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342. VPS-30-En
- Creator:
- Cinková, Silvie, Holub, Martin, Rambousek, Adam, and Smejkalová, Lenka
- Publisher:
- Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
- Type:
- text, lexicon, and lexicalConceptualResource
- Subject:
- corpus pattern analysis, clustering, lexical semantics, and verbs
- Language:
- English
- Description:
- VPS-30-En is a small lexical resource that contains the following 30 English verbs: access, ally, arrive, breathe, claim, cool, crush, cry, deny, enlarge, enlist, forge, furnish, hail, halt, part, plough, plug, pour, say, smash, smell, steer, submit, swell, tell, throw, trouble, wake and yield. We have created and have been using VPS-30-En to explore the interannotator agreement potential of the Corpus Pattern Analysis. VPS-30-En is a small snapshot of the Pattern Dictionary of English Verbs (Hanks and Pustejovsky, 2005), which we revised (both the entries and the annotated concordances) and enhanced with additional annotations. and This work has been partly supported by the Ministry of Education of CR within the LINDAT-Clarin project LM2010013, and by the Czech Science Foundation under the projects P103/12/G084, P406/2010/0875 and P401/10/0792.
- Rights:
- Creative Commons - Attribution 3.0 Unported (CC BY 3.0), http://creativecommons.org/licenses/by/3.0/, and PUB
343. VPS-GradeUp (2016-10-10)
- Creator:
- Baisa, Vít, Cinková, Silvie, Krejčová, Ema, and Vernerová, Anna
- Publisher:
- Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
- Type:
- text, other, and lexicalConceptualResource
- Subject:
- Pattern Dictionary of English Verbs, usage patterns, lexical semantics, dictionaries, clustering, Corpus Pattern Analysis, verbs, graded decisions, Likert scale, and Word Sense Disambiguation
- Language:
- English
- Description:
- VPS-GradeUp is a collection of triple manual annotations of 29 English verbs based on the Pattern Dictionary of English Verbs (PDEV) and comprising the following lemmas: abolish, act, adjust, advance, answer, approve, bid, cancel, conceive, cultivate, cure, distinguish, embrace, execute, hire, last, manage, murder, need, pack, plan, point, praise, prescribe, sail, seal, see, talk, urge . It contains results from two different tasks: 1. Graded decisions 2. Best-fit pattern (WSD) . In both tasks, the annotators were matching verb senses defined by the PDEV patterns with 50 actual uses of each verb (using concordances from the BNC [2]). The verbs were randomly selected from a list of completed PDEV lemmas with at least 3 patterns and at least 100 BNC concordances not previously annotated by PDEV’s own annotators. Also, the selection excluded verbs contained in VPS-30-En[3], a data set we developed earlier. This data set was built within the project Reviving Zellig S. Harris: more linguistic information for distributional lexical analysis of English and Czech and in connection with the SemEval-2015 CPA-related task.
- Rights:
- Creative Commons - Attribution 4.0 International (CC BY 4.0), http://creativecommons.org/licenses/by/4.0/, and PUB
344. Vystadial 2013 – English data
- Creator:
- Korvas, Matěj, Plátek, Ondřej, Dušek, Ondřej, Žilka, Lukáš, and Jurčíček, Filip
- Publisher:
- Charles University, Faculty of Mathematics and Physics
- Type:
- audio and corpus
- Subject:
- acoustic data, speech corpus, spoken corpus, orthographic transcriptions, telephone speech, voip, and dialogue system
- Language:
- English
- Description:
- Vystadial 2013 is a dataset of telephone conversations in English and Czech, developed for training acoustic models for automatic speech recognition in spoken dialogue systems. It ships in three parts: Czech data, English data, and scripts. The data comprise over 41 hours of speech in English and over 15 hours in Czech, plus orthographic transcriptions. The scripts implement data pre-processing and building acoustic models using the HTK and Kaldi toolkits. This is the English data part of the dataset. and This research was funded by the Ministry of Education, Youth and Sports of the Czech Republic under the grant agreement LK11221.
- Rights:
- Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0), http://creativecommons.org/licenses/by-sa/3.0/, and PUB
345. Vystadial 2013 – scripts
- Creator:
- Korvas, Matěj, Plátek, Ondřej, Dušek, Ondřej, Žilka, Lukáš, and Jurčíček, Filip
- Publisher:
- Charles University, Faculty of Mathematics and Physics
- Type:
- toolService and tool
- Subject:
- ASR, HTK, Kaldi, and acoustic model
- Language:
- English and Czech
- Description:
- Vystadial 2013 is a dataset of telephone conversations in English and Czech, developed for training acoustic models for automatic speech recognition in spoken dialogue systems. It ships in three parts: Czech data, English data, and scripts. The data comprise over 41 hours of speech in English and over 15 hours in Czech, plus orthographic transcriptions. The scripts implement data pre-processing and building acoustic models using the HTK and Kaldi toolkits. This is the scripts part of the dataset. and This research was funded by the Ministry of Education, Youth and Sports of the Czech Republic under the grant agreement LK11221.
- Rights:
- Apache License 2.0, http://opensource.org/licenses/Apache-2.0, and PUB
346. W2C – Web to Corpus – Corpora
- Creator:
- Majliš, Martin
- Publisher:
- Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
- Type:
- text and corpus
- Subject:
- multilingual corpora
- Language:
- Afrikaans, Tosk Albanian, Amharic, Arabic, Aragonese, Egyptian Arabic, Asturian, Azerbaijani, Belarusian, Bengali, Bosnian, Bishnupriya, Breton, Buginese, Bulgarian, Catalan, Cebuano, Czech, Chuvash, Corsican, Welsh, Danish, German, Dimli (individual language), Modern Greek (1453-), English, Esperanto, Estonian, Basque, Faroese, Persian, Finnish, French, Western Frisian, Gan Chinese, Scottish Gaelic, Irish, Galician, Gilaki, Gujarati, Haitian, Serbo-Croatian, Hebrew, Fiji Hindi, Hindi, Croatian, Upper Sorbian, Hungarian, Armenian, Ido, Interlingua (International Auxiliary Language Association), Indonesian, Icelandic, Italian, Javanese, Japanese, Kannada, Georgian, Kazakh, Korean, Kurdish, Latin, Latvian, Limburgan, Lithuanian, Lombard, Luxembourgish, Malayalam, Marathi, Macedonian, Malagasy, Mongolian, Maori, Malay (macrolanguage), Burmese, Neapolitan, Low German, Nepali (macrolanguage), Newari, Dutch, Norwegian Nynorsk, Norwegian, Occitan (post 1500), Ossetian, Pampanga, Piemontese, Polish, Portuguese, Quechua, Romanian, Russian, Yakut, Sicilian, Scots, Slovak, Slovenian, Spanish, Albanian, Serbian, Sundanese, Swahili (macrolanguage), Swedish, Tamil, Tatar, Telugu, Tajik, Tagalog, Thai, Turkish, Ukrainian, Urdu, Uzbek, Venetian, Vietnamese, Volapük, Waray (Philippines), Walloon, Yiddish, Yoruba, and Chinese
- Description:
- A set of corpora for 120 languages automatically collected from wikipedia and the web. Collected using the W2C toolset: http://hdl.handle.net/11858/00-097C-0000-0022-60D6-1
- Rights:
- Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0), http://creativecommons.org/licenses/by-sa/3.0/, and PUB
347. Wikicorpus
- Publisher:
- Centro de Tecnologías y Aplicaciones del Lenguaje y del Habla (TALP)
- Type:
- corpus
- Subject:
- trilingual corpus
- Language:
- Catalan, English, and Spanish
- Description:
- Trilingual corpus (Catalan, Spanish, English) that contains large portions of the Wikipedia (based on a 2006 dump) and has been automatically enriched with linguistic information. In its present version, it contains over 750 million words.
- Rights:
- Not specified
348. Wmatrix
- Publisher:
- Lancaster University
- Type:
- toolService
- Language:
- English
- Description:
- Wmatrix is a corpus comparison and annotation tool. It is web based and incorporates the CLAWS POS tagger and the USAS semantic tagger for English. It also generates frequency lists, concordances, key words and key semantic domains by comparative frequency profiling.
- Rights:
- Not specified
349. WMT 13 Test Set
- Creator:
- Hoang, Duc Tam and Bojar, Ondřej
- Publisher:
- Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
- Type:
- text and corpus
- Subject:
- test data, parallel corpus, and Vietnamese
- Language:
- Vietnamese, Czech, English, German, French, Spanish, and Russian
- Description:
- We provide the Vietnamese version of the multi-lingual test set from WMT 2013 [1] competition. The Vietnamese version was manually translated from English. For completeness, this record contains the 3000 sentences in all the WMT 2013 original languages (Czech, English, French, German, Russian and Spanish), extended with our Vietnamese version. Test set is used in [2] to evaluate translation between Czech, English and Vietnamese. References 1. http://www.statmt.org/wmt13/evaluation-task.html 2. Duc Tam Hoang and Ondřej Bojar, The Prague Bulletin of Mathematical Linguistics. Volume 104, Issue 1, Pages 75--86, ISSN 1804-0462. 9/2015
- Rights:
- Creative Commons - Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0), http://creativecommons.org/licenses/by-nc-sa/4.0/, and PUB
350. WMT 2011 Testing Set
- Creator:
- Galuščáková, Petra and Bojar, Ondřej
- Publisher:
- Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
- Type:
- text and corpus
- Subject:
- WMT, test data, and Slovak
- Language:
- Slovak, Czech, and English
- Description:
- Testing set from WMT 2011 [1] competition, manually translated from Czech and English into Slovak. Test set contains 3003 sentences in Czech, Slovak and English. Test set is described in [2]. References: [1] http://www.statmt.org/wmt11/evaluation-task.html [2] Petra Galuščáková and Ondřej Bojar. Improving SMT by Using Parallel Data of a Closely Related Language. In Human Language Technologies - The Baltic Perspective - Proceedings of the Fifth International Conference Baltic HLT 2012, volume 247 of Frontiers in AI and Applications, pages 58-65, Amsterdam, Netherlands, October 2012. IOS Press. and The work on this project was supported by the grant EuroMatrixPlus (FP7-ICT- 2007-3-231720 of the EU and 7E09003 of the Czech Republic)
- Rights:
- Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0), http://creativecommons.org/licenses/by-nc-sa/3.0/, and PUB