Turkish Resources for Visual Word Recognition
We report two tools to conduct psycholinguistic experiments on Turkish words. KelimetriK allows experimenters to choose words based on desired orthographic scores of word frequency, bigram and trigram frequency, ON, OLD20, ATL and subset/superset similarity. Turkish version of Wuggy generates pseudo...
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ftmetuankair:oai:https://open.metu.edu.tr:11511/52948 2023-05-15T16:48:36+02:00 Turkish Resources for Visual Word Recognition Erten, Begum Bozşahin, Hüseyin Cem Zeyrek Bozşahin, Deniz Reykjavik, Iceland 2014-05-31 https://hdl.handle.net/11511/52948 unknown Erten B., BOZŞAHİN H. C. , ZEYREK BOZŞAHİN D., "Turkish Resources for Visual Word Recognition", 9th International Conference on Language Resources and Evaluation (LREC), Reykjavik, İzlanda, 26 - 31 Mayıs 2014, ss.2106-2110 https://hdl.handle.net/11511/52948 WOS:000355611003113 Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/ CC-BY-NC-ND 9th International Conference on Language Resources and Evaluation (LREC) Morphology Lexical statistics Pseudoword generation Conference Paper 2014 ftmetuankair 2020-12-11T12:11:21Z We report two tools to conduct psycholinguistic experiments on Turkish words. KelimetriK allows experimenters to choose words based on desired orthographic scores of word frequency, bigram and trigram frequency, ON, OLD20, ATL and subset/superset similarity. Turkish version of Wuggy generates pseudowords from one or more template words using an efficient method. The syllabified version of the words are used as the input, which are decomposed into their sub-syllabic components. The bigram frequency chains are constructed by the entire words' onset, nucleus and coda patterns. Lexical statistics of stems and their syllabification are compiled by us from BOUN corpus of 490 million words. Use of these tools in some experiments is shown. Conference Object Iceland OpenMETU (Middle East Technical University) |
institution |
Open Polar |
collection |
OpenMETU (Middle East Technical University) |
op_collection_id |
ftmetuankair |
language |
unknown |
topic |
Morphology Lexical statistics Pseudoword generation |
spellingShingle |
Morphology Lexical statistics Pseudoword generation Erten, Begum Bozşahin, Hüseyin Cem Zeyrek Bozşahin, Deniz Turkish Resources for Visual Word Recognition |
topic_facet |
Morphology Lexical statistics Pseudoword generation |
description |
We report two tools to conduct psycholinguistic experiments on Turkish words. KelimetriK allows experimenters to choose words based on desired orthographic scores of word frequency, bigram and trigram frequency, ON, OLD20, ATL and subset/superset similarity. Turkish version of Wuggy generates pseudowords from one or more template words using an efficient method. The syllabified version of the words are used as the input, which are decomposed into their sub-syllabic components. The bigram frequency chains are constructed by the entire words' onset, nucleus and coda patterns. Lexical statistics of stems and their syllabification are compiled by us from BOUN corpus of 490 million words. Use of these tools in some experiments is shown. |
format |
Conference Object |
author |
Erten, Begum Bozşahin, Hüseyin Cem Zeyrek Bozşahin, Deniz |
author_facet |
Erten, Begum Bozşahin, Hüseyin Cem Zeyrek Bozşahin, Deniz |
author_sort |
Erten, Begum |
title |
Turkish Resources for Visual Word Recognition |
title_short |
Turkish Resources for Visual Word Recognition |
title_full |
Turkish Resources for Visual Word Recognition |
title_fullStr |
Turkish Resources for Visual Word Recognition |
title_full_unstemmed |
Turkish Resources for Visual Word Recognition |
title_sort |
turkish resources for visual word recognition |
publishDate |
2014 |
url |
https://hdl.handle.net/11511/52948 |
op_coverage |
Reykjavik, Iceland |
genre |
Iceland |
genre_facet |
Iceland |
op_source |
9th International Conference on Language Resources and Evaluation (LREC) |
op_relation |
Erten B., BOZŞAHİN H. C. , ZEYREK BOZŞAHİN D., "Turkish Resources for Visual Word Recognition", 9th International Conference on Language Resources and Evaluation (LREC), Reykjavik, İzlanda, 26 - 31 Mayıs 2014, ss.2106-2110 https://hdl.handle.net/11511/52948 WOS:000355611003113 |
op_rights |
Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/ |
op_rightsnorm |
CC-BY-NC-ND |
_version_ |
1766038682290094080 |