Results 11 to 20 of about 138,423 (180)
Zero-shot cross-lingual transfer language selection using linguistic similarity
Information Processing & Management, 2023 We study the selection of transfer languages for different Natural Language Processing tasks, specifically sentiment analysis, named entity recognition and dependency parsing. In order to select an optimal transfer language, we propose to utilize different linguistic similarity metrics to measure the distance between languages and make the choice of ...
Juuso Eronen +2 more
openaire +2 more sources
Zero-Shot Cross-Lingual Transfer with Meta Learning
, 2020 Learning what to share between tasks has been a topic of great importance recently, as strategic sharing of knowledge has been shown to improve downstream task performance.
Augenstein, Isabelle +3 more
core +1 more source
British Educational Research Journal, EarlyView., 2023 Abstract Children's relationship with time in preschools is an under‐researched area. Young children rarely know how to measure time using a clock, but their experiences of time may contribute to understanding children's well‐being and debates about quality in preschools.
Kristín Dýrfjörð +3 more
wiley +1 more source
An Empirical Analysis of NMT-Derived Interlingual Embeddings and their Use in Parallel Sentence Identification [PDF]
, 2017 End-to-end neural machine translation has overtaken statistical machine translation in terms of translation quality for some language pairs, specially those with large amounts of parallel data.
Barrón-Cedeño, Alberto +3 more
core +2 more sources
Ergativity and depth of analysis [PDF]
, 2019 In this paper, I argue that “depth of analysis” does not deserve the prestige that it is sometimes given in general linguistics. While language description should certainly be as detailed as possible, general linguistics must rely on worldwide comparison
Haspelmath, M.
core +3 more sources
Zero-shot Generative Linguistic Steganography
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)Generative linguistic steganography attempts to hide secret messages into covertext. Previous studies have generally focused on the statistical differences between the covertext and stegotext, however, ill-formed stegotext can readily be identified by humans.
Ke Lin 0003 +3 more
openaire +2 more sources
Choosing Transfer Languages for Cross-Lingual Learning
, 2019 Cross-lingual transfer, where a high-resource transfer language is used to improve the accuracy of a low-resource task language, is now an invaluable tool for improving performance of natural language processing (NLP) on low-resource languages.
Anastasopoulos, Antonios +12 more
core +1 more source
Beto, Bentz, Becas: The Surprising Cross-Lingual Effectiveness of BERT
, 2019 Pretrained contextual representation models (Peters et al., 2018; Devlin et al., 2018) have pushed forward the state-of-the-art on many NLP tasks. A new release of BERT (Devlin, 2018) includes a model simultaneously pretrained on 104 languages with ...
Dredze, Mark, Wu, Shijie
core +1 more source
Compact Personalized Models for Neural Machine Translation
, 2018 We propose and compare methods for gradient-based domain adaptation of self-attentive neural machine translation models. We demonstrate that a large proportion of model parameters can be frozen during adaptation with minimal or no reduction in ...
DeNero, John +2 more
core +1 more source
Few-shot classification in Named Entity Recognition Task
, 2018 For many natural language processing (NLP) tasks the amount of annotated data is limited. This urges a need to apply semi-supervised learning techniques, such as transfer learning or meta-learning.
Akhundov Adnan +5 more
core +1 more source