Suchergebnisse - "low-resource languages"

Sandarśana: A Survey on Sanskrit Computational Linguistics and Digital Infrastructure for Sanskrit.

Autoren: Pradeep, Anagha Mamidi, Radhika

Quelle: ACM Computing Surveys. Oct2025, Vol. 57 Issue 10, p1-38. 38p.

Schlagwörter: *NATURAL language processing, *ARTIFICIAL neural networks, LOW-resource languages, LONG short-term memory, SANSKRIT language, MACHINE translating, PARSING (Computer grammar)

A Machine Learning Approach of Text Classification for High‐ and Low‐Resource Languages.

Autoren: Raza, Muhammad Owais Mahoto, Naeem Ahmed Shaikh, Asadullah et al.

Quelle: Computational Intelligence. Aug2025, Vol. 41 Issue 4, p1-17. 17p.

Schlagwörter: *DATA analysis, LOW-resource languages, MACHINE learning, ENSEMBLE learning, CLASSIFICATION algorithms, CATEGORIZATION (Linguistics)

A Primer on Pretrained Multilingual Language Models.

Autoren: Doddapaneni, Sumanth Ramesh, Gowtham Khapra, Mitesh et al.

Quelle: ACM Computing Surveys. Sep2025, Vol. 57 Issue 9, p1-39. 39p.

Schlagwörter: *NATURAL language processing, *ARTIFICIAL neural networks, LOW-resource languages, LANGUAGE models, TRANSLATING & interpreting, MACHINE translating, BIPARTITE graphs, WORD problems (Mathematics)

A Survey on Online Aggression: Content Detection and Behavioral Analysis on Social Media.

Autoren: Mane, Swapnil Sanjaykumar Kundu, Suman Sharma, Rajesh

Quelle: ACM Computing Surveys. Jul2025, Vol. 57 Issue 7, p1-36. 36p.

Schlagwörter: *NATURAL language processing, *SCHOLARSHIPS, LOW-resource languages, GENERATIVE artificial intelligence, HOSTILITY, SOCIAL media, DEEP learning

Dataset creation and benchmarking for Kashmiri news snippet classification using fine-tuned transformer and LLM models in a low resource setting.

Autoren: Deyar, Deheem U Ramani, Anirud Gupta, Deepa et al.

Quelle: Scientific Reports. 11/19/2025, Vol. 15 Issue 1, p1-14. 14p.

Schlagwörter: *LOW-resource languages, *NATURAL language processing, *MACHINE learning, *LANGUAGE & languages, *CATEGORIZATION (Linguistics), *TRANSFORMER models, *ACQUISITION of data

A Systematic Evaluation of Large Language Models and Retrieval-Augmented Generation for the Task of Kazakh Question Answering.

Autoren: Mansurova, Aigerim Tleubayeva, Arailym Nugumanova, Aliya et al.

Quelle: Information. Nov2025, Vol. 16 Issue 11, p943. 34p.

Schlagwörter: *LANGUAGE models, *LOW-resource languages, *MACHINE learning, *QUESTION & answer websites, *NATURAL language processing, *BENCHMARK problems (Computer science)

Reference-Less Evaluation of Machine Translation: Navigating Through the Resource-Scarce Scenarios.

Autoren: Sindhujan, Archchana Kanojia, Diptesh Orăsan, Constantin

Quelle: Information. Oct2025, Vol. 16 Issue 10, p916. 25p.

Schlagwörter: *LOW-resource languages, *EVALUATION methodology, *MACHINE translating, *NATURAL language processing, *GENERATIVE artificial intelligence

Unveiling Sentiments: A Deep Dive Into Sentiment Analysis for Low-Resource Languages - A Case Study on Hausa Texts

Autoren: Shehu, Harisu Abdullahi Usman Majikumna, Kaloma Bashir Suleiman, Aminu et al.

Quelle: IEEE Access. 12:98900-98916

Schlagwörter: Bag-of-words, deep learning, Hausa texts, lexicon dictionary, low-resource languages, sentiment analysis, Recurrent neural networks, Bag of words, Case-studies, Convolutional neural network, Deep dives, Hausa text, Low resource languages, Performance

Dateibeschreibung: electronic

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:bth-26807
https://doi.org/10.1109/ACCESS.2024.3427416

Natural Language Processing for Dialects of a Language: A Survey.

Autoren: Joshi, Aditya Dabre, Raj Kanojia, Diptesh et al.

Quelle: ACM Computing Surveys. Jun2025, Vol. 57 Issue 6, p1-37. 37p.

Schlagwörter: *NATURAL language processing, *AUTOMATIC speech recognition, LOW-resource languages, LANGUAGE models, VARIATION in language, LANGUAGE research, MACHINE translating, ETHNICITY

Recent Advances of Foundation Language Models-based Continual Learning: A Survey.

Autoren: Yang, Yutao Zhou, Jie Ding, Xuanwen et al.

Quelle: ACM Computing Surveys. May2025, Vol. 57 Issue 5, p1-38. 38p.

Schlagwörter: *ARTIFICIAL intelligence, *AUTOMATIC speech recognition, LOW-resource languages, LANGUAGE models, MACHINE learning, DEEP learning, CHATBOTS

A simple contrastive embedding framework for low-resource fake news detection.

Autoren: Ni'mah, Iftitahu Wijayanti, Rini Santosa, Agung et al.

Quelle: Neural Computing & Applications. Sep2025, Vol. 37 Issue 26, p21407-21433. 27p.

Schlagwörter: *LOW-resource languages, *ENSEMBLE learning, *APPLIED sciences, *MISINFORMATION, *MACHINE learning

Empowering Weak Languages Through Cross-Language Hyperlink Recommendation.

Autoren: Nguyen, Nhu Takeda, Hideaki Karunathilake, Lakshan

Quelle: Information. Sep2025, Vol. 16 Issue 9, p749. 18p.

Schlagwörter: *LOW-resource languages, *DIGITAL inclusion, *CULTURAL identity, *RECOMMENDER systems, *CORPORA

Reviews & Products: WIKIPEDIA

Symmetric Affix–Context Co-Attention: A Dual-Gating Framework for Robust POS Tagging in Low-Resource MRLs.

Autoren: Qi, Yuan Ali, Samat Murat, Alim

Quelle: Symmetry (20738994). Sep2025, Vol. 17 Issue 9, p1561. 24p.

Schlagwörter: *LOW-resource languages, *MORPHOLOGY (Grammar), *PARSING (Grammar), *TRANSFORMER models, *SUFFIXES & prefixes (Grammar)

Myanmar XNLI: building a dataset and exploring low-resource approaches to natural language inference with Myanmar.

Autoren: Htet, Aung Kyaw Dras, Mark

Quelle: Language Resources & Evaluation. Sep2025, Vol. 59 Issue 3, p3267-3310. 44p.

Schlagwörter: *LOW-resource languages, *DATA augmentation, *ACQUISITION of data, *CITIZEN science, *NATURAL languages, *NATURAL language processing, *LANGUAGE models

Geografische Kategorien: MYANMAR

Benchmarking Hindi-to-English direct speech-to-speech translation with synthetic data.

Autoren: Gupta, Mahendra Dutta, Maitreyee Maurya, Chandresh Kumar

Quelle: Language Resources & Evaluation. Sep2025, Vol. 59 Issue 3, p2613-2651. 39p.

Schlagwörter: *HINDI language, *LOW-resource languages, *CORPORA, *ORAL communication, *TRANSFORMER models, *TRANSLATING & interpreting

Towards neural named entity recognition system in Tigrinya with large-scale dataset.

Autoren: Berhane, Sham K. Beyene, Simon M. Teklit, Yoel G. et al.

Quelle: Language Resources & Evaluation. Sep2025, Vol. 59 Issue 3, p3311-3339. 29p.

Schlagwörter: *NATURAL language processing, *LOW-resource languages, *DATA mining, *MORPHOLOGY (Grammar), *ARTIFICIAL neural networks, *TRANSFORMER models, *CORPORA

Sentiment analysis in low-resource contexts: BERT's impact on Central Kurdish.

Autoren: Awlla, Kozhin Muhealddin Veisi, Hadi Abdullah, Abdulhady Abas

Quelle: Language Resources & Evaluation. Sep2025, Vol. 59 Issue 3, p2213-2243. 31p.

Schlagwörter: *SENTIMENT analysis, *LOW-resource languages, *KURDS, *ARTIFICIAL neural networks, *NATURAL language processing, *LANGUAGE models

An integrated framework for emotion and sentiment analysis in Tamil and Malayalam visual content.

Autoren: Prakash, V. Jothi Vijay, S. Arul Antran

Quelle: Language Resources & Evaluation. Sep2025, Vol. 59 Issue 3, p2103-2141. 39p.

Schlagwörter: *SENTIMENT analysis, *LOW-resource languages, *TAMIL (Indic people), *MULTIMODAL user interfaces, *EMOTION recognition, *FEATURE extraction, *MALAY language, *CULTURAL adaptation

Evaluation of the morphological rules for the Tenyidie language: a low-resource language.

Autoren: Angami, Teisovi Kevichüsa-Ezung, Mimi Singh, Sanasam Ranbir et al.

Quelle: Language Resources & Evaluation. Sep2025, Vol. 59 Issue 3, p3189-3214. 26p.

Schlagwörter: *LOW-resource languages, *NATURAL language processing, *LANGUAGE & languages, *MORPHOLOGY (Grammar), *POLYSYNTHETIC languages

Geografische Kategorien: INDIA, NAGALAND (India)

Back-translation effects on static and contextual word embeddings for topic classification embedding in classification tasks.

Autoren: Držík, Dávid Kelebercová, Lívia

Quelle: PLoS ONE. 8/29/2025, Vol. 20 Issue 8, p1-22. 22p.

Schlagwörter: *CLASSIFICATION, *LOW-resource languages, *DATA augmentation, *LANGUAGE models