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Aiding Pronoun Translation with Co-Reference Resolution
Ronan Le Nagard
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Philipp Koehn
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Paper Details:
Month: July
Year: 2010
Location: Uppsala, Sweden
Venue:
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Citations
URL
Document-Wide Decoding for Phrase-Based Statistical Machine Translation
Christian Hardmeier
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Joakim Nivre
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Jörg Tiedemann
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Latent Anaphora Resolution for Cross-Lingual Pronoun Prediction
Christian Hardmeier
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Jörg Tiedemann
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Joakim Nivre
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What is it? Disambiguating the different readings of the pronoun ‘it’
Sharid Loáiciga
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Liane Guillou
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Christian Hardmeier
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Machine Translation, it’s a question of style, innit? The case of English tag questions
Rachel Bawden
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Learning to Jointly Translate and Predict Dropped Pronouns with a Shared Reconstruction Mechanism
Longyue Wang
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Zhaopeng Tu
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Andy Way
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Qun Liu
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Improving Pronoun Translation for Statistical Machine Translation
Liane Guillou
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Improving machine translation of null subjects in Italian and Spanish
Lorenza Russo
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Sharid Loáiciga
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Asheesh Gulati
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Machine Translation of Spanish Personal and Possessive Pronouns Using Anaphora Probabilities
Ngoc Quang Luong
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Andrei Popescu-Belis
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Annette Rios Gonzales
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Don Tuggener
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Co-reference Resolution of Elided Subjects and Possessive Pronouns in Spanish-English Statistical Machine Translation
Annette Rios Gonzales
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Don Tuggener
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ParCor 1.0: A Parallel Pronoun-Coreference Corpus to Support Statistical MT
Liane Guillou
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Christian Hardmeier
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Aaron Smith
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Jörg Tiedemann
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Bonnie Webber
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From Interoperable Annotations towards Interoperable Resources: A Multilingual Approach to the Analysis of Discourse
Ekaterina Lapshinova-Koltunski
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Kerstin Anna Kunz
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Anna Nedoluzhko
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Discourse and Document-level Information for Evaluating Language Output Tasks
Carolina Scarton
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A Novel Approach to Dropped Pronoun Translation
Longyue Wang
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Zhaopeng Tu
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Xiaojun Zhang
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Hang Li
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Andy Way
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Qun Liu
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Disambiguating temporal-contrastive connectives for machine translation
Thomas Meyer
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Docent: A Document-Level Decoder for Phrase-Based Statistical Machine Translation
Christian Hardmeier
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Sara Stymne
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Jörg Tiedemann
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Joakim Nivre
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Enhancing Grammatical Cohesion: Generating Transitional Expressions for SMT
Mei Tu
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Yu Zhou
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Chengqing Zong
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Leveraging Compounds to Improve Noun Phrase Translation from Chinese and German
Xiao Pu
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Laura Mascarell
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Andrei Popescu-Belis
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Mark Fishel
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Ngoc-Quang Luong
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Martin Volk
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A Data-driven Approach to Studying Given Names and their Gender and Ethnicity Associations
Shervin Malmasi
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Workshop on Hybrid Approaches to Translation: Overview and Developments
Marta R. Costa-jussà
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Rafael Banchs
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Reinhard Rapp
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Patrik Lambert
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Kurt Eberle
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Bogdan Babych
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Translation of “It” in a Deep Syntax Framework
Michal Novák
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Anna Nedoluzhko
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Zdeněk Žabokrtský
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Feature Weight Optimization for Discourse-Level SMT
Sara Stymne
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Christian Hardmeier
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Jörg Tiedemann
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Joakim Nivre
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Pronoun-Focused MT and Cross-Lingual Pronoun Prediction: Findings of the 2015 DiscoMT Shared Task on Pronoun Translation
Christian Hardmeier
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Preslav Nakov
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Sara Stymne
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Jörg Tiedemann
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Yannick Versley
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Mauro Cettolo
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Comparison of Coreference Resolvers for Deep Syntax Translation
Michal Novák
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Dieke Oele
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Gertjan van Noord
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Analysing ParCor and its Translations by State-of-the-art SMT Systems
Liane Guillou
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Bonnie Webber
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A Proposal for a Coherence Corpus in Machine Translation
Karin Sim Smith
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Wilker Aziz
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Lucia Specia
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Predicting Pronoun Translation Using Syntactic, Morphological and Contextual Features from Parallel Data
Sharid Loáiciga
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Rule-Based Pronominal Anaphora Treatment for Machine Translation
Sharid Loáiciga
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Éric Wehrli
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Pronoun Translation and Prediction with or without Coreference Links
Ngoc Quang Luong
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Lesly Miculicich Werlen
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Andrei Popescu-Belis
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A Maximum Entropy Classifier for Cross-Lingual Pronoun Prediction
Dominikus Wetzel
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Adam Lopez
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Bonnie Webber
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Exploration of Inter- and Intralingual Variation of Discourse Phenomena
Ekaterina Lapshinova-Koltunski
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Document-Level Machine Translation with Word Vector Models
Eva Martínez Garcia
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Cristina España-Bonet
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Lluís Màrquez
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Improving Pronoun Translation by Modeling Coreference Uncertainty
Ngoc Quang Luong
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Andrei Popescu-Belis
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Findings of the 2016 WMT Shared Task on Cross-lingual Pronoun Prediction
Liane Guillou
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Christian Hardmeier
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Preslav Nakov
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Sara Stymne
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Jörg Tiedemann
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Yannick Versley
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Mauro Cettolo
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Bonnie Webber
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Andrei Popescu-Belis
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It-disambiguation and source-aware language models for cross-lingual pronoun prediction
Sharid Loáiciga
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Liane Guillou
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Christian Hardmeier
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Pronoun Language Model and Grammatical Heuristics for Aiding Pronoun Prediction
Ngoc Quang Luong
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Andrei Popescu-Belis
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Cross-lingual Pronoun Prediction for English, French and German with Maximum Entropy Classification
Dominikus Wetzel
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A Contextual Language Model to Improve Machine Translation of Pronouns by Re-ranking Translation Hypotheses
Ngoc Quang Luong
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Andrei Popescu-Belis
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Using Coreference Links to Improve Spanish-to-English Machine Translation
Lesly Miculicich Werlen
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Andrei Popescu-Belis
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Findings of the 2017 DiscoMT Shared Task on Cross-lingual Pronoun Prediction
Sharid Loáiciga
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Sara Stymne
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Preslav Nakov
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Christian Hardmeier
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Jörg Tiedemann
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Mauro Cettolo
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Yannick Versley
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Neural Machine Translation with Extended Context
Jörg Tiedemann
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Yves Scherrer
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Discourse-Related Language Contrasts in English-Croatian Human and Machine Translation
Margita Šoštarić
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Christian Hardmeier
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Sara Stymne
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Coreference and Coherence in Neural Machine Translation: A Study Using Oracle Experiments
Dario Stojanovski
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Alexander Fraser
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http://www.labri.fr/perso/clement/lefff/
Field Of Study
Linguistic Trends
Syntax
Task
Machine Translation
Language
English
Japanese
French
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