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The Dark Side of the Language: Pre-trained Transformers in the DarkNet ...
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Discontinuous Constituency and BERT: A Case Study of Dutch ...
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Cross-Platform Difference in Facebook and Text Messages Language Use: Illustrated by Depression Diagnosis ...
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Improving Word Translation via Two-Stage Contrastive Learning ...
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nigam@COLIEE-22: Legal Case Retrieval and Entailment using Cascading of Lexical and Semantic-based models ...
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Learning grammar with a divide-and-concur neural network ...
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Self-Supervised Representation Learning for Speech Using Visual Grounding and Masked Language Modeling ...
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Accurate Online Posterior Alignments for Principled Lexically-Constrained Decoding ...
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Abstract:
Online alignment in machine translation refers to the task of aligning a target word to a source word when the target sequence has only been partially decoded. Good online alignments facilitate important applications such as lexically constrained translation where user-defined dictionaries are used to inject lexical constraints into the translation model. We propose a novel posterior alignment technique that is truly online in its execution and superior in terms of alignment error rates compared to existing methods. Our proposed inference technique jointly considers alignment and token probabilities in a principled manner and can be seamlessly integrated within existing constrained beam-search decoding algorithms. On five language pairs, including two distant language pairs, we achieve consistent drop in alignment error rates. When deployed on seven lexically constrained translation tasks, we achieve significant improvements in BLEU specifically around the constrained positions. ... : 15 pages, 2 figures. ACL 2022 ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences; Machine Learning cs.LG
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URL: https://arxiv.org/abs/2204.00871 https://dx.doi.org/10.48550/arxiv.2204.00871
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Introducing Neural Bag of Whole-Words with ColBERTer: Contextualized Late Interactions using Enhanced Reduction ...
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Improving Time Sensitivity for Question Answering over Temporal Knowledge Graphs ...
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HistBERT: A Pre-trained Language Model for Diachronic Lexical Semantic Analysis ...
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Towards Explainable Evaluation Metrics for Natural Language Generation ...
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ASL Video Corpora & Sign Bank: Resources Available through the American Sign Language Linguistic Research Project (ASLLRP) ...
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How do lexical semantics affect translation? An empirical study ...
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How Effective is Incongruity? Implications for Code-mix Sarcasm Detection ...
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Learning Meta Word Embeddings by Unsupervised Weighted Concatenation of Source Embeddings ...
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COLD Decoding: Energy-based Constrained Text Generation with Langevin Dynamics ...
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LaPraDoR: Unsupervised Pretrained Dense Retriever for Zero-Shot Text Retrieval ...
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