Deep Multilabel Multilingual Document Learning for Cross-Lingual Document Retrieval [PDF]
Entropy, 2022 Cross-lingual document retrieval, which aims to take a query in one language to retrieve relevant documents in another, has attracted strong research interest in the last decades. Most studies on this task start with cross-lingual comparisons at the word
Kai Feng +5 more
doaj +2 more sources
An Interactive Framework of Cross-Lingual NLU for In-Vehicle Dialogue [PDF]
Sensors, 2023 As globalization accelerates, the linguistic diversity and semantic complexity of in-vehicle communication is increasing. In order to meet the needs of different language speakers, this paper proposes an interactive attention-based contrastive learning ...
Xinlu Li +3 more
doaj +2 more sources
English–Welsh Cross-Lingual Embeddings [PDF]
Applied Sciences, 2021 Cross-lingual embeddings are vector space representations where word translations tend to be co-located. These representations enable learning transfer across languages, thus bridging the gap between data-rich languages such as English and others.
Luis Espinosa-Anke +5 more
doaj +3 more sources
Cross-Lingual Visual Grounding [PDF]
IEEE Access, 2021 Visual grounding is a vision and language understanding task aiming at locating a region in an image according to a specific query phrase. However, most previous studies only address this task for the English language.
Wenjian Dong +4 more
doaj +2 more sources
Unsupervised cross-lingual model transfer for named entity recognition with contextualized word representations. [PDF]
PLoS ONE, 2021 Named entity recognition (NER) is one fundamental task in the natural language processing (NLP) community. Supervised neural network models based on contextualized word representations can achieve highly-competitive performance, which requires a large ...
Huijiong Yan +3 more
doaj +2 more sources
CLAS-Net: A study on cross-lingual intelligent sentiment analysis model fusing semantic alignment. [PDF]
PLoS ONEIn the context of the deep integration of globalization and digitalization, the cross-lingual dissemination of news and public opinion information has become an increasingly significant challenge.
Jia-Qi Wang
doaj +2 more sources
A multimodal approach to cross-lingual sentiment analysis with ensemble of transformer and LLM. [PDF]
Sci RepSentiment analysis is an essential task in natural language processing that involves identifying a text’s polarity, whether it expresses positive, negative, or neutral sentiments.
Miah MSU +5 more
europepmc +2 more sources
A Cross-Lingual Media Profiling Model for Detecting Factuality and Political Bias [PDF]
Applied SciencesMedia profiling offers valuable insights to enhance the objectivity and reliability of news coverage by providing comprehensive analysis, but the diversity in languages posed significant challenges to our identification of factuality and political bias ...
Chichen Lin +5 more
doaj +2 more sources
Predictors of cross-lingual competence in Australian mental health professionals [PDF]
Australian Journal of PsychologyObjective Although spoken language plays a crucial role in psychotherapy with clients whose native language differs from the language of therapy, research on mental health practitioners’ language proficiency remains scarce.
Marta Garcia de Blakely +2 more
doaj +2 more sources
Transinger: Cross-Lingual Singing Voice Synthesis via IPA-Based Phonetic Alignment [PDF]
SensorsAlthough Singing Voice Synthesis (SVS) has revolutionized audio content creation, global linguistic diversity remains challenging. Current SVS research shows scant exploration of cross-lingual generalization, as fragmented, language-specific phoneme ...
Chen Shen +4 more
doaj +2 more sources