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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 3 of 3 1 Pointer-based Fusion of Bilingual Lexicons into Neural Machine Translation ... Gū, Jetic; Shavarani, Hassan S.; Sarkar, Anoop. - : arXiv, 2019 Abstract: Neural machine translation (NMT) systems require large amounts of high quality in-domain parallel corpora for training. State-of-the-art NMT systems still face challenges related to out-of-vocabulary words and dealing with low-resource language pairs. In this paper, we propose and compare several models for fusion of bilingual lexicons with an end-to-end trained sequence-to-sequence model for machine translation. The result is a fusion model with two information sources for the decoder: a neural conditional language model and a bilingual lexicon. This fusion model learns how to combine both sources of information in order to produce higher quality translation output. Our experiments show that our proposed models work well in relatively low-resource scenarios, and also effectively reduce the parameter size and training cost for NMT without sacrificing performance. ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://dx.doi.org/10.48550/arxiv.1909.07907 https://arxiv.org/abs/1909.07907 BASE Hide details 2 Top-down Tree Structured Decoding with Syntactic Connections for Neural Machine Translation and Parsing ... Gū, Jetic; Shavarani, Hassan S.; Sarkar, Anoop. - : arXiv, 2018 BASE Show details 3 An Easily Extensible HMM Word Aligner Gū Jetic; Bigvand Anahita Mansouri; Sarkar Anoop In: Prague Bulletin of Mathematical Linguistics , Vol 111, Iss 1, Pp 87-96 (2018) (2018) BASE Show details

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