Discourse in Statistical Machine Translation
Current approaches to statistical machine translation assume that sentences in a text are independent, ignoring the property of connectedness present in virtually all discourse. We provide an extensive overview of the literature about statistical machine translation t...
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| Format: | Article |
| Language: | English |
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Presses universitaires de Caen
2012-12-01
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| Series: | Discours |
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| Online Access: | http://journals.openedition.org/discours/8726 |
| _version_ | 1819180682691215360 |
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| author | Christian Hardmeier |
| author_facet | Christian Hardmeier |
| author_sort | Christian Hardmeier |
| collection | DOAJ |
| description | Current approaches to statistical machine translation assume that sentences in a text are independent, ignoring the property of connectedness present in virtually all discourse. We provide an extensive overview of the literature about statistical machine translation that can be related to discourse phenomena and present a detailed investigation and discussion of existing research efforts on a particular discourse-related problem, the translation of anaphoric pronouns. Comparing different approaches to discourse in statistical machine translation allows us to identify fundamental problems and draw conclusions from an overarching perspective. |
| first_indexed | 2024-12-22T22:18:13Z |
| format | Article |
| id | doaj.art-ae909ef524a74f09ba4fff75517c2b3d |
| institution | Directory Open Access Journal |
| issn | 1963-1723 |
| language | English |
| last_indexed | 2024-12-22T22:18:13Z |
| publishDate | 2012-12-01 |
| publisher | Presses universitaires de Caen |
| record_format | Article |
| series | Discours |
| spelling | doaj.art-ae909ef524a74f09ba4fff75517c2b3d2022-12-21T18:10:44ZengPresses universitaires de CaenDiscours1963-17232012-12-011110.4000/discours.8726Discourse in Statistical Machine TranslationChristian HardmeierCurrent approaches to statistical machine translation assume that sentences in a text are independent, ignoring the property of connectedness present in virtually all discourse. We provide an extensive overview of the literature about statistical machine translation that can be related to discourse phenomena and present a detailed investigation and discussion of existing research efforts on a particular discourse-related problem, the translation of anaphoric pronouns. Comparing different approaches to discourse in statistical machine translation allows us to identify fundamental problems and draw conclusions from an overarching perspective.http://journals.openedition.org/discours/8726statistical machine translationdiscoursepronominal anaphorasurvey |
| spellingShingle | Christian Hardmeier Discourse in Statistical Machine Translation Discours statistical machine translation discourse pronominal anaphora survey |
| title | Discourse in Statistical Machine Translation |
| title_full | Discourse in Statistical Machine Translation |
| title_fullStr | Discourse in Statistical Machine Translation |
| title_full_unstemmed | Discourse in Statistical Machine Translation |
| title_short | Discourse in Statistical Machine Translation |
| title_sort | discourse in statistical machine translation |
| topic | statistical machine translation discourse pronominal anaphora survey |
| url | http://journals.openedition.org/discours/8726 |
| work_keys_str_mv | AT christianhardmeier discourseinstatisticalmachinetranslation |