Zobrazeno 1 - 10
of 85
pro vyhledávání: '"morphologically rich languages"'
Publikováno v:
Tehnički Vjesnik, Vol 28, Iss 3, Pp 739-745 (2021)
In this paper, a novel approach to automatic question generation (AQG) using semantic role labeling (SRL) for morphologically rich languages is presented. A model for AQG is developed for our native speaking language, Croatian. Croatian language is a
Externí odkaz:
https://doaj.org/article/640f359877164ed6bbdf8045266dac20
Publikováno v:
Cogent Engineering, Vol 8, Iss 1 (2021)
Recursive Deep Models have been used as powerful models to learn compositional representations of text for many natural language processing tasks. However, they require structured input (i.e. sentiment treebank) to encode sentences based on their tre
Externí odkaz:
https://doaj.org/article/9e0ce65b59784467bffc9f1ad693e907
Autor:
Rüdiger Gleim, Steffen Eger, Alexander Mehler, Tolga Uslu, Wahed Hemati, Andy Lücking, Alexander Henlein, Sven Kahlsdorf, Armin Hoenen
Publikováno v:
Journal of Language Modelling, Vol 7, Iss 1, Pp 1–52-1–52 (2019)
The challenge of POS tagging and lemmatization in morphologically rich languages is examined by comparing German and Latin. We start by defining an NLP evaluation roadmap to model the combination of tools and resources guiding our experiments. We foc
Externí odkaz:
https://doaj.org/article/8a624d9a53a84a728580d8fdf5f62880
Autor:
Czarnowska, Paula
In case-marking languages (CMLs), such as Polish or Finnish, a substantial portion of grammatical information is expressed at the word-level. The word-forms provide information about their inherent properties, like tense or mood, but also encode info
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cc04c47970d80b475804c73cf40ff9c3
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
Tehnički Vjesnik, Vol 28, Iss 3, Pp 739-745 (2021)
Tehnički vjesnik
Volume 28
Issue 3
Tehnički vjesnik
Volume 28
Issue 3
In this paper, a novel approach to automatic question generation (AQG) using semantic role labeling (SRL) for morphologically rich languages is presented. A model for AQG is developed for our native speaking language, Croatian. Croatian language is a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d259e4d283432bba887e3ff8e5db1a1c
https://hrcak.srce.hr/file/375247
https://hrcak.srce.hr/file/375247
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
We study class-based n-gram and neural network language models for very large vocabulary speech recognition of two morphologically rich languages: Finnish and Estonian. Due to morphological processes such as derivation, inflection and compounding, th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1f3bae0f14e2d5f621defcba2703beb9
https://aaltodoc.aalto.fi/handle/123456789/109847
https://aaltodoc.aalto.fi/handle/123456789/109847
Publikováno v:
Cogent Engineering, Vol 8, Iss 1 (2021)
Recursive Deep Models have been used as powerful models to learn compositional representations of text for many natural language processing tasks. However, they require structured input (i.e. sentiment treebank) to encode sentences based on their tre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4afa54031b3ddf2a3161c9ec4d599a99
https://doi.org/10.1080/23311916.2021.1893621
https://doi.org/10.1080/23311916.2021.1893621
Conference
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.