A Systematic Analysis of Various Word Sense Disambiguation Approaches by Chandra Ganesh, Sanjay K. Dwivedi, Satya Bhushan Verma, Manish Dixit

“…This paper also describes the various applications of WSD, such as information retrieval, machine translation, speech recognition, computational advertising, text processing, classification of documents and biometrics.…”
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Graph Convolutional Network for Word Sense Disambiguation by Chun-Xiang Zhang, Rui Liu, Xue-Yao Gao, Bo Yu

“…Word sense disambiguation (WSD) is an important research topic in natural language processing, which is widely applied to text classification, machine translation, and information retrieval. In order to improve disambiguation accuracy, this paper proposes a WSD method based on the graph convolutional network (GCN). …”
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Exploring the Performance of Tagging for the Classical and the Modern Standard Arabic by Dia AbuZeina, Taqieddin Mostafa Abdalbaset

“…In fact, the PoS taggers contribute as a preprocessing step in various NLP tasks, such as syntactic parsing, information extraction, machine translation, and speech synthesis. In this paper, we examine the performance of a modern standard Arabic (MSA) based tagger for the classical (i.e., traditional or historical) Arabic. …”
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Semisupervised Learning-Based Word-Sense Disambiguation Using Word Embedding for Afaan Oromoo Language by Tabor Wegi Geleta, Jara Muda Haro

“…Finding context meaning is challenging the activity of automatically identifying machine translation, indexing engines, and predicting neighbor words in natural language. …”
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T-LLaMA: a Tibetan large language model based on LLaMA2 by Hui Lv, Chi Pu, La Duo, Yan Li, Qingguo Zhou, Jun Shen

“…Abstract The advent of ChatGPT and GPT-4 has generated substantial interest in large language model (LLM) research, showcasing remarkable performance in various applications such as conversation systems, machine translation, and research paper summarization. However, their efficacy diminishes when applied to low-resource languages, particularly in academic research contexts like Tibetan. …”
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Tibetan–Chinese speech-to-speech translation based on discrete units by Zairan Gong, Xiaona Xu, Yue Zhao

“…Abstract Speech-to-speech translation (S2ST) has evolved from cascade systems which integrate Automatic Speech Recognition (ASR), Machine Translation (MT), and Text-to-Speech (TTS), to end-to-end models. …”
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Poetic and theatrical occasionalisms: Creation of new morphologically complex words by Joseph von Eichendorff, Johann Nepomuk Nestroy, Peter Handke and Arno Schmidt by Wolfgang U. Dressler, Barbara Tumfart, Dietmar Kunisch, Vanessa Hannesschläger

“…We urge that theatre productions should highlight occasionalisms and report that Nestroy’s German occasionalisms are generally better translated into English by programs of machine translation then by human translators. …”
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Morphologically-analyzed and syntactically-annotated Quran datasetMendeley Data by Majdi Sawalha, Faisal Al-Shargi, Sane Yagi, Abdallah T. AlShdaifat, Bassam Hammo, Mariam Belajeed, Lubna R. Al-Ogaili

“…This dataset is particularly valuable for tasks such as dependency parsing, grammar checking, machine translation, and text summarization. The potential applications of MASAQ are vast, ranging from pedagogical uses in teaching Arabic grammar to developing sophisticated NLP tools. …”
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A Hybrid Contextual Embedding and Hierarchical Attention for Improving the Performance of Word Sense Disambiguation by Robbel Habtamu Yigzaw, Beakal Gizachew Assefa, Elefelious Getachew Belay

“…It plays a crucial role in natural language applications such as machine translation, question-answering, chatbots, information retrieval, sentiment analysis, and overall language comprehension. …”
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MT Evaluation in the Context of Language Complexity by Dasa Munkova, Michal Munk, null Ľubomír Benko, Jiri Stastny

“…The paper focuses on investigating the impact of artificial agent (machine translator) on human agent (posteditor) using a proposed methodology, which is based on language complexity measures, POS tags, frequent tagsets, association rules, and their summarization. …”
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RELEVANCE AND LINGUISTIC ACCURACY OF THE INFORMATION PROVIDED ON WEBSITES by Neringa Lekandrė, Gemma Navickienė

“…Some texts seem to have been machine-translated. Therefore, an assumption can be made that companies are reluctant to pay language service providers to create the content of their websites, and the internal human resources managing the websites are not aware of the requirements to be followed to maintain the relevance and linguistic accuracy of the information to be provided in several languages in case the company operates internationally. …”
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Peningkatan Akurasi Mesin Penerjemah Bahasa Inggris - Indonesia dengan Memaksimalkan Kualitas dan Kuantitas Korpus Paralel by Herry Sujaini

“…Abstract The parallel corpus has a very important role in the statistical machine translator (SMT) system. The parallel corpus obtained by various sources usually has poor quality, while the quantity of parallel corpus is the main demand for good translation results. …”
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