Mapping the PERFECT via translation mining

Martijn Van Der Klis; Bert Le Bruyn; Henriette De Swart

Mapping the PERFECT via translation mining

Martijn Van Der Klis, Bert Le Bruyn, Henriette De Swart

ILS LLI

Utrecht University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Abstract

Semantic analyses of the PERFECT often defeat their own purpose: by restricting their attention to 'real' perfects (like the English one), they implicitly assume the PERFECT has predefined meanings and usages. We turn the tables and focus on form, using data extracted from multilingual parallel corpora to automatically generate semantic maps (Haspelmath, 1997) of the sequence 'HAVE/BE + past participle' in five European languages (German, English, Spanish, French, Dutch). This technique, which we dub Translation Mining, has been applied before in the lexical domain (Wälchli and Cysouw, 2012) but we showcase its application at the level of the grammar.

Original language	English
Title of host publication	15th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2017
Subtitle of host publication	Proceedings of Conference
Publisher	Association for Computational Linguistics
Pages	497-502
Number of pages	6
Volume	2
ISBN (Electronic)	9781510838604
Publication status	Published - 2017
Event	15th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2017 - Valencia, Spain Duration: 3 Apr 2017 → 7 Apr 2017

Conference

Conference	15th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2017
Country/Territory	Spain
City	Valencia
Period	3/04/17 → 7/04/17

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Mapping the PERFECT via Translation MiningFinal published version, 212 KBLicence: Taverne

https://aclanthology.org/E17-2080/

Cite this

@inproceedings{2eb5c16f66b74a628ca6d1461d137a41,

title = "Mapping the PERFECT via translation mining",

abstract = "Semantic analyses of the PERFECT often defeat their own purpose: by restricting their attention to 'real' perfects (like the English one), they implicitly assume the PERFECT has predefined meanings and usages. We turn the tables and focus on form, using data extracted from multilingual parallel corpora to automatically generate semantic maps (Haspelmath, 1997) of the sequence 'HAVE/BE + past participle' in five European languages (German, English, Spanish, French, Dutch). This technique, which we dub Translation Mining, has been applied before in the lexical domain (W{\"a}lchli and Cysouw, 2012) but we showcase its application at the level of the grammar.",

author = "{Van Der Klis}, Martijn and {Le Bruyn}, Bert and {De Swart}, Henriette",

year = "2017",

language = "English",

volume = "2",

pages = "497--502",

booktitle = "15th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2017",

publisher = "Association for Computational Linguistics",

address = "United States",

note = "15th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2017 ; Conference date: 03-04-2017 Through 07-04-2017",

}

Van Der Klis, M , Le Bruyn, B & De Swart, H 2017, Mapping the PERFECT via translation mining. in 15th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2017: Proceedings of Conference. vol. 2, Association for Computational Linguistics, pp. 497-502, 15th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2017, Valencia, Spain, 3/04/17. <https://aclanthology.org/E17-2080/>

Mapping the PERFECT via translation mining. / Van Der Klis, Martijn ; Le Bruyn, Bert ; De Swart, Henriette.
15th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2017: Proceedings of Conference. Vol. 2 Association for Computational Linguistics, 2017. p. 497-502.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Mapping the PERFECT via translation mining

AU - Van Der Klis, Martijn

AU - Le Bruyn, Bert

AU - De Swart, Henriette

PY - 2017

Y1 - 2017

N2 - Semantic analyses of the PERFECT often defeat their own purpose: by restricting their attention to 'real' perfects (like the English one), they implicitly assume the PERFECT has predefined meanings and usages. We turn the tables and focus on form, using data extracted from multilingual parallel corpora to automatically generate semantic maps (Haspelmath, 1997) of the sequence 'HAVE/BE + past participle' in five European languages (German, English, Spanish, French, Dutch). This technique, which we dub Translation Mining, has been applied before in the lexical domain (Wälchli and Cysouw, 2012) but we showcase its application at the level of the grammar.

AB - Semantic analyses of the PERFECT often defeat their own purpose: by restricting their attention to 'real' perfects (like the English one), they implicitly assume the PERFECT has predefined meanings and usages. We turn the tables and focus on form, using data extracted from multilingual parallel corpora to automatically generate semantic maps (Haspelmath, 1997) of the sequence 'HAVE/BE + past participle' in five European languages (German, English, Spanish, French, Dutch). This technique, which we dub Translation Mining, has been applied before in the lexical domain (Wälchli and Cysouw, 2012) but we showcase its application at the level of the grammar.

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M3 - Conference contribution

AN - SCOPUS:85021674527

VL - 2

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EP - 502

BT - 15th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2017

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T2 - 15th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2017

Y2 - 3 April 2017 through 7 April 2017

ER -

Mapping the PERFECT via translation mining

Abstract

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