Covert Co-Activation of Bilinguals' Non-Target Language: Phonological Competition from Translations. [PDF]
Linguist Approaches Biling, 2019 Shook A, Marian V.
europepmc +2 more sources
Second Language Learners' Divergence from Target Language Pragmatic Norms.
Studies in Second Language Learning and Teaching, 2016 Pragmatic competence is an indispensable aspect of language ability in order for second and foreign language (L2/FL) learners to understand and be understood in their interactions with both native and nonnative speakers of the target language.
M. Gomez-Laich
semanticscholar +4 more sources
Cross-Lingual Transfer with Target Language-Ready Task Adapters [PDF]
Annual Meeting of the Association for Computational Linguistics, 2023 Adapters have emerged as a modular and parameter-efficient approach to (zero-shot) cross-lingual transfer. The established MAD-X framework employs separate language and task adapters which can be arbitrarily combined to perform the transfer of any task ...
Marinela Parovi'c +3 more
semanticscholar +1 more source
TRANSLATION, MULTIMODALITY AND HORROR FICTION [PDF]
Вісник університету ім. А. Нобеля. Серія Філологічні науки, 2023 The paper outlines a framework for approaching the complexities of translating multimodal means in horror fiction. Nowadays, the horror genre is reaching its peak, becoming the most remarkable mass product in demand.
Kateryna P. Nykytchenko +1 more
doaj +1 more source
Aligning Source Visual and Target Language Domains for Unpaired Video Captioning [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021 Training supervised video captioning model requires coupled video-caption pairs. However, for many targeted languages, sufficient paired data are not available.
Fenglin Liu +5 more
semanticscholar +1 more source
Single-/Multi-Source Cross-Lingual NER via Teacher-Student Learning on Unlabeled Data in Target Language [PDF]
Annual Meeting of the Association for Computational Linguistics, 2020 To better tackle the named entity recognition (NER) problem on languages with little/no labeled data, cross-lingual NER must effectively leverage knowledge learned from source languages with rich labeled data.
Qianhui Wu +4 more
semanticscholar +1 more source
L3MVN: Leveraging Large Language Models for Visual Target Navigation [PDF]
IEEE/RJS International Conference on Intelligent RObots and Systems, 2023 Visual target navigation in unknown environments is a crucial problem in robotics. Despite extensive investigation of classical and learning-based approaches in the past, robots lack common-sense knowledge about household objects and layouts. Prior state-
Bangguo Yu, H. Kasaei, M. Cao
semanticscholar +1 more source
Prompting and Evaluating Large Language Models for Proactive Dialogues: Clarification, Target-guided, and Non-collaboration [PDF]
Conference on Empirical Methods in Natural Language Processing, 2023 Conversational systems based on Large Language Models (LLMs), such as ChatGPT, show exceptional proficiency in context understanding and response generation.
Yang Deng +3 more
semanticscholar +1 more source
The problem of interference and its influence of learners native language [PDF]
Trakia Journal of Sciences, 2017 This scientific article focuses on the problem of first language interference in the process of learning English as a second language. While observing the both process of teaching and learning English as a second language, we notice the influence of ...
K. Jafarova
doaj +1 more source
Developing football language in Yorùbá
Inkanyiso, 2020 Football is a global sport; almost all cultures have catalogues of terms devised to designate its concepts. This study, which is a part of an on-going project by this researcher to develop “A metalanguage for football terms in Yorùbá” (one of the three ...
Olusanya E. Komolafe
doaj +1 more source