Benjamin Aw
Add updated pkl file v3
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{
"paper_id": "W12-0100",
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"title": "Program Committee",
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{
"text": "Welcome to the Joint EACL Workshop on Exploiting Synergies between Information Retrieval and Machine Translation (ESIRMT) and Hybrid Approaches to Machine Translation (HyTra). This two-day workshop addresses two specific but related research problems in computational linguistics.",
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"section": "Introduction",
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"text": "The ESIRMT event (1st day) aims at reducing the gap, both theoretical and practical, between information retrieval and machine translation research and applications. Although both fields have been already contributing to each other instrumentally, there is still too much work to be done in relation to solidly framing these two fields into a common ground of knowledge from both the procedural and paradigmatic perspectives.",
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"section": "Introduction",
"sec_num": null
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"text": "The HyTra event (2nd day) aims at sharing ideas among researchers developing and applying statistical, example-based, or rule-based machine translation systems and who wish to enhance their systems with elements from the other approaches.",
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"section": "Introduction",
"sec_num": null
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"text": "The joint workshop provides participants with the opportunity of discussing research related to technology integration and system combination strategies at both the general level of cross-language information access and the specific level of machine translation technologies.",
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"section": "Introduction",
"sec_num": null
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{
"text": "This workshop has been supported by the Seventh Framework Programme of the European Comission through the T4ME (METANET) contract (grant agreement no.: 249119), through the TTC contract (grant agreement no.: 248005), through the Marie Curie HyghTra contract and by the Spanish Ministry of Economy and Competivity through the BUCEADOR project (TEC2009-14094-C04-01) and the Juan de la Cierva fellowship program.",
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"section": "Introduction",
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"text": "We would like to thank all people who in one way or another helped in making this workshop a success. Our special thanks go to our plenary speakers, to the speakers of our invited project session, to our sponsors, to the participants of the panel discussion, to the members of the program committee who did an excellent job in reviewing the submitted papers, and to the EACL organizers, in particular the workshop general chairs Kristiina Jokinen and Alessandro Moschitti. Last but not least we would like to thank our authors and the participants of the workshop. ",
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"section": "Introduction",
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"title": ") Hytra Afternoon Session Can Machine Learning Algorithms Improve Phrase Selection in Hybrid Machine Translation?",
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"first": "Mireia",
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"last": "Ginest\u00ed-Rosell",
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"first": "Anthony",
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"raw_text": "Bogdan Babych, Kurt Eberle, Johanna Gei\u00df, Mireia Ginest\u00ed-Rosell, Anthony Hartley, Reinhard Rapp, Serge Sharoff and Martin Thomas (13:00-15:00) Lunch break (15:00-15:30) Hytra Afternoon Session Can Machine Learning Algorithms Improve Phrase Selection in Hybrid Machine Transla- tion? Christian Federmann (15:30-16:00)",
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"BIBREF1": {
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"title": "Linguistically-Augmented Bulgarian-to-English Statistical Machine Translation Model Rui Wang",
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"volume": "16",
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"raw_text": "Linguistically-Augmented Bulgarian-to-English Statistical Machine Translation Model Rui Wang, Petya Osenova and Kiril Simov (16:30-17:00)",
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"title": "Using Sense-labeled Discourse Connectives for Statistical Machine Translation",
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"year": null,
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"raw_text": "Using Sense-labeled Discourse Connectives for Statistical Machine Translation Thomas Meyer and Andrei Popescu-Belis (17:00-17:30) Coffee break (17:30-18:30) Panel discussion",
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"text": "Semantic Web based Machine Translation Bettina Harriehausen-M\u00fchlbauer and Timm Heuss . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 Measuring Comparability of Documents in Non-Parallel Corpora for Efficient Extraction of (Semi-)Parallel Translation Equivalents Fangzhong Su and Bogdan Babych . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10",
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