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Showing 51–75 of 125 papers

TitleStatusHype
ATOGAN:Adaptive Training Objective Generative Adversarial Network for Cross-lingual Word Alignment in Non-Isomorphic Embedding Spaces—0
Bag-of-Words Forced Decoding for Cross-Lingual Information Retrieval—0
Pre-tokenization of Multi-word Expressions in Cross-lingual Word Embeddings—0
Redistributing Low-Frequency Words: Making the Most of Monolingual Data in Non-Autoregressive Translation—0
Relations between comprehensibility and adequacy errors in machine translation output—0
Semantic Pivots Enable Cross-Lingual Transfer in Large Language Models—0
Sentiment Aware Neural Machine Translation—0
Structural Correspondence Learning for Cross-lingual Sentiment Classification with One-to-many Mappings—0
Symmetrized Robust Procrustes: Constant-Factor Approximation and Exact Recovery—0
System Description of bjtu\_nlp Neural Machine Translation System—0
Tik-to-Tok: Translating Language Models One Token at a Time: An Embedding Initialization Strategy for Efficient Language Adaptation—0
Towards Cross-Cultural Machine Translation with Retrieval-Augmented Generation from Multilingual Knowledge Graphs—0
Towards one-shot learning for rare-word translation with external experts—0
Towards Optimal Transport with Global Invariances—0
Towards Unsupervised Speech-to-Text Translation—0
Training a code-switching language model with monolingual data—0
Trans-gram, Fast Cross-lingual Word-embeddings—0
Translation and cross-cultural adaptation methodology for soundscape attributes – A study with independent translation groups from English to Greek—0
Unsupervised Bilingual Lexicon Induction from Mono-lingual Multimodal Data—0
Universal Language Modelling agent—0
Unsupervised Alignment of Distributional Word Embeddings—0
Unsupervised Hyper-alignment for Multilingual Word Embeddings—0
Unsupervised Hyperalignment for Multilingual Word Embeddings—0
Unsupervised Japanese-Chinese Opinion Word Translation using Dependency Distance and Feature-Opinion Association Weight—0
Unsupervised Word Translation Pairing using Refinement based Point Set Registration—0
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