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ORCIDShahram Khadivi
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2020 – today
- 2024
[i25]Christian Herold, Michael Kozielski, Leonid Ekimov, Pavel Petrushkov, Pierre-Yves Vandenbussche, Shahram Khadivi:
LiLiuM: eBay's Large Language Models for e-commerce. CoRR abs/2406.12023 (2024)- [i24]Baohao Liao, Christian Herold, Shahram Khadivi, Christof Monz:
IKUN for WMT24 General MT Task: LLMs Are here for Multilingual Machine Translation. CoRR abs/2408.11512 (2024) - 2023
- [j11]Mohammad Mahdi Mahsuli
, Shahram Khadivi, Mohammad Mehdi Homayounpour:
LenM: Improving Low-Resource Neural Machine Translation Using Target Length Modeling. Neural Process. Lett. 55(7): 9435-9466 (2023) - [c51]Iñigo Urteaga, Moulay-Zaïdane Draïdia, Tomer Lancewicki, Shahram Khadivi:
Multi-armed bandits for resource efficient, online optimization of language model pre-training: the use case of dynamic masking. ACL (Findings) 2023: 10609-10627 - [c50]Yu Yu, Abdul Rafae Khan, Shahram Khadivi, Jia Xu:
Probabilistic Robustness for Data Filtering. EACL 2023: 2942-2951 - [c49]Samitha Herath, Basura Fernando, Ehsan Abbasnejad, Munawar Hayat, Shahram Khadivi, Mehrtash Harandi, Hamid Rezatofighi, Gholamreza Haffari:
Energy-based Self-Training and Normalization for Unsupervised Domain Adaptation. ICCV 2023: 11619-11628 - [c48]Frithjof Petrick, Christian Herold, Pavel Petrushkov, Shahram Khadivi, Hermann Ney:
Document-Level Language Models for Machine Translation. WMT 2023: 375-391 - [i23]Thuy-Trang Vu, Shahram Khadivi, Dinh Q. Phung, Gholamreza Haffari:
Active Continual Learning: Labelling Queries in a Sequence of Tasks. CoRR abs/2305.03923 (2023) - [i22]Frithjof Petrick, Christian Herold, Pavel Petrushkov, Shahram Khadivi, Hermann Ney:
Document-Level Language Models for Machine Translation. CoRR abs/2310.12303 (2023) - [i21]Baohao Liao, Michael Kozielski, Sanjika Hewavitharana, Jiangbo Yuan, Shahram Khadivi, Tomer Lancewicki:
ITEm: Unsupervised Image-Text Embedding Learning for eCommerce. CoRR abs/2311.02084 (2023) - 2022
- [c47]Thuy-Trang Vu, Shahram Khadivi, Dinh Q. Phung, Gholamreza Haffari:
Domain Generalisation of NMT: Fusing Adapters with Leave-One-Domain-Out Training. ACL (Findings) 2022: 582-588 - [c46]Yu Yu, Shahram Khadivi, Jia Xu:
Can Data Diversity Enhance Learning Generalization? COLING 2022: 4933-4945 - [c45]Mohaddeseh Bastan, Shahram Khadivi:
A Preordered RNN Layer Boosts Neural Machine Translation in Low Resource Settings. LoResMT@COLING 2022: 93-98 - [c44]Thuy-Trang Vu, Shahram Khadivi, Xuanli He, Dinh Phung, Gholamreza Haffari:
Can Domains Be Transferred across Languages in Multi-Domain Multilingual Neural Machine Translation? WMT 2022: 381-396 - [i20]Iñigo Urteaga, Moulay-Zaïdane Draïdia, Tomer Lancewicki, Shahram Khadivi:
Multi-armed bandits for online optimization of language model pre-training: the use case of dynamic masking. CoRR abs/2203.13151 (2022) - [i19]Thuy-Trang Vu, Shahram Khadivi, Xuanli He, Dinh Q. Phung, Gholamreza Haffari:
Can Domains Be Transferred Across Languages in Multi-Domain Multilingual Neural Machine Translation? CoRR abs/2210.11628 (2022) - 2021
- [c43]Evgeniia Tokarchuk, Jan Rosendahl, Weiyue Wang, Pavel Petrushkov, Tomer Lancewicki, Shahram Khadivi, Hermann Ney:
Integrated Training for Sequence-to-Sequence Models Using Non-Autoregressive Transformer. IWSLT 2021: 276-286 - [c42]Baohao Liao, Shahram Khadivi, Sanjika Hewavitharana:
Back-translation for Large-Scale Multilingual Machine Translation. WMT@EMNLP 2021: 418-424 - [i18]Baohao Liao, Shahram Khadivi, Sanjika Hewavitharana:
Back-translation for Large-Scale Multilingual Machine Translation. CoRR abs/2109.08712 (2021) - [i17]Evgeniia Tokarchuk, Jan Rosendahl, Weiyue Wang, Pavel Petrushkov, Tomer Lancewicki, Shahram Khadivi, Hermann Ney:
Integrated Training for Sequence-to-Sequence Models Using Non-Autoregressive Transformer. CoRR abs/2109.12950 (2021) - [i16]Evgeniia Tokarchuk, Jan Rosendahl, Weiyue Wang, Pavel Petrushkov, Tomer Lancewicki, Shahram Khadivi, Hermann Ney:
Towards Reinforcement Learning for Pivot-based Neural Machine Translation with Non-autoregressive Transformer. CoRR abs/2109.13097 (2021) - [i15]Mohaddeseh Bastan, Shahram Khadivi:
A Preordered RNN Layer Boosts Neural Machine Translation in Low Resource Settings. CoRR abs/2112.13960 (2021) - 2020
- [j10]Hamed Ganji, Mohammad Mehdi Ebadzadeh, Shahram Khadivi:
Kernel compositional embedding and its application in linguistic structured data classification. Knowl. Based Syst. 194: 105553 (2020) - [j9]Somayeh Bakhshaei, Reza Safabakhsh, Shahram Khadivi:
Matching Graph, a Method for Extracting Parallel Information from Comparable Corpora. ACM Trans. Asian Low Resour. Lang. Inf. Process. 19(1): 11:1-11:29 (2020) - [c41]Jingjing Huo, Christian Herold, Yingbo Gao, Leonard Dahlmann, Shahram Khadivi, Hermann Ney:
Diving Deep into Context-Aware Neural Machine Translation. WMT@EMNLP 2020: 604-616 - [i14]Jingjing Huo, Christian Herold, Yingbo Gao, Leonard Dahlmann, Shahram Khadivi, Hermann Ney:
Diving Deep into Context-Aware Neural Machine Translation. CoRR abs/2010.09482 (2020)
2010 – 2019
- 2019
- [j8]Somayeh Bakhshaei, Reza Safabakhsh, Shahram Khadivi:
Extracting parallel fragments from comparable documents using a generative model. Comput. Speech Lang. 53: 25-42 (2019) - [j7]Hamed Ganji, Shahram Khadivi, Mohammad Mehdi Ebadzadeh:
Support vector-based fuzzy classifier with adaptive kernel. Neural Comput. Appl. 31(7): 2117-2130 (2019) - [c40]Yunsu Kim, Petre Petrov, Pavel Petrushkov, Shahram Khadivi, Hermann Ney:
Pivot-based Transfer Learning for Neural Machine Translation between Non-English Languages. EMNLP/IJCNLP (1) 2019: 866-876 - [c39]Yunsu Kim, Hendrik Rosendahl, Nick Rossenbach, Jan Rosendahl, Shahram Khadivi, Hermann Ney:
Learning Bilingual Sentence Embeddings via Autoencoding and Computing Similarities with a Multilayer Perceptron. RepL4NLP@ACL 2019: 61-71 - [c38]Miguel Graça, Yunsu Kim, Julian Schamper, Shahram Khadivi, Hermann Ney:
Generalizing Back-Translation in Neural Machine Translation. WMT (1) 2019: 45-52 - [e2]Colin Cherry, Greg Durrett, George F. Foster, Reza Haffari, Shahram Khadivi, Nanyun Peng, Xiang Ren, Swabha Swayamdipta:
Proceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource NLP, DeepLo@EMNLP-IJCNLP 2019, Hong Kong, China, November 3, 2019. Association for Computational Linguistics 2019, ISBN 978-1-950737-78-9 [contents] - [i13]Yunsu Kim, Hendrik Rosendahl, Nick Rossenbach, Jan Rosendahl, Shahram Khadivi, Hermann Ney:
Learning Bilingual Sentence Embeddings via Autoencoding and Computing Similarities with a Multilayer Perceptron. CoRR abs/1906.01942 (2019) - [i12]Shen Yan, Leonard Dahlmann, Pavel Petrushkov, Sanjika Hewavitharana, Shahram Khadivi:
Word-based Domain Adaptation for Neural Machine Translation. CoRR abs/1906.03129 (2019) - [i11]Miguel Graça, Yunsu Kim, Julian Schamper, Shahram Khadivi, Hermann Ney:
Generalizing Back-Translation in Neural Machine Translation. CoRR abs/1906.07286 (2019) - [i10]Yunsu Kim, Petre Petrov, Pavel Petrushkov, Shahram Khadivi, Hermann Ney:
Pivot-based Transfer Learning for Neural Machine Translation between Non-English Languages. CoRR abs/1909.09524 (2019) - 2018
- [c37]Pavel Petrushkov, Shahram Khadivi, Evgeny Matusov:
Learning from Chunk-based Feedback in Neural Machine Translation. ACL (2) 2018: 326-331 - [c36]Shen Yan, Leonard Dahlmann, Pavel Petrushkov, Sanjika Hewavitharana, Shahram Khadivi:
Word-based Domain Adaptation for Neural Machine Translation. IWSLT 2018: 31-38 - [c35]Julia Kreutzer, Shahram Khadivi, Evgeny Matusov, Stefan Riezler:
Can Neural Machine Translation be Improved with User Feedback? NAACL-HLT (3) 2018: 92-105 - [e1]Reza Haffari, Colin Cherry, George F. Foster, Shahram Khadivi, Bahar Salehi:
Proceedings of the Workshop on Deep Learning Approaches for Low-Resource NLP, DeepLo@ACL 2018, Melbourne, Australia, July 19, 2018. Association for Computational Linguistics 2018, ISBN 978-1-948087-47-6 [contents] - [i9]Julia Kreutzer, Shahram Khadivi, Evgeny Matusov, Stefan Riezler:
Can Neural Machine Translation be Improved with User Feedback? CoRR abs/1804.05958 (2018) - [i8]Pavel Petrushkov, Shahram Khadivi, Evgeny Matusov:
Learning from Chunk-based Feedback in Neural Machine Translation. CoRR abs/1806.07169 (2018) - 2017
- [c34]Leonard Dahlmann, Evgeny Matusov, Pavel Petrushkov, Shahram Khadivi:
Neural Machine Translation Leveraging Phrase-based Models in a Hybrid Search. EMNLP 2017: 1411-1420 - [c33]Shahram Khadivi, Patrick Wilken, Leonard Dahlmann, Evgeny Matusov:
Neural and Statistical Methods for Leveraging Meta-information in Machine Translation. MTSummit (1) 2017: 41-54 - [i7]Mohaddeseh Bastan, Shahram Khadivi, Mohammad Mehdi Homayounpour:
Neural Machine Translation on Scarce-Resource Condition: A case-study on Persian-English. CoRR abs/1701.01854 (2017) - [i6]Mohammad Aliannejadi, Masoud Kiaeeha, Shahram Khadivi, Saeed Shiry Ghidary:
Graph-Based Semi-Supervised Conditional Random Fields For Spoken Language Understanding Using Unaligned Data. CoRR abs/1701.08533 (2017) - [i5]Shahram Khadivi, Patrick Wilken, Leonard Dahlmann, Evgeny Matusov:
Neural and Statistical Methods for Leveraging Meta-information in Machine Translation. CoRR abs/1708.03186 (2017) - [i4]Leonard Dahlmann, Evgeny Matusov, Pavel Petrushkov, Shahram Khadivi:
Neural Machine Translation Leveraging Phrase-based Models in a Hybrid Search. CoRR abs/1708.03271 (2017) - [i3]Saeed Haji Seyed Javadi, Pedram Gharani, Shahram Khadivi:
Detecting Community Structure in Dynamic Social Networks Using the Concept of Leadership. CoRR abs/1711.02053 (2017) - 2016
- [j6]Shahram Salami, Mehrnoush Shamsfard, Shahram Khadivi:
Phrase-boundary model for statistical machine translation. Comput. Speech Lang. 38: 13-27 (2016) - [c32]Wenhu Chen, Evgeny Matusov, Shahram Khadivi, Jan-Thorsten Peter:
Guided Alignment Training for Topic-Aware Neural Machine Translation. AMTA (1) 2016: 121-134 - [i2]Wenhu Chen, Evgeny Matusov, Shahram Khadivi, Jan-Thorsten Peter:
Guided Alignment Training for Topic-Aware Neural Machine Translation. CoRR abs/1607.01628 (2016) - 2015
- [j5]Saeed Farzi, Heshaam Faili, Shahram Khadivi:
A syntactically informed reordering model for statistical machine translation. J. Exp. Theor. Artif. Intell. 27(4): 449-469 (2015) - [j4]Mohammad Daryaie Zanjani, Shahram Khadivi:
Predicting user click behaviour in search engine advertisements. New Rev. Hypermedia Multim. 21(3-4): 301-319 (2015) - [c31]Somayeh Bakhshaei, Shahram Khadivi, Reza Safabakhsh:
A Generative Model for Extracting Parallel Fragments from Comparable Documents. BUCC@ACL/IJCNLP 2015: 43-51 - [c30]Fatemeh Azadi, Shahram Khadivi:
Improved search strategy for interactive predictions in computer-assisted translation. MTSummit 2015 - [i1]Amir Pouya Aghasadeghi, Mohadeseh Bastan, Shahram Khadivi:
Rebuilding Phrase Table Scores from Monolingual Resources Using Neural Networks Vector Representations. CoRR abs/1506.00406 (2015) - 2014
- [c29]Mohammad Aliannejadi, Masoud Kiaeeha, Shahram Khadivi, Saeed Shiry Ghidary:
Graph-Based Semi-Supervised Conditional Random Fields For Spoken Language Understanding Using Unaligned Data. ALTA 2014: 98-103 - [c28]Saeed Haji Seyed Javadi, Shahram Khadivi, Mohammad Ebrahim Shiri, Jia Xu:
An ant colony optimization method to detect communities in social networks. ASONAM 2014: 200-203 - 2013
- [j3]Saeed Farzi, Heshaam Faili, Shahram Khadivi, Jalal Maleki:
A Novel Reordering Model for Statistical Machine Translation. Res. Comput. Sci. 65: 51-64 (2013) - [c27]Samira Tofighi Zahabi, Somayeh Bakhshaei, Shahram Khadivi:
Using Context Vectors in Improving a Machine Translation System with Bridge Language. ACL (2) 2013: 318-322 - [c26]Ali Asghar Torabi, Kaveh Taghipour, Shahram Khadivi:
Web Spam Detection: New Approach with Hidden Markov Models. AIRS 2013: 239-250 - [c25]Sajad Ebrahimi, Kourosh Meshgi, Shahram Khadivi, Mohammad Ebrahim Shiri Ahmad Abady:
Meta-level Statistical Machine Translation. IJCNLP 2013: 1151-1157 - 2012
- [c24]Fattaneh Jabbari, Somayeh Bakshaei, Seyyed Mohammad Mohammadzadeh Ziabary, Shahram Khadivi:
Developing an Open-domain English-Farsi Translation System Using AFEC: Amirkabir Bilingual Farsi-English Corpus. CAAS@AMTA 2012: 17-23 - [c23]Zeinab Vakil, Shahram Khadivi:
A New Search Approach for Interactive-Predictive Computer-Assisted Translation. COLING (Posters) 2012: 1261-1270 - [c22]Zeinab Rahimi, Kaveh Taghipour, Shahram Khadivi, Nasim Afhami:
Document and sentence alignment in comparable corpora using bipartite graph matching. IST 2012: 817-821 - [c21]Somayeh Bakhshaei, Shahram Khadivi:
A pool-based active learning method for improving Farsi-English Machine Translation system. IST 2012: 822-826 - [c20]Mohammad Reza HaratiNik, Mahdi Akrami, Shahram Khadivi, Mahdi Shajari:
FUZZGY: A hybrid model for credit card fraud detection. IST 2012: 1088-1093 - [c19]Hamid Eghbalzadeh, Behrooz Hosseini, Shahram Khadivi, Ali Khodabakhsh:
Persica: A Persian corpus for multi-purpose text mining and natural language processing. IST 2012: 1207-1214 - [c18]Shahram Khadivi, Zeinab Vakil:
Interactive-predictive speech-enabled computer-assisted translation. IWSLT 2012: 237-243 - [c17]Zakieh Shakeri, Neda Noormohammadi, Shahram Khadivi, Noushin Riahi:
Use of linguistic features for improving English-Persian SMT. KONVENS 2012: 165-173 - [c16]Mahdi Khademian, Kaveh Taghipour, Saab Mansour, Shahram Khadivi:
A Holistic Approach to Bilingual Sentence Fragment Extraction from Comparable Corpora. LREC 2012: 4073-4079 - 2011
- [c15]Najmeh Mousavi Nejad, Shahram Khadivi:
An Unsupervised Alignment Model for Sequence Labeling: Application to Name Transliteration. NEWS@IJCNLP 2011: 73-81 - [c14]Najmeh Mousavi Nejad, Shahram Khadivi, Kaveh Taghipour:
The Amirkabir Machine Transliteration System for NEWS 2011: Farsi-to-English Task. NEWS@IJCNLP 2011: 91-95 - [c13]Hamed Ganji, Shahram Khadivi:
ASVMFC: Adaptive Support Vector Machine Based Fuzzy Classifier. AIRS 2011: 340-351 - [c12]Ghazaleh Aghili, Mehdi Shajari, Shahram Khadivi, Mohammad Amin Morid:
Using Genre Interest of Users to Detect Profile Injection Attacks in Movie Recommender Systems. ICMLA (1) 2011: 49-52 - [c11]Kaveh Taghipour, Shahram Khadivi, Jia Xu:
Parallel Corpus Refinement as an Outlier Detection Algorithm. MTSummit 2011
2000 – 2009
- 2009
- [j2]Sergio Barrachina, Oliver Bender, Francisco Casacuberta, Jorge Civera, Elsa Cubel, Shahram Khadivi, Antonio L. Lagarda, Hermann Ney, Jesús Tomás, Enrique Vidal, Juan Miguel Vilar:
Statistical Approaches to Computer-Assisted Translation. Comput. Linguistics 35(1): 3-28 (2009) - [c10]Murat Akbacak, Horacio Franco, Michael W. Frandsen, Sasa Hasan, Huda Jameel, Andreas Kathol, Shahram Khadivi, Xin Lei, Arindam Mandal, Saab Mansour, Kristin Precoda, Colleen Richey, Dimitra Vergyri, Wen Wang, Mei Yang, Jing Zheng:
Recent advances in SRI'S IraqCommTM Iraqi Arabic-English speech-to-speech translation system. ICASSP 2009: 4809-4812 - 2008
- [b1]Shahram Khadivi:
Statistical computer assisted translation. RWTH Aachen University, Germany, 2008, pp. 1-124 - [j1]Shahram Khadivi, Hermann Ney:
Integration of Speech Recognition and Machine Translation in Computer-Assisted Translation. IEEE Trans. Speech Audio Process. 16(8): 1551-1564 (2008) - 2007
- [c9]Oliver Bender, Evgeny Matusov, Stefan Hahn, Sasa Hasan, Shahram Khadivi, Hermann Ney:
The RWTH Arabic-to-English spoken language translation system. ASRU 2007: 396-401 - [c8]Dayne Freitag, Shahram Khadivi:
A Sequence Alignment Model Based on the Averaged Perceptron. EMNLP-CoNLL 2007: 238-247 - 2006
- [c7]Shahram Khadivi, Richard Zens, Hermann Ney:
Integration of Speech to Computer-Assisted Translation Using Finite-State Automata. ACL 2006 - [c6]Sasa Hasan, Shahram Khadivi, Richard Zens, Hermann Ney:
A Flexible Architecture for CAT Applications. EAMT 2006 - [c5]Anas El Isbihani, Shahram Khadivi, Oliver Bender, Hermann Ney:
Morpho-syntactic Arabic Preprocessing for Arabic to English Statistical Machine Translation. WMT@HLT-NAACL 2006: 15-22 - 2005
- [c4]Shahram Khadivi, András Zolnay, Hermann Ney:
Automatic text dictation in computer-assisted translation. INTERSPEECH 2005: 2265-2268 - [c3]Richard Zens, Oliver Bender, Sasa Hasan, Shahram Khadivi, Evgeny Matusov, Jia Xu, Yuqi Zhang, Hermann Ney:
The RWTH phrase-based statistical machine translation system. IWSLT 2005: 145-152 - [c2]Shahram Khadivi, Hermann Ney:
Automatic Filtering of Bilingual Corpora for Statistical Machine Translation. NLDB 2005: 263-274 - 2000
- [c1]Reza Safabakhsh, Shahram Khadivi:
Document Skew Detection Using Minimum-Area Bounding Rectangle. ITCC 2000: 253-258
Coauthor Index
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