Nombre de documents


Rachel Bawden - Publications

Article dans une revue1 document

  • Rachel Bawden, Chloé Clavel, Frédéric Landragin. Towards the generation of dialogue acts in socio-affective ECAs: a corpus-based prosodic analysis. Language Resources and Evaluation, Springer Verlag, 2015, 50 (4), pp.821-838. 〈10.1007/s10579-015-9312-9〉. 〈hal-01353855〉

Communication dans un congrès8 documents

  • Rachel Bawden, Thomas Lavergne, Sophie Rosset. Detecting context-dependent sentences in parallel corpora. 25th conférence sur le Traitement Automatique des Langues Naturelles, 2018, Rennes, France. 〈hal-01800736〉
  • Rachel Bawden, Rico Sennrich, Alexandra Birch, Barry Haddow. Evaluating Discourse Phenomena in Neural Machine Translation. 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018, New Orleans, United States. 〈hal-01800739〉
  • Rachel Bawden. Machine Translation of Speech-Like Texts: Strategies for the Inclusion of Context. 19es REncontres jeunes Chercheurs en Informatique pour le TAL (RECITAL 2017), Jun 2017, Orléans, France. 〈hal-01588152〉
  • Rachel Bawden. Machine Translation, it’s a question of style, innit? The case of English tag questions. Conference on Empirical Methods in Natural Language Processing (EMNLP 2017), Sep 2017, Copenhague, Denmark. Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, pp.2497-2502, 〈〉. 〈hal-01588171〉
  • Rachel Bawden, Guillaume Wisniewski, Hélène Maynard. Investigating gender adaptation for speech translation. 23ème Conférence sur le Traitement Automatique des Langues Naturelles, Jul 2016, Paris, France. Actes de la conférence Traitement Automatique des Langues Naturelles, 2. 〈hal-01353860〉
  • Rachel Bawden. Cross-lingual Pronoun Prediction with Linguistically Informed Features. First Conference on Machine Translation (WMT '16), Aug 2016, Berlin, Germany. Proceedings of the First Conference on Machine Translation, 2, pp.564--570, 2016, 〈10.18653/v1/W16-2348〉. 〈hal-01353862〉
  • Rachel Bawden, Benoît Crabbé. Boosting for Efficient Model Selection for Syntactic Parsing. COLING 2016 - 26th International Conference on Computational Linguistics, Dec 2016, Osaka, Japan. pp.1-11, 2016. 〈hal-01391743v2〉
  • Rachel Bawden, Marie-Amélie Bottala, Kim Gerdes, Sylvain Kahane. Correcting and Validating Syntactic Dependency in the Spoken French Treebank Rhapsodie. Proceedings of the 9th Language Resources and Evaluation Conference (LREC), 2014, Iceland. pp.1-6, 2014. 〈halshs-01011059〉

Mémoire d'étudiant1 document

  • Rachel Bawden. Boosting for Model Selection in Syntactic Parsing. Machine Learning [cs.LG]. 2015. 〈hal-01258945〉