Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Mathias Johan Philip Creutz"'
Autor:
Mathias Johan Philip Creutz
Publikováno v:
University of Helsinki
This paper accompanies the release of Opusparcus, a new paraphrase corpus for six European languages: German, English, Finnish, French, Russian, and Swedish. The corpus consists of paraphrases, that is, pairs of sentences in the same language that me
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c95775d6cfb40925d75c1c3f954d271b
Publikováno v:
University of Helsinki
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::5f4d841f53eee612599dad70a4af9093
https://researchportal.helsinki.fi/en/publications/10712c91-6ec4-41fc-8f33-8a192792c125
https://researchportal.helsinki.fi/en/publications/10712c91-6ec4-41fc-8f33-8a192792c125
Publikováno v:
University of Helsinki
This paper presents FISKMÖ, a project that focuses on the development of resources and tools for cross-linguistic research and machine translation between Finnish and Swedish. The goal of the project is the compilation of a massive parallel corpus o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::3297cba065b153cc066b341762531346
https://researchportal.helsinki.fi/en/publications/a5718db9-0f24-4df1-b375-31d547b19428
https://researchportal.helsinki.fi/en/publications/a5718db9-0f24-4df1-b375-31d547b19428
Publikováno v:
University of Helsinki
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::211c6f6b7adf10afe6b94f77538459ac
https://researchportal.helsinki.fi/en/publications/36067974-9eff-47a1-a287-b8669702727e
https://researchportal.helsinki.fi/en/publications/36067974-9eff-47a1-a287-b8669702727e
Publikováno v:
University of Helsinki
Sapienza Università di Roma-IRIS
Sapienza Università di Roma-IRIS
Zero-shot translations is a fascinating feature of Multilingual Neural Machine Translation (MNMT) systems. These MNMT models are usually trained on English-centric data, i.e. English either as the source or target language, and with a language label
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c4d0ca5a183c33add4cbd52d815f8bc0
https://researchportal.helsinki.fi/en/publications/f2a8095b-d4ac-4b88-9a72-2c4b5b4990a8
https://researchportal.helsinki.fi/en/publications/f2a8095b-d4ac-4b88-9a72-2c4b5b4990a8
Publikováno v:
University of Helsinki
This document describes Hutmegs, the Helsinki University of Technology Morphological Evaluation Gold Standard package, which contains gold-standard morphological segmentations for 1.4 million Finnish and 120 000 English words. The Gold Standards comp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::f2a59ef9ed66bd98126266bc1684ab87
https://researchportal.helsinki.fi/en/publications/6a43073e-4c8c-4f27-b1d7-ceeb52fabff7
https://researchportal.helsinki.fi/en/publications/6a43073e-4c8c-4f27-b1d7-ceeb52fabff7
Publikováno v:
University of Helsinki
We perform neural machine translation of sentence fragments in order to create large amounts of training data for English grammatical error correction. Our method aims at simulating mistakes made by second language learners, and produces a wider rang
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a3e2793903542e83a22bd5863447f005
https://researchportal.helsinki.fi/en/publications/fd96a2e0-de0e-4a8c-91b6-8ae10975340d
https://researchportal.helsinki.fi/en/publications/fd96a2e0-de0e-4a8c-91b6-8ae10975340d
Publikováno v:
University of Helsinki
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::bdebcf63f7b67d14121eb4b398e2e44c
https://researchportal.helsinki.fi/en/publications/c81a39f5-10ea-4d82-a486-eb1bd5b502ff
https://researchportal.helsinki.fi/en/publications/c81a39f5-10ea-4d82-a486-eb1bd5b502ff
Publikováno v:
University of Helsinki
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::7d56a4af9e10a7f278de1bc4dd2adf0b
https://researchportal.helsinki.fi/en/publications/36ab3767-c53b-4c15-aed8-a1d5016ea22a
https://researchportal.helsinki.fi/en/publications/36ab3767-c53b-4c15-aed8-a1d5016ea22a
Publikováno v:
University of Helsinki
Noisy labels in training data present a challenging issue in classification tasks, misleading a model towards incorrect decisions during training. In this paper, we propose the use of a linear noise model to augment pre-trained language models to acc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::505b1b5097c7ec6ead5eb4a44629d232
https://researchportal.helsinki.fi/en/publications/2d43b529-bf84-4b73-aa33-ab71d90321af
https://researchportal.helsinki.fi/en/publications/2d43b529-bf84-4b73-aa33-ab71d90321af