation based on clustering. Given a large collection of announcements of...
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Effective Automated Transformer Model based Sarcasm Detection Using Multilingual Data
Sarcasm detection is crucial for social media users to understand more about the underlying facts. However, determining the sarcasm only from text is...
