| 1 |
Proceedings of the LREC 2020: 8th Workshop on Challenges in the Management of Large Corpora (CMLC-8)
|
|
In: Proceedings of the LREC 2020: 8th Workshop on Challenges in the Management of Large Corpora (CMLC-8). Edited by: Bański, Piotr; Barbaresi, Adrien; Clematide, Simon; Kupietz, Marc; Lüngen, Harald; Pisetta, Ines (2020). Marseille, France: European Language Ressources Association. (2020)
|
|
BASE
|
|
Show details
|
|
|
| 2 |
Modelling Large Parallel Corpora: The Zurich Parallel Corpus Collection
|
|
|
|
In: Graën, Johannes; Kew, Tannon; Shaitarova, Anastassia; Volk, Martin (2019). Modelling Large Parallel Corpora: The Zurich Parallel Corpus Collection. In: Challenges in the Management of Large Corpora (CMLC-7), Cardiff, Wales, 22 July 2019 - 22 July 2019. (2019)
|
|
BASE
|
|
Show details
|
|
|
| 3 |
Efficient Exploration of Translation Variants in Large Multiparallel Corpora Using a Relational Database
|
|
|
|
In: Graën, Johannes; Clematide, Simon; Volk, Martin (2016). Efficient Exploration of Translation Variants in Large Multiparallel Corpora Using a Relational Database. In: 4th Workshop on the Challenges in the Management of Large Corpora, Portorož, 28 May 2016 - 28 May 2016, 20-23. (2016)
|
|
BASE
|
|
Show details
|
|
|
| 4 |
Challenges in the alignment, management and exploitation of large and richly annotated multi-parallel corpora
|
|
|
|
In: Graën, Johannes; Clematide, Simon (2015). Challenges in the alignment, management and exploitation of large and richly annotated multi-parallel corpora. In: 3rd Workshop on the Challenges in the Management of Large Corpora, Lancaster, 20 July 2015 - 20 July 2015, 15-20. (2015)
|
|
Abstract:
The availability of large multi-parallel corpora offers an enormous wealth of material to contrastive corpus linguists, translators and language learners, if we can exploit the data properly. Necessary preparation steps include sentence and word alignment across multiple languages. Additionally, linguistic annotation such as part-of-speech tagging, lemmatisation, chunking, and dependency parsing facilitate precise querying of linguistic properties and can be used to extend word alignment to sub-sentential groups. Such highly inter-connected data is stored in a relational database to allow for efficient retrieval and linguistic data mining, which may include the statistics-based selection of good example sentences. The varying information needs of contrastive linguists require a flexible linguistic query language for ad hoc searches. Such queries in the format of generalised treebank query languages will be automatically translated into SQL queries.
|
|
Keyword:
000 Computer science; 410 Linguistics; Institute of Computational Linguistics; knowledge & systems
|
|
URL: https://doi.org/10.5167/uzh-111877
https://www.zora.uzh.ch/id/eprint/111877/
http://ids-pub.bsz-bw.de/files/3826/Graen_Clematide_Challenges_in_the_Alignment_management_and_exploitation_2015.pdf
https://www.zora.uzh.ch/id/eprint/111877/1/Graen_Clematide_Challenges_in_the_Alignment_management_and_exploitation_2015.pdf
|
|
BASE
|
|
Hide details
|
|
|
|
|
