Tokenizer, POS Tagger, Lemmatizer and Parser models for 123 treebanks of 69 languages of Universal Depenencies 2.10 Treebanks, created solely using UD 2.10 data (https://hdl.handle.net/11234/1-4758). The model documentation including performance can be found at https://ufal.mff.cuni.cz/udpipe/2/models#universal_dependencies_210_models .
To use these models, you need UDPipe version 2.0, which you can download from https://ufal.mff.cuni.cz/udpipe/2 .
Tokenizer, POS Tagger, Lemmatizer and Parser models for 131 treebanks of 72 languages of Universal Depenencies 2.12 Treebanks, created solely using UD 2.12 data (https://hdl.handle.net/11234/1-5150). The model documentation including performance can be found at https://ufal.mff.cuni.cz/udpipe/2/models#universal_dependencies_212_models .
To use these models, you need UDPipe version 2.0, which you can download from https://ufal.mff.cuni.cz/udpipe/2 .
Tokenizer, POS Tagger, Lemmatizer and Parser models for 90 treebanks of 60 languages of Universal Depenencies 2.4 Treebanks, created solely using UD 2.4 data (http://hdl.handle.net/11234/1-2988). The model documentation including performance can be found at http://ufal.mff.cuni.cz/udpipe/models#universal_dependencies_24_models .
To use these models, you need UDPipe binary version at least 1.2, which you can download from http://ufal.mff.cuni.cz/udpipe .
In addition to models itself, all additional data and value of hyperparameters used for training are available in the second archive, allowing reproducible training.
Tokenizer, POS Tagger, Lemmatizer and Parser models for 94 treebanks of 61 languages of Universal Depenencies 2.5 Treebanks, created solely using UD 2.5 data (http://hdl.handle.net/11234/1-3105). The model documentation including performance can be found at http://ufal.mff.cuni.cz/udpipe/models#universal_dependencies_25_models .
To use these models, you need UDPipe binary version at least 1.2, which you can download from http://ufal.mff.cuni.cz/udpipe .
In addition to models itself, all additional data and value of hyperparameters used for training are available in the second archive, allowing reproducible training.
Tokenizer, POS Tagger, Lemmatizer and Parser models for 99 treebanks of 63 languages of Universal Depenencies 2.6 Treebanks, created solely using UD 2.6 data (https://hdl.handle.net/11234/1-3226). The model documentation including performance can be found at https://ufal.mff.cuni.cz/udpipe/2/models#universal_dependencies_26_models .
To use these models, you need UDPipe version 2.0, which you can download from https://ufal.mff.cuni.cz/udpipe/2 .
This paper discusses the phenomenon of linguistic taboo. It contrasts that phenomenon with the truth-conditional and non-truth-conditional dimensions of meaning, paying particular attention to slurs and coarseness. It then highlights the peculiarities of taboo and its meta-semantic repercussions: taboo is a meaning-related feature that is nevertheless directly associated with the tokening process. In the conclusion, it gestures to the role of taboo within a theory of linguistic action and the standard framework for conversational exchanges. On these results, I am going to end by looking at some of the harms that epistemic injustice inflicts upon its victims.
The paper reviews recent climate change impact studies for the Slovak National Climate Program (SNKP). Basic adaptation strategies are also discussed. Priorities for future research within the SNKP are suggested. and Článok prináša prehľad o metodických postupoch, používaných v súčasnosti na určovanie možného vplyvu zmeny klímy na odtokové procesy. Nadväzuje pritom na prehľad uvedený v prácach S z o l g a y, et al. (1997), S z o l g a y a H l a v č o v á (2000), H l a v č o v á, et al. (2000) a sústreďuje sa najmä na pokrok v uvedenej problematike za posledné 4 roky, dokumentovaný na základe publikácií v niektorých vedúcich karentovaných časopisoch a výsledkov správy IPCC. Identifikuje smery výskumu v oblasti analýzy časových radov pre posudzovanie možnej zmeny podmienok tvorby odtoku, ako aj v oblasti využívania závislostí medzi odtokom a jeho podmieňujúcimi činiteľmi na určovanie možnej zmeny odtoku v dôsledku klimatickej zmeny.
Presented study is aimed at using additional information to improve process represen-tativity of hydrological modelling. The study region is the Haute-Mentue catchment lo-cated in the western part of Switzerland, 20 km north of Lausanne. Previous research in this catchment allowed improving of the understanding of the runoff generation by combining point soil moisture measurements (TDR) and integrating measurements both at the hillslope scale (dye tracing) and at the catchment scale (environmental tracing). In this work, environmental tracing information will be integrated into a semi-distributed hydrological model, which is a modified version of TOPMODEL taking into account a rapid stormflow generation above a less permeable soil horizon. Additional information has been incorporated by using a version of simulated annealing adapted for multi-criteria optimisation. and Štúdia je venovaná využitiu dodatkových informácií pri reálnejšej simulácii hydrologických procesov v zrážkovo-odtokovom modeli. Študovanou oblasťou je povodie Haute-Mentue, ležiace v západnej časti Švajčiarska, 20 km od Lausanne. Predchádzajúci výskum v tomto povodí, založený na kombinácii bodových meraní (TDR) a integrovaných meraní v mierke svahu (farbiace skúšky) a povodia (prirodzené stopovače), zlepšil vedomosti o tvorbe odtoku. V tejto štúdii sú informácie získané prirodzenými stopovačmi použité pri posudzovaní výsledkov simulácie odtoku pomocou semidistribuovaného hydrologického modelu (modifikovaná verzia modelu TOPMODEL, ktorá uvažuje s mechanizmom tvorby odtoku nasýtením nad vrstvou pôdy s nižšou priepustnosťou). Ďalšou dodatkovou informáciou boli výsledky automatickej optimalizácie parametrov modelu pmocou metódy vychádzajúcej z analógie medzi optimalizáciou parametrov modelu a rozdelením častíc v tuhnúcej kvapaline (tzv. simulated annealing), adaptovanej na optimalizáciu podľa viacerých kritérií.
The precise rainfall estimate with appropriate spatial and temporal resolutions is a key input to distributed hydrological models. However, networks of rain gauges are often sparsely distributed in developing countries. To overcome such limitations, this study used some of the existing gridded rainfall products to simulate streamflow. Four fridded rainfall products, including APHRODITE, CFSR, PERSIANN, and TRMM, were used as input to the SWAT distributed hydrological model in order to simulate streamflow over the Srepok River Catchment in Vietnam. Besides that, the available rain gauges data were also used for comparison. Amongst the four different datasets, the TRMM and APHRODITE data show their best match to rain gauges data in simulating the daily and monthly streamflow with satisfactory precision in the 2000–2006 period. The result indicates that the TRMM and APHRODITE data have potential applications
in driving hydrological model and water resources management in data-scarce and ungauged areas in Vietnam.