Shahram Khadivi

Jia Xu, Shahram Khadivi, Mohammad Ebrahim Shiri, 2014, 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2014).

WordNet Based Features for Predicting Brain Activity associated with meanings of nouns

Shahram Khadivi, Mehrdad Alizadeh, Ahmad Babaeian Jelodar, 2010, HLT-NAACL 2010.

Matching Graph, a Method for Extracting Parallel Information from Comparable Corpora

Shahram Khadivi, Reza Safabakhsh, Somayeh Bakhshaei, 2019, ACM Trans. Asian Low Resour. Lang. Inf. Process..

Phrase table pruning by modeling the content of phrases

Shahram Khadivi, Fatemeh Azadi, Shahram Khadivi, 2014, 7'th International Symposium on Telecommunications (IST'2014).

Support vector-based fuzzy classifier with adaptive kernel

Shahram Khadivi, M. Ebadzadeh, Hamed Ganji, 2019, Neural Computing and Applications.

Towards Reinforcement Learning for Pivot-based Neural Machine Translation with Non-autoregressive Transformer pdf

Hermann Ney, Shahram Khadivi, Tomer Lancewicki, 2021, ArXiv.

Statistical Approaches to Computer-Assisted Translation

Hermann Ney, Francisco Casacuberta, Shahram Khadivi, 2009, CL.

Use of linguistic features for improving English-Persian SMT

Shahram Khadivi, Noushin Riahi, Zakieh Shakeri, 2012, KONVENS.

Statistical computer assisted translation

Shahram Khadivi, Shahram Khadivi, 2008 .

Generalizing Back-Translation in Neural Machine Translation pdf

Hermann Ney, Shahram Khadivi, Yunsu Kim, 2019, WMT.

Learning Bilingual Sentence Embeddings via Autoencoding and Computing Similarities with a Multilayer Perceptron pdf

Hermann Ney, Shahram Khadivi, Yunsu Kim, 2019, RepL4NLP@ACL.

Domain Generalisation of NMT: Fusing Adapters with Leave-One-Domain-Out Training

Dinh Q. Phung, Gholamreza Haffari, Shahram Khadivi, 2022, FINDINGS.

Guided Alignment Training for Topic-Aware Neural Machine Translation pdf

Wenhu Chen, Shahram Khadivi, Evgeny Matusov, 2016, AMTA.

Can Neural Machine Translation be Improved with User Feedback?

Shahram Khadivi, Evgeny Matusov, Stefan Riezler, 2018, NAACL.

Phrase-boundary model for statistical machine translation

Shahram Khadivi, Mehrnoush Shamsfard, Shahram Salami, 2016, Comput. Speech Lang..

Document skew detection using minimum-area bounding rectangle

Shahram Khadivi, Reza Safabakhsh, Shahram Khadivi, 2000, Proceedings International Conference on Information Technology: Coding and Computing (Cat. No.PR00540).

Multi-armed bandits for resource efficient, online optimization of language model pre-training: the use case of dynamic masking

Shahram Khadivi, Iñigo Urteaga, Tomer Lancewicki, 2022, ACL.

Multi-armed bandits for online optimization of language model pre-training: the use case of dynamic masking

Shahram Khadivi, Iñigo Urteaga, Tomer Lancewicki, 2022, ArXiv.

Extracting parallel fragments from comparable documents using a generative model

Shahram Khadivi, Reza Safabakhsh, Somayeh Bakhshaei, 2019, Comput. Speech Lang..

A Generative Model for Extracting Parallel Fragments from Comparable Documents

Shahram Khadivi, Reza Safabakhsh, Somayeh Bakhshaei, 2015, BUCC@ACL/IJCNLP.

Probabilistic Robustness for Data Filtering

Shahram Khadivi, Jia Xu, Yuhang Yu, 2023, EACL.

Kernel compositional embedding and its application in linguistic structured data classification

Mohammad Mehdi Ebadzadeh, Shahram Khadivi, Hamed Faghanpour Ganji, 2020, Knowl. Based Syst..

Pivot-based Transfer Learning for Neural Machine Translation between Non-English Languages pdf

Hermann Ney, Shahram Khadivi, Yunsu Kim, 2019, EMNLP.

A study on prediction of user's tendency toward purchases in websites based on behavior models

Shahram Khadivi, Mohammad Pezeshki, Soroush Mehri, 2014, 2014 6th Conference on Information and Knowledge Technology (IKT).

A Preordered RNN Layer Boosts Neural Machine Translation in Low Resource Settings

Shahram Khadivi, Mohaddeseh Bastan, 2021, LORESMT.

Word-based Domain Adaptation for Neural Machine Translation pdf

Shahram Khadivi, Sanjika Hewavitharana, Shen Yan, 2019, IWSLT.

Learning from Chunk-based Feedback in Neural Machine Translation

Shahram Khadivi, Evgeny Matusov, Pavel Petrushkov, 2018, ACL.

Neural Machine Translation Leveraging Phrase-based Models in a Hybrid Search

Shahram Khadivi, Evgeny Matusov, Pavel Petrushkov, 2017, EMNLP.

Active Continual Learning: Labelling Queries in a Sequence of Tasks

Dinh Q. Phung, Gholamreza Haffari, Shahram Khadivi, 2023, ArXiv.

Can Domains Be Transferred across Languages in Multi-Domain Multilingual Neural Machine Translation?

Dinh Q. Phung, Gholamreza Haffari, Shahram Khadivi, 2022, WMT.

Back-translation for Large-Scale Multilingual Machine Translation

Shahram Khadivi, Sanjika Hewavitharana, Baohao Liao, 2021, WMT.

Neural Machine Translation on scarce-resource condition: A case-study on Persian-English

Shahram Khadivi, Mohammad Mehdi Homayounpour, Mohaddeseh Bastan, 2017, 2017 Iranian Conference on Electrical Engineering (ICEE).

A study to find influential parameters on a Farsi-English statistical machine translation system

Shahram Khadivi, Noushin Riahi, Hossein Sameti, 2010, 2010 5th International Symposium on Telecommunications.

Rebuilding Phrase Table Scores from Monolingual Resources Using Neural Networks Vector Representations pdf

Shahram Khadivi, Amir Pouya Aghasadeghi, Mohadeseh Bastan, 2015, ArXiv.

Persica: A Persian corpus for multi-purpose text mining and natural language processing

S. Khadivi, H. Eghbalzadeh, B. Hosseini, 2012, 6th International Symposium on Telecommunications (IST).

Diving Deep into Context-Aware Neural Machine Translation

Hermann Ney, Shahram Khadivi, Jingjing Huo, 2020, WMT.

Semi-supervised learning for named entity recognition using weakly labeled training data

Shahram Khadivi, Atefeh Zafarian, Ali Rokni, 2015, 2015 The International Symposium on Artificial Intelligence and Signal Processing (AISP).

LenM: Improving Low-Resource Neural Machine Translation Using Target Length Modeling

Mohammad Mahdi Mahsuli, M. Homayounpour, Shahram Khadivi, 2023, Neural Processing Letters.

Neural and Statistical Methods for Leveraging Meta-information in Machine Translation pdf

Shahram Khadivi, Evgeny Matusov, Patrick Wilken, 2017, MTSUMMIT.

A syntactically informed reordering model for statistical machine translation

Shahram Khadivi, Heshaam Faili, Saeed Farzi, 2015, J. Exp. Theor. Artif. Intell..

A Novel Reordering Model for Statistical Machine Translation

Shahram Khadivi, Heshaam Faili, Jalal Maleki, 2013, Res. Comput. Sci..

Improved search strategy for interactive predictions in computer-assisted translation

Shahram Khadivi, Shahram Khadivi, Fatemeh Azadi, 2015, MTSUMMIT.

A Sequence Alignment Model Based on the Averaged Perceptron

Shahram Khadivi, Dayne Freitag, Dayne Freitag, 2007, EMNLP.

Sentiment analysis using deep learning on Persian texts

Mohammad Rahmati, Shahram Khadivi, Behnam Roshanfekr, 2017, 2017 Iranian Conference on Electrical Engineering (ICEE).

Meta-level Statistical Machine Translation

Shahram Khadivi, Kourosh Meshgi, Mohammad Ebrahim Shiri, 2013, IJCNLP.

Active Continual Learning: On Balancing Knowledge Retention and Learnability

Dinh Q. Phung, Gholamreza Haffari, Shahram Khadivi, 2023, 2305.03923.

Morpho-syntactic Arabic Preprocessing for Arabic to English Statistical Machine Translation

Hermann Ney, Shahram Khadivi, Anas El Isbihani, 2006, WMT@HLT-NAACL.

Using Context Vectors in Improving a Machine Translation System with Bridge Language

Shahram Khadivi, Somayeh Bakhshaei, Samira Tofighi Zahabi, 2013, ACL.

Masked Translation Model

Hermann Ney, Shahram Khadivi, Yunsu Kim, 2019 .

Topic adaptation for Statistical Machine Translation

Shahram Khadivi, Mina Taraghi, Shahram Khadivi, 2017, 2017 Iranian Conference on Electrical Engineering (ICEE).

Exploring new features to combine the output of machine translation paradigm

Shahram Khadivi, Elham Shaabani, Shahram Khadivi, 2014, 2014 6th Conference on Information and Knowledge Technology (IKT).

A New Search Approach for Interactive-Predictive Computer-Assisted Translation

Shahram Khadivi, Zeinab Vakil, Shahram Khadivi, 2012, COLING.

Predicting user click behaviour in search engine advertisements

Shahram Khadivi, Mohammad Daryaie Zanjani, Shahram Khadivi, 2015, New Rev. Hypermedia Multim..

Confidence estimation for machine translation using context vectors

Shahram Khadivi, Marzieh Salehi, Nooshin Riahi, 2014, 7'th International Symposium on Telecommunications (IST'2014).

The RWTH Arabic-to-English spoken language translation system

Hermann Ney, Shahram Khadivi, Evgeny Matusov, 2007, 2007 IEEE Workshop on Automatic Speech Recognition & Understanding (ASRU).

Extracting Parallel Fragments from Comparable Documents Using a Feature-Based Method

Shahram Khadivi, Zeinab Rahimi, Mohammad Hossein Samani, 2013 .