Marian NMT model for Catalan to Occitan translation. It is a multi-task model, producing also a phonemic transcription of the Catalan source. The model was submitted to WMT'21 Shared Task on Multilingual Low-Resource Translation for Indo-European Languages as a CUNI-Contrastive system for Catalan to Occitan.
Marian NMT model for Catalan to Occitan translation. Primary CUNI submission for WMT21 Multilingual
Low-Resource Translation for Indo-European Languages Shared Task.
Marian multilingual translation model from Catalan into Romanian, Italian and Occitan. Primary CUNI submission for WMT21 Multilingual
Low-Resource Translation for Indo-European Languages Shared Task.
This dataset comprises a corpus of 50 text contexts, each about 60 words in length, sourced from five distinct domains. Each context has been evaluated by multiple annotators who identified and ranked the most important words—up to 10% of each text—according to their perceived significance. The annotators followed specific guidelines to ensure consistency in word selection and ranking. For further details, please refer to the cited source.
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rankings_task.csv
- This csv contains information about the contexts which are to be annotated:
- id: A unique identifier for each task.
- content: The context to be ranked.
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rankings_ranking.csv
- This csv includes ranking information for various assignments. It contains four columns:
- id: A unique identifier for each ranking entry.
- score: The score assigned to the entry.
- word_order: A JSON detailing the order of words positions. It is essentially the selected word positions and their ordering from an annotator.
- assignment_id: A reference ID linking to the assignments.
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rankings_assignment.csv
- This csv tracks the completion status of tasks by users. It includes four columns:
- id: A unique identifier for each assignment entry.
- is_completed: A binary indicator (1 for completed, 0 for not completed).
- task_id: A reference ID linking to the tasks.
- user_id: The identifier for the user who should complete the task (rank the words).
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Known Issues:
Please note that each annotator was intended to rank each context only once. However, due to a bug in the deployment of the annotation tool, some entries may be duplicated. Users of this dataset should be cautious of this issue and verify the uniqueness of the annotations where necessary.
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This dataset is a part of work from a bachelor thesis:
OSUSKÝ, Adam. Predicting Word Importance Using Pre-Trained Language Models. Bachelor thesis, supervisor Javorský, Dávid. Prague: Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics, 2024.
Dictionaries with different representations for various languages. Representations include brown clusters of different sizes and morphological dictionaries extracted using different morphological analyzers. All representations cover the most frequent 250,000 word types on the Wikipedia version of the respective language.
Analzers used: MAGYARLANC (Hungarian, Zsibrita et al. (2013)), FREELING (English and Spanish, Padro and Stanilovsky (2012)), SMOR (German, Schmid et al. (2004)), an MA from Charles University (Czech, Hajic (2001)) and LATMOR (Latin, Springmann et al. (2014)).
German has various homophonous sibilant fricatives of phonemic or morphemic nature that can appear in word-final position. In English, the functional status of a word-final \s\ influences its durational properties, with phonemic \s\ being longer than morphemic types. The data set presented here is a small selection of laboratory-elicited German sentences containing various words with final sibilant phonemes (e.g., "das Haus") and morphemes (plural, genitive, clitic, inflection). Durations of the \s\ types were measured and compared across the conditions. An ANOVA between the \s\ types and post-hoc Tukey pair-wise comparisons are presented that show various significant differences.
The submission consists of a csv data file, containing a number of variables, and a PDF document detailing the experiment and variables.
Czech translation of WordSim353. The Czech translation of English WordSim353 word pairs were obtained from four translators. All translation variants were scored according to the lexical similarity/relatedness annotation instructions for WordSim353 annotators, by 25 Czech annotators. The resulting data set consists of two annotation files: "WordSim353-cs.csv" and "WordSim-cs-Multi.csv". Both files are encoded in UTF-8, have a header, text is enclosed in double quotes, and columns are separated by commas. The rows are numbered. The WordSim-cs-Multi data set has rows numbered from 1 to 634, whereas the row indices in the WordSim353-cs data set reflect the corresponding row numbers in the WordSim-cs-Multi data set.
The WordSim353-cs file contains a one-to-one mapping selection of 353 Czech equivalent pairs whose judgments have proven to be most similar to the judgments of their corresponding English originals (compared by the absolute value of the difference between the means over all annotators in each language counterpart). In one case ("psychology-cognition"), two Czech equivalent pairs had identical means as well as confidence intervals, so we randomly selected one.
The "WordSim-cs-Multi.csv" file contains human judgments for all translation variants.
In both data sets, we preserved all 25 individual scores. In the WordSim353-cs data set, we added a column with their Czech means as well as a column containing the original English means and 95% confidence intervals in separate columns for each mean (computed by the CI function in the Rmisc R package). The WordSim-cs-Multi data set contains only the Czech means and confidence intervals. For the most convenient lexical search, we provided separate columns with the respective Czech and English single words, entire word pairs, and eventually an English-Czech quadruple in both data sets.
The data set also contains an xls table with the four translations and a preliminary selection of the best variants performed by an adjudicator.
Segment from Československý zvukový týdeník Aktualita (Czechoslovak Aktualita Sound Newsreel) 1942, issue no. 32B, reports on a workers´ holiday organized by the Reinhard Heydrich Foundation for Workers´ Recuperation in Český Šternberk. A view of the exterior of the health resort. Holidaymakers are sunbathing on the terrace. A waiter is carrying plates full of food in the dining room. People are eating. A close-up of a man drinking beer from a beer mug. Holidaymakers playing volleyball. A fisherman is sitting on the bank of the Sázava River. People are bathing in the river and in the weir. Český Šternberk Castle can be seen in the background.
Segment from Československý zvukový týdeník Aktualita (Czechoslovak Aktualita Sound Newsreel) 1942, issue no. 24A, reports on a workers´ holiday organized by the Reinhard Heydrich Foundation for Workers´ Recuperation in Luhačovice. Footage of a train arriving at the railway station and the welcoming of the holidaymakers. Lunch is ready for visitors at a local restaurant. Holidaymakers rest on the hotel terrace, some play volleyball or skittles. Others explore the surrounding countryside. Footage of a walk to the Luhačovice Dam. Girls sit on the grass, weaving flower wreaths. Holidaymakers taste the local mineral water.
Segment from Československý zvukový týdeník Aktualita (Czechoslovak Aktualita Sound Newsreel) 1942, issue no. 32A, reports on a workers´ holiday organized by the Reinhard Heydrich Foundation for Workers´ Recuperation in the village of Věšín u Blatné. Holidaymakers walk through the health resort´s gate. Morning exercise in the courtyard. A waiter carries plates full of food across the outdoor dining room, people are eating. Footage of holidaymakers enjoying leisure activities, an improvised boxing match, swimming in the pool, playing water sports. A view of an entrance arch with a sign saying "Welcome to the Workers´ Health Resort".