Auto-DSM: Using a Large Language Model to generate a Design Structure Matrix by Edwin C.Y. Koh

“…Natural Language Processing Journal…”
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Novel application of deep learning to evaluate conversations from a mental health text support service by Daniel Cahn, Sarah Yeoh, Lakshya Soni, Ariele Noble, Mark A. Ungless, Emma Lawrance, Ovidiu Şerban

“…Natural Language Processing Journal…”
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A transformer based multi task learning approach to multimodal hate speech detection by Prashant Kapil, Asif Ekbal

“…Natural Language Processing Journal…”
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Detecting cognitive engagement in online course forums: A review of frameworks and methodologies by Nazmus Sakeef, M. Ali Akber Dewan, Fuhua Lin, Dharamjit Parmar

“…Natural Language Processing Journal…”
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Lexical, sentiment and correlation analysis of sacred writings. A tale of cultural influxes and different ways to interpret reality by Alonso Felipe-Ruiz

“…Natural Language Processing Journal…”
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Unsupervised Chunking Based on Graph Propagation from Bilingual Corpus by Ling Zhu, Derek F. Wong, Lidia S. Chao

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A Relationship: Word Alignment, Phrase Table, and Translation Quality by Liang Tian, Derek F. Wong, Lidia S. Chao, Francisco Oliveira

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A survey on the state-of-the-art machine learning models in the context of NLP by Wahab Khan, Ali Daud, Jamal A. Nasir, Tehmina Amjad

“… Machine learning and Statistical techniques are powerful analysis tools yet to be incorporated in the new multidisciplinaryfield diversely termed as natural language processing (NLP) or computational linguistic. The linguistic knowledge may be ambiguous or contains ambiguity; therefore, various NLP tasks are carried out in order to resolve the ambiguity in speech and language processing.The current prevailing techniques for addressing various NLP tasks as a supervised learning are hidden Markov models (HMM), conditional random field (CRF), maximum entropy models (MaxEnt), support vector machines (SVM), Nave Bays, and deep learning (DL).The goal of this survey paper is to highlight ambiguity in speech and language processing, to provide brief overview of basic categories of linguistic knowledge, to discuss different existing machine learning models and their classification into different categories and finally to provide a comprehensive review of different state of the art machine learning models with the goal that new researchers look into these techniques and depending on these, develops advance techniques. …”
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Fine-Tuning QurSim on Monolingual and Multilingual Models for Semantic Search by Tania Afzal, Sadaf Abdul Rauf, Muhammad Ghulam Abbas Malik, Muhammad Imran

“…Transformers have made a significant breakthrough in natural language processing. These models are trained on large datasets and can handle multiple tasks. …”
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English Vocabulary Learning Aid System Using Digital Twin Wasserstein Generative Adversarial Network Optimized With Jelly Fish Optimization Algorithm by Fei Wu

“…Natural Language Processing (NLP) is a technology that permits computers to recognize human languages. …”
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SARS-CoV-2 Detection From Voice by Gadi Pinkas, Yarden Karny, Aviad Malachi, Galia Barkai, Gideon Bachar, Vered Aharonson

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Parameterization of the Differences in Neural Oscillations Recorded by Wearable Magnetoencephalography for Chinese Semantic Cognition by Xiaoyu Liang, Huanqi Wu, Yuyu Ma, Changzeng Liu, Xiaolin Ning

“…Neural oscillations observed during semantic processing embody the function of brain language processing. Precise parameterization of the differences in these oscillations across various semantics from a time–frequency perspective is pivotal for elucidating the mechanisms of brain language processing. …”
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Investigating translation for Indic languages with BLOOMZ-3b through prompting and LoRA fine-tuning by Aarathi Rajagopalan Nair, Deepa Gupta, B. Premjith

“…Abstract In the domain of natural language processing, the rise of Large Language Models and Generative AI represents a noteworthy transition, enabling machines to understand and generate text resembling that produced by humans. …”
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Navigating the Transformative Impact of Artificial Intelligence in Health Services Research by Guosong Wu, Fengjuan Yang

“…The benefits of AI in image processing and language processing have been substantial, resulting in positive impacts on healthcare practices. …”
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Klasifikasi Kelas Kata (Part-Of-Speech Tagging) untuk Bahasa Madura Menggunakan Algoritme Viterbi by Ilham Firmansyah, Putra Pandu Adikara, Sigit Adinugroho

“…Banyak teknologi/aplikasi yang mengolah bahasa manusia, bidang tersebut bernama Natural Language Processing yang merupakan ilmu yang mempelajari untuk mengolah dan mengekstraksi bahasa manusia pada perkembangan teknologi. …”
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Survey of text classification methods based on deep learning by Sijia DU, Haining YU, Hongli ZHANG

“…Text classification is a research hot spot in the field of natural language processing,which is mainly used in public opinion detection,news classification and other fields.In recent years,artificial neural networks has good performance in many tasks of natural language processing,the application of neural network technology to text classification has also made many achievements.In the field of text classification based on deep learning,numerical representation of text and deep-learning-based text classification are two main research directions.The important technology of word embedding in text representation and the implementation principle and research status of deep learning method applied in text classification were systematically analyzed and summarized.And the shortcomings and the development trend of text classification methods in view of the current technology development were analyzed.…”
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Temporal stability of semantic predictions in subclinical autistic and schizotypal personality traits by Elisabeth F. Sterner, Andrea Greve, Franziska Knolle

“…Abstract Language impairments are core symptoms of both schizophrenia and autism spectrum disorders and have been linked to deficits in predictive language processing. While altered use of semantic predictions have been reported in both conditions, little is known whether semantic predictions are stable over time. …”
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Improving Transformer-Based Neural Machine Translation with Prior Alignments by Thien Nguyen, Lam Nguyen, Phuoc Tran, Huu Nguyen

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Not primed to agree? Short or no effect of rhythmic priming on typical adults processing number agreement by Dávid György, Douglas Saddy, Sonja A. Kotz, Julie Franck

“…One potentially shared system between musical rhythm and language processing may be responsible for the construction of hierarchical sequences. …”
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Intelligent System to Transformer Slang Words into Formal Words by Ahmed Abdulstar Ibrahim, Ban Shareef Mustafa

“…Developing natural language processing models that consider informal words and local dialects is crucial for future research. …”
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