Zobrazeno 1 - 10
of 158
pro vyhledávání: '"Inguna Skadiņa"'
Publikováno v:
Digitālās humanitārās zinātnes Latvijā. :312-327
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::331e633cc5ecc8c4dc74c40538f990a7
https://doi.org/10.35539/ltnc.2022.0047.i.s.i.a.r.d.a.v.312.327
https://doi.org/10.35539/ltnc.2022.0047.i.s.i.a.r.d.a.v.312.327
Autor:
Inguna Skadiņa, Baiba Saulīte, Ilze Auziņa, Normunds Grūzītis, Andrejs Vasiļjevs, Raivis Skadiņš, Mārcis Pinnis
Publikováno v:
Baltic Journal of Modern Computing. 10
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a8ae80f6f3530198fc5cf520f4957ace
https://doi.org/10.22364/bjmc.2022.10.3.21
https://doi.org/10.22364/bjmc.2022.10.3.21
Publikováno v:
Text, Speech, and Dialogue ISBN: 9783031162695
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2a844e053b221457e279c66e04b23b6b
https://doi.org/10.1007/978-3-031-16270-1_4
https://doi.org/10.1007/978-3-031-16270-1_4
Autor:
Rinalds Vīksna, Inguna Skadiņa
Publikováno v:
Baltic Journal of Modern Computing. 10
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b2af6ec19640cca59c96f1be656cf2bf
https://doi.org/10.22364/bjmc.2022.10.3.18
https://doi.org/10.22364/bjmc.2022.10.3.18
Publikováno v:
Baltistica, Vol 0, Iss 8, Pp 155-168 (2012)
DEVELOPMENT OF ENGLISH-LATVIAN STATISTICAL MACHINE TRANSLATION SYSTEM: METHODS, RESOURCES AND FIRST RESULTSSummaryThis paper presents research and development of English-Latvian Statistical Machine Translation (SMT) prototypes for legal domain. Sever
Externí odkaz:
https://doaj.org/article/116553e81a894fb2b5c731e58e7612c0
Autor:
Rinalds Viksna, Inguna Skadiņa
Publikováno v:
Statistical Language and Speech Processing ISBN: 9783030895785
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b3cb2e86722c0cc06a8e7e9af68d2edc
https://doi.org/10.1007/978-3-030-89579-2_5
https://doi.org/10.1007/978-3-030-89579-2_5
Autor:
Ahmet Aker, Radu Ion, Nikos Mastropavlos, Monica Paramita, Mārcis Pinnis, Dan Ştefănescu, Fangzhong Su, Gregor Thurmair, Elena Irimia, Nikola Ljubešić, Evangelos Kanoulas, Judita Preiss, Rob Gaizauskas, Paul Clough, Emma Barker, Nikos Glaros, Tiberiu Boroș, Inguna Skadiņa, Andrejs Vasiļjevs
Publikováno v:
Using Comparable Corpora for Under-Resourced Areas of Machine Translation ISBN: 9783319990033
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::632e700d6218a6680a0118a0751bf630
https://doi.org/10.1007/978-3-319-99004-0_8
https://doi.org/10.1007/978-3-319-99004-0_8
Autor:
Mārcis Pinnis, Nikola Ljubešić, Inguna Skadiņa, Tatjana Gornostaja, Špela Vintar, Darja Fišer, Marko Tadić, Dan Stefanescu
Publikováno v:
Using Comparable Corpora for Under-Resourced Areas of Machine Translation ISBN: 9783319990033
Using Comparable Corpora for Under-Resourced Areas of Machine Translation
Using Comparable Corpora for Under-Resourced Areas of Machine Translation
Comparable corpora may comprise different types of single-word and multi-word phrases that can be considered as reciprocal translations, which may be beneficial for many different natural language processing tasks. This chapter describes methods and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c8f31fc81d3de2dcbe75b06e778fbe37
https://doi.org/10.1007/978-3-319-99004-0_4
https://doi.org/10.1007/978-3-319-99004-0_4
Publikováno v:
Using Comparable Corpora for Under-Resourced Areas of Machine Translation ISBN: 9783319990033
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7dfcadcbf6ae306e7d73bff5b3a0087b
https://doi.org/10.1007/978-3-319-99004-0_1
https://doi.org/10.1007/978-3-319-99004-0_1
Autor:
Andrejs Vasiļjevs, Andreas Eisele, Yu Chen, Raivis Skadiņš, Xiaojun Zhang, Bogdan Babych, Sabine Hunsicker, Inguna Skadiņa, Mārcis Pinnis, Mateja Verlic, Gregor Thurmair
Publikováno v:
Using Comparable Corpora for Under-Resourced Areas of Machine Translation ISBN: 9783319990033
Using Comparable Corpora for Under-Resourced Areas of Machine Translation
Using Comparable Corpora for Under-Resourced Areas of Machine Translation
This chapter describes how semi-parallel and parallel data extracted from comparable corpora can be used in enhancing machine translation (MT) systems: what are the methods used for this task in statistical and rule-based machine translation systems;
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2f7467b212ba06571f4619a1427dedde
https://doi.org/10.1007/978-3-319-99004-0_6
https://doi.org/10.1007/978-3-319-99004-0_6