Table of Contents

• Panel Discussion: What are the new applications of machine translation in 5-10 years?Philipp Koehn, Stephan Vogel, Taro Watanabe, Arne Mauser. [doi]
• Overview of the IWSLT 2007 evaluation campaignCameron S. Fordyce. 1-12 [doi]
• A comparison of linguistically and statistically enhanced models for speech-to-speech machine translationAlicia Pérez, Víctor G. Guijarrubia, Raquel Justo, M. Inés Torres, Francisco Casacuberta. 13-20 [doi]
• Improved chunk-level reordering for statistical machine translationYuqi Zhang, Richard Zens, Hermann Ney. 21-28 [doi]
• The CASIA phrase-based statistical machine translation system for IWSLT 2007Yu Zhou, Yanqing He, Chengqing Zong. 37-42 [doi]
• The University of Edinburgh system description for IWSLT 2007Josh Schroeder, Philipp Koehn. 43-48 [doi]
• The GREYC machine translation system for the IWSLT 2007 evaluation campaignYves Lepage, Adrien Lardilleux. 49-54 [doi]
• 2r Chinese-English translation system for IWSLT 2007Boxing Chen, Jun Sun, Hongfei Jiang, Min Zhang, Ai Ti Aw. 55-60 [doi]
• The CMU-UKA statistical machine translation systems for IWSLT 2007Ian R. Lane, Andreas Zollmann, ThuyLinh Nguyen, Nguyen Bach, Ashish Venugopal, Stephan Vogel, Kay Rottmann, Ying Zhang, Alex Waibel. 61-68 [doi]
• Matrex: the DCU machine translation system for IWSLT 2007Hany Hassan, Yanjun Ma, Andy Way. 69-75 [doi]
• FBK@IWSLT 2007Nicola Bertoldi, Mauro Cettolo, Roldano Cattoni, Marcello Federico. 76-83 [doi]
• HKUST statistical machine translation experiments for IWSLT 2007Yihai Shen, Chi-kiu Lo, Marine Carpuat, Dekai Wu. 84-88 [doi]
• The University of Washington machine translation system for the IWSLT 2007 competitionKatrin Kirchhoff, Mei Yang. 89-94 [doi]
• The MIT-LL/AFRL IWSLT-2007 MT systemWade Shen, Brian Delaney, Timothy R. Anderson, Raymond E. Slyh. 95-102 [doi]
• The NICT/ATR speech translation system for IWSLT 2007Andrew M. Finch, Etienne Denoual, Hideo Okuma, Michael Paul, Hirofumi Yamamoto, Keiji Yasuda, Ruiqiang Zhang, Eiichiro Sumita. 103-110 [doi]
• Larger feature set approach for machine translation in IWSLT 2007Taro Watanabe, Jun Suzuki, Katsuhito Sudoh, Hajime Tsukada, Hideki Isozaki. 111-118 [doi]
• The ICT statistical machine translation systems for IWSLT 2007Zhongjun He, Haitao Mi, Yang Liu, Deyi Xiong, Weihua Luo, Yun Huang, Zhixiang Ren, Yajuan Lu, Qun Liu. 119-124 [doi]
• The INESC-ID IWSLT07 SMT systemJoão Graça, Diamantino Caseiro, Luísa Coheur. 125-130 [doi]
• Using word posterior probabilities in lattice translationVicente Alabau, Alberto Sanchís, Francisco Casacuberta. 131-136 [doi]
• The LIG Arabic/English speech translation system at IWSLT07Laurent Besacier, Amar Mahdhaoii, Viet Bac Le. 137-141 [doi]
• NUDT machine translation system for IWSLT2007Wen-Han Chao, Zhoujun Li. 142-145 [doi]
• MISTRAL: a lattice translation system for IWSLT 2007Alexandre Patry, Philippe Langlais, Frédéric Béchet. 146-150 [doi]
• Statistical machine translation using large j/e parallel corpus and long phrase tablesJin'ichi Murakami, Masato Tokuhisa, Satoru Ikehara. 151-156 [doi]
• The XMU SMT system for IWSLT 2007Yidong Chen, Xiaodong Shi, Changle Zhou. 157-160 [doi]
• The RWTH machine translation system for IWSLT 2007Arne Mauser, David Vilar, Gregor Leusch, Yuqi Zhang, Hermann Ney. 161-168 [doi]
• The TALP n-gram-based SMT system for IWSLT 2007Patrik Lambert, Marta R. Costa-Jussà, Josep Maria Crego, Maxim Khalilov, José B. Mariño, Rafael E. Banchs, José A. R. Fonollosa, Holger Schwenk. 169-175 [doi]
• The TÜbİTAK-UEKAE statistical machine translation system for IWSLT 2007Coskun Mermer, Hamza Kaya, Mehmet Ugur Dogan. 176-179 [doi]
• The University of maryland translation system for IWSLT 2007Christopher Dyer. 180-185 [doi]