AIMC Topic: Language

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Improved Arabic Alphabet Characters Classification Using Convolutional Neural Networks (CNN).

Computational intelligence and neuroscience
Handwritten characters recognition is a challenging research topic. A lot of works have been present to recognize letters of different languages. The availability of Arabic handwritten characters databases is limited. Motivated by this topic of resea...

Abstractive Arabic Text Summarization Based on Deep Learning.

Computational intelligence and neuroscience
Text summarization (TS) is considered one of the most difficult tasks in natural language processing (NLP). It is one of the most important challenges that stand against the modern computer system's capabilities with all its new improvement. Many pap...

Learning to Compose and Reason with Language Tree Structures for Visual Grounding.

IEEE transactions on pattern analysis and machine intelligence
Grounding natural language in images, such as localizing "the black dog on the left of the tree", is one of the core problems in artificial intelligence, as it needs to comprehend the fine-grained language compositions. However, existing solutions me...

CODER: Knowledge-infused cross-lingual medical term embedding for term normalization.

Journal of biomedical informatics
OBJECTIVE: This paper aims to propose knowledge-aware embedding, a critical tool for medical term normalization.

Machine Translation System Using Deep Learning for English to Urdu.

Computational intelligence and neuroscience
Machine translation is an ongoing field of research from the last decades. The main aim of machine translation is to remove the language barrier. Earlier research in this field started with the direct word-to-word replacement of source language by th...

AMMU: A survey of transformer-based biomedical pretrained language models.

Journal of biomedical informatics
Transformer-based pretrained language models (PLMs) have started a new era in modern natural language processing (NLP). These models combine the power of transformers, transfer learning, and self-supervised learning (SSL). Following the success of th...

Composition-driven symptom phrase recognition for Chinese medical consultation corpora.

BMC medical informatics and decision making
BACKGROUND: Symptom phrase recognition is essential to improve the use of unstructured medical consultation corpora for the development of automated question answering systems. A majority of previous works typically require enough manually annotated ...

Intelligent Error Correction of College English Spoken Grammar Based on the GA-MLP-NN Algorithm.

Computational intelligence and neuroscience
With the development of neural networks in deep learning, artificial intelligence machine learning has become the main focus of researchers. In College English grammar detection, oral grammar is the most error rate content. So, this paper optimizes M...

Event parsing and the origins of grammar.

Wiley interdisciplinary reviews. Cognitive science
How did grammar evolve? Perhaps a better way to ask the question is what kind of cognition is needed to enable grammar. The present analysis departs from the observation that linguistic communication is structured in terms of agents and patients, a r...

Using natural language processing to understand people and culture.

The American psychologist
Language can provide important insights into people, and culture more generally. Further, the digitization of information has made more and more textual data available. But by itself, all that data are just that: data. Realizing its potential require...