Threatening Language Detection and Target Identification in Urdu Tweets
IEEE Access, 2021 Automatic detection of threatening language is an important task, however, most of the existing studies focused on English as the target language, with limited work on low-resource languages.
Maaz Amjad +5 more
semanticscholar +3 more sources
The real value of words: how target language linguistic modelling of foreign language teaching content shapes students' professional identity. [PDF]
Heliyon, 2021 Bagiyan AY +3 more
europepmc +2 more sources
A Joint Modeling of Vision-Language-Action for Target-oriented Grasping in Clutter [PDF]
IEEE International Conference on Robotics and Automation, 2023 We focus on the task of language-conditioned grasping in clutter, in which a robot is supposed to grasp the target object based on a language instruction.
Kechun Xu +7 more
semanticscholar +1 more source
Efficient Self-supervised Learning with Contextualized Target Representations for Vision, Speech and Language [PDF]
International Conference on Machine Learning, 2022 Current self-supervised learning algorithms are often modality-specific and require large amounts of computational resources. To address these issues, we increase the training efficiency of data2vec, a learning objective that generalizes across several ...
Alexei Baevski +3 more
semanticscholar +1 more source
Evaluating Object Hallucination in Large Vision-Language Models [PDF]
Conference on Empirical Methods in Natural Language Processing, 2023 Inspired by the superior language abilities of large language models (LLM), large vision-language models (LVLM) have been recently explored by integrating powerful LLMs for improving the performance on complex multimodal tasks.
Yifan Li +5 more
semanticscholar +1 more source
Methodology of the contemporary Quranic translation into Persian [PDF]
دراسات في اللغة العربيّة وآدابها, 2012 The task of Quran translation established with the rise of Islam and the eagerness of non-Arab muslims to access the Quranic teaching. Iranians were the first to translate the revealed words.
Jalal Marami, Mahdi Naseri
doaj +1 more source
Predicting Target Language CCG Supertags Improves Neural Machine Translation [PDF]
Conference on Machine Translation, 2017 Neural machine translation (NMT) models are able to partially learn syntactic information from sequential lexical information. Still, some complex syntactic phenomena such as prepositional phrase attachment are poorly modeled.
Maria Nadejde +6 more
semanticscholar +1 more source
Mixed method in language teaching: Concepts and model’s evaluation [PDF]
Training, Language and Culture, 2021 In the present research, the authors have studied direct and indirect cross-cultural contact as well as motivated behaviour and language attitude in a study-abroad context in Russia.
Alla G. Sokolova, Tatiana A. Bystrova
doaj +1 more source
Meteor Universal: Language Specific Translation Evaluation for Any Target Language
WMT@ACL, 2014 This paper describes Meteor Universal, released for the 2014 ACL Workshop on Statistical Machine Translation. Meteor Universal brings language specific evaluation to previously unsupported target languages by (1) automatically extracting linguistic ...
Michael J. Denkowski, A. Lavie
semanticscholar +1 more source
Problem Solving of Non-equivalence Problems in English Into Indonesian Text [PDF]
, 2016 In the process of transferring one message of Source Language (SL) to Target Language (TL) in a translation must be careful by a translator, because one word may have more than one meaning.
Ninsiana, W. (Widhiya)
core +2 more sources