Results 11 to 20 of about 11,721,288 (336)
Language Comparison via Network Topology [PDF]
International Conference on Statistical Language and Speech Processing, 2019 Modeling relations between languages can offer understanding of language characteristics and uncover similarities and differences between languages. Automated methods applied to large textual corpora can be seen as opportunities for novel statistical studies of language development over time, as well as for improving cross-lingual natural language ...
Blaz Skrlj, Senja Pollak
openaire +4 more sources
Embedding as a Tool for Language Comparison
Information and Computation, 1994 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Frank S. de Boer, Catuscia Palamidessi
openaire +2 more sources
Curating and extending data for language comparison in Concepticon and NoRaRe. [PDF]
Open Res Eur, 2022 Language comparison requires user-friendly tools that facilitate the standardization of linguistic data. We present two resources built on the basis of a standardized cross-linguistic format and show how the data is curated and extended.
Tjuka A, Forkel R, List JM.
europepmc +2 more sources
Determinants of translation ambiguity: A within and cross-language comparison. [PDF]
Linguist Approaches Biling, 2016 Degani T +4 more
europepmc +2 more sources
Membership Inference Attacks against Language Models via Neighbourhood Comparison [PDF]
Annual Meeting of the Association for Computational Linguistics, 2023 Membership Inference attacks (MIAs) aim to predict whether a data sample was present in the training data of a machine learning model or not, and are widely used for assessing the privacy risks of language models.
Justus Mattern +5 more
semanticscholar +1 more source
TIM: Teaching Large Language Models to Translate with Comparison [PDF]
AAAI Conference on Artificial Intelligence, 2023 Open-sourced large language models (LLMs) have demonstrated remarkable efficacy in various tasks with instruction tuning. However, these models can sometimes struggle with tasks that require more specialized knowledge such as translation.
Jiali Zeng +3 more
semanticscholar +1 more source
SCROLLS: Standardized CompaRison Over Long Language Sequences [PDF]
Conference on Empirical Methods in Natural Language Processing, 2022 NLP benchmarks have largely focused on short texts, such as sentences and paragraphs, even though long texts comprise a considerable amount of natural language in the wild. We introduce SCROLLS, a suite of tasks that require reasoning over long texts. We
Uri Shaham +10 more
semanticscholar +1 more source
A fine-grained comparison of pragmatic language understanding in humans and language models [PDF]
Annual Meeting of the Association for Computational Linguistics, 2022 Pragmatics and non-literal language understanding are essential to human communication, and present a long-standing challenge for artificial language models. We perform a fine-grained comparison of language models and humans on seven pragmatic phenomena,
Jennifer Hu +4 more
semanticscholar +1 more source
How Close is ChatGPT to Human Experts? Comparison Corpus, Evaluation, and Detection [PDF]
arXiv.org, 2023 The introduction of ChatGPT has garnered widespread attention in both academic and industrial communities. ChatGPT is able to respond effectively to a wide range of human questions, providing fluent and comprehensive answers that significantly surpass ...
Biyang Guo +7 more
semanticscholar +1 more source
JAMA Network Open, 2023 Key Points Question How does ophthalmology advice generated by a large language model chatbot compare with advice written by ophthalmologists? Findings In this cross-sectional study of responses to 200 eye care questions from an online advice forum, a ...
Isaac A. Bernstein +12 more
semanticscholar +1 more source