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1
Improving character-based decoding using target-side morphological information for neural machine translation
In: Passban, Peyman, Liu, Qun orcid:0000-0002-7000-1792 and Way, Andy orcid:0000-0001-5736-5930 (2018) Improving character-based decoding using target-side morphological information for neural machine translation. In: 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. (NAACL 2018), 1-6 June 2018, New Orleans, LA, USA. (2018)
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2
Tailoring neural architectures for translating from morphologically rich languages
In: Passban, Peyman, Way, Andy orcid:0000-0001-5736-5930 and Liu, Qun orcid:0000-0002-7000-1792 (2018) Tailoring neural architectures for translating from morphologically rich languages. In: 27th International Conference on Computational Linguistics, 20-26 Aug 2018, Santa Fe, New Mexico, USA. (2018)
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3
Translating low-resource languages by vocabulary adaptation from close counterparts
In: Passban, Peyman, Lui, Qun orcid:0000-0002-7000-1792 and Way, Andy orcid:0000-0001-5736-5930 (2017) Translating low-resource languages by vocabulary adaptation from close counterparts. ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), 16 (4). pp. 1-14. ISSN 2375-4699 (2017)
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4
Translating low-resource languages by vocabulary adaptation from close counterparts
In: Passban, Peyman, Liu, Qun orcid:0000-0002-7000-1792 and Way, Andy orcid:0000-0001-5736-5930 (2017) Translating low-resource languages by vocabulary adaptation from close counterparts. ACM Transactions on Asian and Low-Resource Language Information Processing, 16 (4). ISSN 2375-4699 (2017)
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5
Providing morphological information for SMT using neural networks
In: Passban, Peyman, Liu, Qun orcid:0000-0002-7000-1792 and Way, Andy orcid:0000-0001-5736-5930 (2017) Providing morphological information for SMT using neural networks. Prague Bulletin of Mathematical Linguistics (108). pp. 271-282. ISSN 1804-0462 (2017)
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6
Machine translation of morphologically rich languages using deep neural networks
Passban, Peyman. - : Dublin City University. School of Computing, 2017. : Dublin City University. ADAPT, 2017
In: Passban, Peyman (2017) Machine translation of morphologically rich languages using deep neural networks. PhD thesis, Dublin City University. (2017)
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7
Providing Morphological Information for SMT Using Neural Networks
In: Prague Bulletin of Mathematical Linguistics , Vol 108, Iss 1, Pp 271-282 (2017) (2017)
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8
Enriching phrase tables for statistical machine translation using mixed embeddings
In: Passban, Peyman, Liu, Qun orcid:0000-0002-7000-1792 and Way, Andy orcid:0000-0001-5736-5930 (2016) Enriching phrase tables for statistical machine translation using mixed embeddings. In: COLING, the 26th International Conference on Computational Linguistics, 13-16 Dec 2016, Osaka, Japan. ISBN 978-4-87974-702-0 (2016)
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9
Benchmarking SMT performance for Farsi using the TEP++ Corpus
In: Passban, Peyman, Way, Andy orcid:0000-0001-5736-5930 and Liu, Qun orcid:0000-0002-7000-1792 (2015) Benchmarking SMT performance for Farsi using the TEP++ Corpus. In: 18th Annual Conference of the European Association for Machine Translation, 11 - 13 May 2015., Antalya, Turkey. (2015)
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