Word-based largest chunks for Agreement Groups processing: Cross-linguistic observations
The present study reports results from a series of computer experiments seeking to combine word-based Largest Chunk (LCh) segmentation and Agreement Groups (AG) sequence processing. The AG model is based on groups of similar utterances that enable combinatorial mapping of novel utterances. LCh segm...
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| Format: | Article |
| Language: | English |
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The John Paul II Catholic University of Lublin
2020-12-01
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| Series: | LingBaW |
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| Online Access: | https://czasopisma.kul.pl/index.php/LingBaW/article/view/11831 |
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| author | László Drienkó |
| author_facet | László Drienkó |
| author_sort | László Drienkó |
| collection | DOAJ |
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The present study reports results from a series of computer experiments seeking to combine word-based Largest Chunk (LCh) segmentation and Agreement Groups (AG) sequence processing. The AG model is based on groups of similar utterances that enable combinatorial mapping of novel utterances. LCh segmentation is concerned with cognitive text segmentation, i.e. with detecting word boundaries in a sequence of linguistic symbols. Our observations are based on the text of Le petit prince (The little prince) by Antoine de Saint-Exupéry in three languages: French, English, and Hungarian. The data suggest that word-based LCh segmentation is not very efficient with respect to utterance boundaries, however, it can provide useful word combinations for AG processing. Typological differences between the languages are also reflected in the results.
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| format | Article |
| id | doaj-art-6d6edae013854ccf8862c854f154d0a4 |
| institution | Kabale University |
| issn | 2450-5188 |
| language | English |
| publishDate | 2020-12-01 |
| publisher | The John Paul II Catholic University of Lublin |
| record_format | Article |
| series | LingBaW |
| spelling | doaj-art-6d6edae013854ccf8862c854f154d0a42025-01-21T05:13:49ZengThe John Paul II Catholic University of LublinLingBaW2450-51882020-12-016110.31743/lingbaw.11831Word-based largest chunks for Agreement Groups processing: Cross-linguistic observationsLászló Drienkó0SZSZC-Jáky Székesfehérvár The present study reports results from a series of computer experiments seeking to combine word-based Largest Chunk (LCh) segmentation and Agreement Groups (AG) sequence processing. The AG model is based on groups of similar utterances that enable combinatorial mapping of novel utterances. LCh segmentation is concerned with cognitive text segmentation, i.e. with detecting word boundaries in a sequence of linguistic symbols. Our observations are based on the text of Le petit prince (The little prince) by Antoine de Saint-Exupéry in three languages: French, English, and Hungarian. The data suggest that word-based LCh segmentation is not very efficient with respect to utterance boundaries, however, it can provide useful word combinations for AG processing. Typological differences between the languages are also reflected in the results. https://czasopisma.kul.pl/index.php/LingBaW/article/view/11831cognitive computer modellingsegmentationsyntactic processinglanguage acquisition |
| spellingShingle | László Drienkó Word-based largest chunks for Agreement Groups processing: Cross-linguistic observations LingBaW cognitive computer modelling segmentation syntactic processing language acquisition |
| title | Word-based largest chunks for Agreement Groups processing: Cross-linguistic observations |
| title_full | Word-based largest chunks for Agreement Groups processing: Cross-linguistic observations |
| title_fullStr | Word-based largest chunks for Agreement Groups processing: Cross-linguistic observations |
| title_full_unstemmed | Word-based largest chunks for Agreement Groups processing: Cross-linguistic observations |
| title_short | Word-based largest chunks for Agreement Groups processing: Cross-linguistic observations |
| title_sort | word based largest chunks for agreement groups processing cross linguistic observations |
| topic | cognitive computer modelling segmentation syntactic processing language acquisition |
| url | https://czasopisma.kul.pl/index.php/LingBaW/article/view/11831 |
| work_keys_str_mv | AT laszlodrienko wordbasedlargestchunksforagreementgroupsprocessingcrosslinguisticobservations |