Description : This is an online edition of An Anglo-Saxon Dictionary, or a dictionary of "Old English". The dictionary records the state of the English language as it was used between ca. 700-1100 AD by the Anglo-Saxon inhabitants of the British Isles.
This project is based on a digital edition of An Anglo-Saxon dictionary, based on the manuscript collections of the late Joseph Bosworth (the so called Main Volume, first edition 1898) and its Supplement (first edition 1921), edited by Joseph Bosworth and T. Northcote Toller, today the largest complete dictionary of Old English (one day to be hopefully supplanted by the DOE). Alistair Campbell's "enlarged addenda and corrigenda" from 1972 are not public domain and are therefore not part of the online dictionary. Please see the front & back matter of the paper dictionary for further information, prefaces and lists of references & contractions.
The digitization project was initiated by Sean Crist in 2001 as a part of his Germanic Lexicon Project and many individuals and institutions have contributed to this project. Check out the original GLP webpage and the old Bosworth-Toller offline application webpage (to be updated). Currently the project is hosted by the Faculty of Arts, Charles University.
In 2010, the data from the GLP were converted to create the current site. Care was taken to preserve the typography of the original dictionary, but also provide a modern, user friendly interface for contemporary users.
In 2013, the entries were structurally re-tagged and the original typography was abandoned, though the immediate access to the scans of the paper dictionary was preserved.
Our aim is to reach beyond a simple digital edition and create an online environment dedicated to all interested in Old English and Anglo-Saxon culture. Feel free to join in the editing of the Dictionary, commenting on its numerous entries or participating in the discussions at our forums.
We hope that by drawing the attention of the community of Anglo-Saxonists to our site and joining our resources, we may create a more useful tool for everybody. The most immediate project to draw on the corrected and tagged data of the Dictionary is a Morphological Analyzer of Old English (currently under development).
We are grateful for the generous support of the Charles University Grant Agency and for the free hosting at the Faculty of Arts at Charles University. The site is currently maintained and developed by Ondrej Tichy et al. at the Department of English Language and ELT Methodology, Faculty of Arts, Charles University in Prague (Czech Republic).
English model for NameTag, a named entity recognition tool. The model is trained on CoNLL-2003 training data. Recognizes PER, ORG, LOC and MISC named entities. Achieves F-measure 84.73 on CoNLL-2003 test data.
English models for MorphoDiTa, providing morphological analysis, morphological generation and part-of-speech tagging.
The morphological dictionary is created from Morphium and SCOWL (Spell Checker Oriented Word Lists), the PoS tagger is trained on WSJ (Wall Street Journal). and This work has been using language resources developed and/or stored and/or distributed by the LINDAT/CLARIN project of the Ministry of Education of the Czech Republic (project LM2010013).
The morphological POS analyzer development was supported by grant of the Ministry of Education, Youth and Sports of the Czech Republic No. LC536 "Center for Computational Linguistics". The morphological POS analyzer research was performed by Johanka Spoustová (Spoustová 2008; the Treex::Tool::EnglishMorpho::Analysis Perl module). The lemmatizer was implemented by Martin Popel (Popel 2009; the Treex::Tool::EnglishMorpho::Lemmatizer Perl module). The lemmatizer is based on morpha, which was released under LGPL licence as a part of RASP system (http://ilexir.co.uk/applications/rasp).
The tagger algorithm and feature set research was supported by the projects MSM0021620838 and LC536 of Ministry of Education, Youth and Sports of the Czech Republic, GA405/09/0278 of the Grant Agency of the Czech Republic and 1ET101120503 of Academy of Sciences of the Czech Republic. The research was performed by Drahomíra "johanka" Spoustová, Jan Hajič, Jan Raab and Miroslav Spousta.
This package contains data sets for development and testing of machine translation of medical search short queries between Czech, English, French, and German. The queries come from general public and medical experts. and This work was supported by the EU FP7 project Khresmoi (European Comission contract No. 257528). The language resources are distributed by the LINDAT/Clarin project of the Ministry of Education, Youth and Sports of the Czech Republic (project no. LM2010013).
We thank Health on the Net Foundation for granting the license for the English general public queries, TRIP database for granting the license for the English medical expert queries, and three anonymous translators and three medical experts for translating amd revising the data.
This package contains data sets for development and testing of machine translation of medical queries between Czech, English, French, German, Hungarian, Polish, Spanish ans Swedish. The queries come from general public and medical experts. This is version 2.0 extending the previous version by adding Hungarian, Polish, Spanish, and Swedish translations.
This package contains data sets for development and testing of machine translation of sentences from summaries of medical articles between Czech, English, French, and German. and This work was supported by the EU FP7 project Khresmoi (European Comission contract No. 257528). The language resources are distributed by the LINDAT/Clarin project of the Ministry of Education, Youth and Sports of the Czech Republic (project no. LM2010013). We thank all the data providers and copyright holders for providing the source data and anonymous experts for translating the sentences.
This package contains data sets for development (Section dev) and testing (Section test) of machine translation of sentences from summaries of medical articles between Czech, English, French, German, Hungarian, Polish, Spanish
and Swedish. Version 2.0 extends the previous version by adding Hungarian, Polish, Spanish, and Swedish translations.
General Information:
Data collector: Jean Costa Silva (University of Georgia)
Date of collection: September-December 2022
Manner of collection: Online questionnaire via Qualtrics
Funding: No
The presented game is designed to teach the six most frequent English prepositions (to, of, in, for, on, and with) at the A1 to A2 levels of proficiency. Prep for Adventure is a single-player game comprised of five separate tasks – jumping puzzle, cooking, town maze, lighting the goblets, and a banter with a classmate. Their mechanics are then combined in the final task (The Final Fight) to elicit the correct responses of the subject.
The language used in the game is adjusted for the subjects’ level of proficiency, the game is fully voiced and offers a degree of customization. All tasks are based on the gap-filling type of exercise where subjects have to complete a sentence with a missing word, either by typing it in or via different kinds of multiple-choice formats. The game is designed to advance the subjects’ performance in prepositional structures by exposing players to as much input as possible.
The length of one average playthrough is approximately 30-45 minutes. The game was created in the RPG Maker MV engine where RPG stands for role-playing game, which is a genre of a game in which the player adopts a role/roles of a fictional character/characters in a (partly or fully) invented setting.
The game story:
The Grammar School of Witchcraft has been taken over by the Evil Preposition Magician and the player is trying to win their school back alongside with a young witch named Morphologina (the player’s guide).