Results 31 to 40 of about 4,624,323 (348)
Not All Languages Are Created Equal in LLMs: Improving Multilingual Capability by Cross-Lingual-Thought Prompting [PDF]
Conference on Empirical Methods in Natural Language Processing, 2023 Large language models (LLMs) demonstrate impressive multilingual capability, but their performance varies substantially across different languages. In this work, we introduce a simple yet effective method, called cross-lingual-thought prompting (XLT), to
Haoyang Huang +6 more
semanticscholar +1 more source
CONCRETE: Improving Cross-lingual Fact-checking with Cross-lingual Retrieval
, 2022 Fact-checking has gained increasing attention due to the widespread of falsified information. Most fact-checking approaches focus on claims made in English only due to the data scarcity issue in other languages. The lack of fact-checking datasets in low-resource languages calls for an effective cross-lingual transfer technique for fact-checking ...
Huang, Kung-Hsiang +2 more
openaire +2 more sources
Cross-Lingual Transfer Learning for POS Tagging without Cross-Lingual Resources [PDF]
Proceedings of the 2017 Conference on Empirical Methods in Natural
Language Processing, 2017 Training a POS tagging model with crosslingual transfer learning usually requires linguistic knowledge and resources about the relation between the source language and the target language. In this paper, we introduce a cross-lingual transfer learning model for POS tagging without ancillary resources such as parallel corpora.
Joo-Kyung Kim +3 more
openaire +1 more source
A robust self-learning method for fully unsupervised cross-lingual mappings of word embeddings [PDF]
Annual Meeting of the Association for Computational Linguistics, 2018 Recent work has managed to learn cross-lingual word embeddings without parallel data by mapping monolingual embeddings to a shared space through adversarial training. However, their evaluation has focused on favorable conditions, using comparable corpora
Mikel Artetxe +2 more
semanticscholar +1 more source
Speak Foreign Languages with Your Own Voice: Cross-Lingual Neural Codec Language Modeling [PDF]
arXiv.org, 2023 We propose a cross-lingual neural codec language model, VALL-E X, for cross-lingual speech synthesis. Specifically, we extend VALL-E and train a multi-lingual conditional codec language model to predict the acoustic token sequences of the target language
Zi-Hua Zhang +12 more
semanticscholar +1 more source
Beto, Bentz, Becas: The Surprising Cross-Lingual Effectiveness of BERT [PDF]
Conference on Empirical Methods in Natural Language Processing, 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 ...
Shijie Wu, Mark Dredze
semanticscholar +1 more source
Journal of Advanced Computing Systems, 2023 This paper addresses the challenge of evaluating cross-lingual Large Language Models (LLMs) for detecting subtle sentiment manipulation in online financial content.
Jiayu Liang +3 more
doaj +1 more source
Cross-Lingual Text Categorization [PDF]
, 2003 This article deals with the problem of Cross-Lingual Text Categorization (CLTC), which arises when documents in different languages must be classified according to the same classification tree. We describe practical and cost-effective solutions for automatic Cross-Lingual Text Categorization, both in case a sufficient number of training examples is ...
Bel Rafecas, Núria +2 more
openaire +2 more sources
Cross-Lingual Content Scoring [PDF]
Proceedings of the Thirteenth Workshop on Innovative Use of NLP for
Building Educational Applications, 2018 We investigate the feasibility of cross-lingual content scoring, a scenario where training and test data in an automatic scoring task are from two different languages. Cross-lingual scoring can contribute to educational equality by allowing answers in multiple languages.
Horbach, Andrea +2 more
openaire +3 more sources
Multilingual Sentiment Analysis for Under-Resourced Languages: A Systematic Review of the Landscape
IEEE Access, 2023 Sentiment analysis automatically evaluates people’s opinions of products or services. It is an emerging research area with promising advancements in high-resource languages such as Indo-European languages (e.g. English).
Koena Ronny Mabokela +2 more
doaj +1 more source