Majid Razmara


2013

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Ensemble Triangulation for Statistical Machine Translation
Majid Razmara | Anoop Sarkar
Proceedings of the Sixth International Joint Conference on Natural Language Processing

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Graph Propagation for Paraphrasing Out-of-Vocabulary Words in Statistical Machine Translation
Majid Razmara | Maryam Siahbani | Reza Haffari | Anoop Sarkar
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

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Stacking for Statistical Machine Translation
Majid Razmara | Anoop Sarkar
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)

2012

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Mixing Multiple Translation Models in Statistical Machine Translation
Majid Razmara | George Foster | Baskaran Sankaran | Anoop Sarkar
Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

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Kriya - The SFU System for Translation Task at WMT-12
Majid Razmara | Baskaran Sankaran | Ann Clifton | Anoop Sarkar
Proceedings of the Seventh Workshop on Statistical Machine Translation

2008

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Answering List Questions using Co-occurrence and Clustering
Majid Razmara | Leila Kosseim
Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08)

Although answering list questions is not a new research area, answering them automatically still remains a challenge. The median F-score of systems that participated in TREC 2007 Question Answering track is still very low (0.085) while 74% of the questions had a median F-score of 0. In this paper, we propose a novel approach to answering list questions. This approach is based on the hypothesis that answer instances of a list question co-occur in the documents and sentences related to the topic of the question. We use a clustering method to group the candidate answers that co-occur more often. To pinpoint the right cluster, we use the target and the question keywords as spies to return the cluster that contains these keywords.