Dutch Parallel Corpus
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1 Dutch Parallel Corpus Lieve Macken LT 3, Language and Translation Technology Team Faculty of Applied Language Studies University College Ghent November 29th 2011 Lieve Macken (LT 3 ) DPC November 29th / 28
2 Dutch Parallel Corpus Characteristics Parallel Corpus of 10 million words 2 language pairs, 4 language directions Dutch French / Dutch English Bidirectional Also comparable corpus (translated vs. non-translated language) Balanced 5 text types: administrative texts, instructive texts, literature, journalistic texts, texts for external communication Text types further divided into subtypes ± 500,000 words per translation direction/text type Metadata files info on translation direction and text types other relevant info such as intended audience, text provider,... Lieve Macken (LT 3 ) DPC November 29th / 28
3 Dutch Parallel Corpus Characteristics (ctd.) Balanced (ctd.) Condition on translation direction relaxed for instructive texts difficult to find information on translation direction Literary texts balanced according to language pairs difficult to obtain copyright clearance Copyright-cleared Difficult and time-consuming task Commercial publishers (journalistic texts and literature) longer and more difficult negotiation cycles Different type of IPR-agreements commercial vs. non-commercial use recognizable vs. partially recognizable Lieve Macken (LT 3 ) DPC November 29th / 28
4 Dutch Parallel Corpus Characteristics (ctd.) Automaticaly aligned at sentence level Combined three alignment tools reduce manual verification effort No word alignment Linguistically enriched Preprocessing Character conversion (UTF-8) Text split in sentences and tokens Part-of-speech tagging Info on tag sets: see user doc Lemmatization Lieve Macken (LT 3 ) DPC November 29th / 28
5 Dutch Parallel Corpus Characteristics (ctd.) Obtained accuracy scores on a manually validated DPC sample Sample size Lemmata PoS PoS (tokens) (full tag) (main category) Dutch 211, % 94.8% 97.4% English 300, % 96.2% N/A French 330, % 94.6% 97.4% Lieve Macken (LT 3 ) DPC November 29th / 28
6 Dutch Parallel Corpus Distribution Distributed and maintained by HLT-agency (TST-centrale) Lieve Macken (LT 3 ) DPC November 29th / 28
7 XML data 4 files per text 2 monolingual files Indications of paragraphs and sentences Linguistic annotations File containing metadata Author, date, publication,... Source and target language Text type and subtype Domain, keywords Type of IPR-agreement File with sentence alignments Lieve Macken (LT 3 ) DPC November 29th / 28
8 Monolingual XML file Lieve Macken (LT 3 ) DPC November 29th / 28
9 Metadata XML file Lieve Macken (LT 3 ) DPC November 29th / 28
10 Alignment XML file Lieve Macken (LT 3 ) DPC November 29th / 28
11 Webinterface Demo version Lieve Macken (LT 3 ) DPC November 29th / 28
12 Webinterface ctd. Three steps 1 Monolingual vs. bilingual search 2 Full corpus vs. subcorpus 3 Search query Lieve Macken (LT 3 ) DPC November 29th / 28
13 Webinterface ctd. Putting together a subcorpus Multifunctional resource for diverse group of users Researchers in translation studies vs. contrastive linguistics Language teachers and language learners Human translators Create a subcorpus according to your needs! E.g. filter on translation direction E.g. filter on text type But: the more restrictions... the less data Lieve Macken (LT 3 ) DPC November 29th / 28
14 Webinterface ctd. Lieve Macken (LT 3 ) DPC November 29th / 28
15 Webinterface ctd. Search query Define search words max. 2 per language Define search type Word form or lemma Part-of-speech Position Lieve Macken (LT 3 ) DPC November 29th / 28
16 Example 2 consecutive words Lieve Macken (LT 3 ) DPC November 29th / 28
17 Example 2 consecutive words (results) Lieve Macken (LT 3 ) DPC November 29th / 28
18 Webinterface ctd. Metadata Context Lieve Macken (LT 3 ) DPC November 29th / 28
19 Webinterface ctd. Export to Excel Source and target sentences and accompanying metadata Lieve Macken (LT 3 ) DPC November 29th / 28
20 Puisque aangezien Lieve Macken (LT 3 ) DPC November 29th / 28
21 Results Puisque aangezien Lieve Macken (LT 3 ) DPC November 29th / 28
22 Dutch compounds Lieve Macken (LT 3 ) DPC November 29th / 28
23 Results Dutch compounds Lieve Macken (LT 3 ) DPC November 29th / 28
24 Passé composé (French) Simple past (Dutch) Lieve Macken (LT 3 ) DPC November 29th / 28
25 Results passé composé (French) Simple past (Dutch) Lieve Macken (LT 3 ) DPC November 29th / 28
26 Final verbal group in Dutch Lieve Macken (LT 3 ) DPC November 29th / 28
27 Results final verbal group in Dutch Lieve Macken (LT 3 ) DPC November 29th / 28
28 Acknowledgements Funded by the STEVIN programme DPC Team K.U. Leuven campus Kortrijk Faculty of Applied Language Studies University College Ghent Contributors Piet Desmet, Willy Vandeweghe, Hans Paulussen, Lieve Macken, Maribel Montero Perez, Orphée De Clercq, Lidia Rura, Julia Trushkina and Antoine Besnehard User Manual Publications Lieve Macken (LT 3 ) DPC November 29th / 28
Post-doctoral researcher, Faculty of Translation Studies, University College Ghent
Lieve Macken Faculty of Translation Studies Groot-Brittanniëlaan 45 B-9000, Ghent Belgium email: lieve.macken@hogent.be url: lt3.hogent.be/en/people/lieve-macken/ Born: June 17, 1968 Belgium Nationality:
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