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Approximating Compound Compositionality based on Word Alignments Fabienne Cap March 9th, 2017 Overview Motivation Methodology Results Fabienne Cap Approximating Compound Compositionalitybased on Word Alignments Background Several previous


  1. Approximating Compound Compositionality based on Word Alignments Fabienne Cap March 9th, 2017

  2. Overview Motivation Methodology Results Fabienne Cap Approximating Compound Compositionalitybased on Word Alignments

  3. Background Several previous works have used alignments to identify MWEs: Medeiros de Caseli et al. (2010) used alignment assymmetries to identify MWEs in Brazilian Portuguese. Salehi and Cook (2013) compared the translations of English MWEs with the translations of their parts . Salehi et al. (2014) measured distributional similarity of English and German MWEs and their translations. Villada Moir´ on and Tiedemann (2006) used the variance of MWE alignments to identify idiomatic MWEs in Dutch. Fabienne Cap Approximating Compound Compositionalitybased on Word Alignments

  4. Background Several previous works have used alignments to identify MWEs: Medeiros de Caseli et al. (2010) used alignment assymmetries to identify MWEs in Brazilian Portuguese. Salehi and Cook (2013) compared the translations of English MWEs with the translations of their parts . Salehi et al. (2014) measured distributional similarity of English and German MWEs and their translations. Villada Moir´ on and Tiedemann (2006) used the variance of MWE alignments to identify idiomatic MWEs in Dutch. Fabienne Cap Approximating Compound Compositionalitybased on Word Alignments

  5. Background Several previous works have used alignments to identify MWEs: Medeiros de Caseli et al. (2010) used alignment assymmetries to identify MWEs in Brazilian Portuguese. Salehi and Cook (2013) compared the translations of English MWEs with the translations of their parts . Salehi et al. (2014) measured distributional similarity of English and German MWEs and their translations. Villada Moir´ on and Tiedemann (2006) used the variance of MWE alignments to identify idiomatic MWEs in Dutch. Fabienne Cap Approximating Compound Compositionalitybased on Word Alignments

  6. Background Several previous works have used alignments to identify MWEs: Medeiros de Caseli et al. (2010) used alignment assymmetries to identify MWEs in Brazilian Portuguese. Salehi and Cook (2013) compared the translations of English MWEs with the translations of their parts . Salehi et al. (2014) measured distributional similarity of English and German MWEs and their translations. Villada Moir´ on and Tiedemann (2006) used the variance of MWE alignments to identify idiomatic MWEs in Dutch. Fabienne Cap Approximating Compound Compositionalitybased on Word Alignments

  7. Background Several previous works have used alignments to identify MWEs: Medeiros de Caseli et al. (2010) used alignment assymmetries to identify MWEs in Brazilian Portuguese. Salehi and Cook (2013) compared the translations of English MWEs with the translations of their parts . Salehi et al. (2014) measured distributional similarity of English and German MWEs and their translations. Villada Moir´ on and Tiedemann (2006) used the variance of MWE alignments to identify idiomatic MWEs in Dutch. Fabienne Cap Approximating Compound Compositionalitybased on Word Alignments

  8. Background Several previous works have used alignments to identify MWEs: Medeiros de Caseli et al. (2010) used alignment assymmetries to identify MWEs in Brazilian Portuguese. Salehi and Cook (2013) compared the translations of English MWEs with the translations of their parts . vpart, nn Salehi et al. (2014) measured distributional similarity of English and German MWEs and their translations. vpart, nn Villada Moir´ on and Tiedemann (2006) used the variance of MWE alignments to identify idiomatic MWEs in Dutch. v+pp Fabienne Cap Approximating Compound Compositionalitybased on Word Alignments

  9. Background Several previous works have used alignments to identify MWEs: Medeiros de Caseli et al. (2010) used alignment assymmetries to identify MWEs in Brazilian Portuguese. Salehi and Cook (2013) compared the translations of English MWEs with the translations of their parts . vpart, nn Salehi et al. (2014) measured distributional similarity of English and German MWEs and their translations. vpart, nn Villada Moir´ on and Tiedemann (2006) used the variance of MWE alignments to identify idiomatic MWEs in Dutch. v+pp We used this approach and applied it to determine the compositionality of German noun-noun compounds . Fabienne Cap Approximating Compound Compositionalitybased on Word Alignments

  10. Why alignment variance? Motivation 1: missing counterparts The meaning of non-compositional compounds is lexicalised A lexical counterpart might be missing in the other language Translators have to work around it → highly likely that these ”work-arounds” will differ Example : Herzblut : passion, commitment, dedication Ad-hoc created compounds might also lack a counterpart But: due to their compositional meaning, the translator is likely to create the same compound in the other language Example : Blutbus : blood bus Fabienne Cap Approximating Compound Compositionalitybased on Word Alignments

  11. Why alignment variance? Motivation 1: missing counterparts The meaning of non-compositional compounds is lexicalised A lexical counterpart might be missing in the other language Translators have to work around it → highly likely that these ”work-arounds” will differ Example : Herzblut : passion, commitment, dedication Ad-hoc created compounds might also lack a counterpart But: due to their compositional meaning, the translator is likely to create the same compound in the other language Example : Blutbus : blood bus Fabienne Cap Approximating Compound Compositionalitybased on Word Alignments

  12. Why alignment variance? Motivation 1: missing counterparts The meaning of non-compositional compounds is lexicalised A lexical counterpart might be missing in the other language Translators have to work around it → highly likely that these ”work-arounds” will differ Example : Herzblut : passion, commitment, dedication Ad-hoc created compounds might also lack a counterpart But: due to their compositional meaning, the translator is likely to create the same compound in the other language Example : Blutbus : blood bus Fabienne Cap Approximating Compound Compositionalitybased on Word Alignments

  13. Why alignment variance? Motivation 1: missing counterparts The meaning of non-compositional compounds is lexicalised A lexical counterpart might be missing in the other language Translators have to work around it → highly likely that these ”work-arounds” will differ Example : Herzblut : passion, commitment, dedication Ad-hoc created compounds might also lack a counterpart But: due to their compositional meaning, the translator is likely to create the same compound in the other language Example : Blutbus : blood bus Fabienne Cap Approximating Compound Compositionalitybased on Word Alignments

  14. Why alignment variance? Motivation 1: missing counterparts The meaning of non-compositional compounds is lexicalised A lexical counterpart might be missing in the other language Translators have to work around it → highly likely that these ”work-arounds” will differ Example : Herzblut : passion, commitment, dedication Ad-hoc created compounds might also lack a counterpart But: due to their compositional meaning, the translator is likely to create the same compound in the other language Example : Blutbus : blood bus Fabienne Cap Approximating Compound Compositionalitybased on Word Alignments

  15. Why alignment variance? Motivation 1: missing counterparts The meaning of non-compositional compounds is lexicalised A lexical counterpart might be missing in the other language Translators have to work around it → highly likely that these ”work-arounds” will differ Example : Herzblut : passion, commitment, dedication Ad-hoc created compounds might also lack a counterpart But: due to their compositional meaning, the translator is likely to create the same compound in the other language Example : Blutbus : blood bus Fabienne Cap Approximating Compound Compositionalitybased on Word Alignments

  16. Why alignment variance? Motivation 1: missing counterparts The meaning of non-compositional compounds is lexicalised A lexical counterpart might be missing in the other language Translators have to work around it → highly likely that these ”work-arounds” will differ Example : Herzblut : passion, commitment, dedication How about compositional constructions? Ad-hoc created compounds might also lack a counterpart But: due to their compositional meaning, the translator is likely to create the same compound in the other language Example : Blutbus : blood bus Fabienne Cap Approximating Compound Compositionalitybased on Word Alignments

  17. Why alignment variance? Motivation 1: missing counterparts The meaning of non-compositional compounds is lexicalised A lexical counterpart might be missing in the other language Translators have to work around it → highly likely that these ”work-arounds” will differ Example : Herzblut : passion, commitment, dedication How about compositional constructions? Ad-hoc created compounds might also lack a counterpart But: due to their compositional meaning, the translator is likely to create the same compound in the other language Example : Blutbus : blood bus Fabienne Cap Approximating Compound Compositionalitybased on Word Alignments

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