{ "paper_id": "2021", "header": { "generated_with": "S2ORC 1.0.0", "date_generated": "2023-01-19T01:07:53.517164Z" }, "title": "", "authors": [], "year": "", "venue": null, "identifiers": {}, "abstract": "", "pdf_parse": { "paper_id": "2021", "_pdf_hash": "", "abstract": [], "body_text": [ { "text": "14th BUCC Workshop at RANLP 2021 -Preface Comparable corpora are collections of documents that are comparable in content and form in various degrees and dimensions. This definition includes many types of parallel and non-parallel multilingual corpora, but also sets of monolingual corpora that are used for comparative purposes. Research on comparable corpora is active but used to be scattered among many workshops and conferences. The workshop series on \"Building and Using Comparable Corpora\" (BUCC) aims at promoting progress in this exciting field by bundling some of its research, thereby making it more visible and giving it a better platform.", "cite_spans": [], "ref_spans": [], "eq_spans": [], "section": "", "sec_num": null }, { "text": "The first 12 editions of the workshop took place in Africa (LREC'08 in Marrakech), America (ACL'11 in Portland and ACL'17 in Vancouver), Asia (ACL-IJCNLP'09 in Singapore, ACL-IJCNLP'15 in Beijing, LREC'18 in Miyazaki, Japan), Europe (LREC'10 in Malta, ACL'13 in Sofia, LREC'14 in Reykjavik, LREC'16 in Portoroz, RANLP'19 in Varna) and also on the border between Asia and Europe (LREC'12 in Istanbul). Due to the corona crisis, the 13th edition took place online as an LREC'20 workshop. This year's 14th edition was held again online and took place as an RANLP'21 workshop.", "cite_spans": [ { "start": 280, "end": 290, "text": "Reykjavik,", "ref_id": null }, { "start": 291, "end": 311, "text": "LREC'16 in Portoroz,", "ref_id": null }, { "start": 312, "end": 330, "text": "RANLP'19 in Varna)", "ref_id": null } ], "ref_spans": [], "eq_spans": [], "section": "", "sec_num": null }, { "text": "We would like to thank all people who in one way or another helped in making this workshop once again a success. We are especially grateful to Ruslan Mitkov, Galia Angelova, Ivelina Nikolova, Kiril Simov and the whole RANLP team for their excellent support.", "cite_spans": [], "ref_spans": [], "eq_spans": [], "section": "", "sec_num": null }, { "text": "Our special thanks go to Pushpak Bhattacharyya, Tomas Mikolov and Sujith Ravi for accepting to give invited presentations and to the members of the programme committee who did an excellent job in reviewing the submitted papers under strict time constraints. Last but not least we would like to thank our authors, presenters and all participants of the workshop. ", "cite_spans": [], "ref_spans": [], "eq_spans": [], "section": "", "sec_num": null } ], "back_matter": [], "bib_entries": { "BIBREF0": { "ref_id": "b0", "title": ":30 Syntax-aware Transformers for Neural Machine Translation: The Case of Text to Sign Gloss Translation Santiago Egea G\u00f3mez, Euan McGill and Horacio Saggion 13:30-13:55 Effective Bitext Extraction From Comparable Corpora Using a Combination of Three Different Approaches Stein\u00fe\u00f3r Steingr\u00edmsson, Pintu Lohar", "authors": [ { "first": "Aravind", "middle": [], "last": "Krishnan", "suffix": "" }, { "first": "Stefan", "middle": [], "last": "Ziehe", "suffix": "" }, { "first": "Franziska", "middle": [], "last": "Pannach", "suffix": "" }, { "first": "Caroline", "middle": [], "last": "Sporleder", "suffix": "" } ], "year": null, "venue": "00 On Pronunciations in Wiktionary: Extraction and Experiments on Multilingual Syllabification and Stress Prediction Winston Wu and David Yarowsky Session 7: Invited Presentation", "volume": "10", "issue": "", "pages": "55--71", "other_ids": {}, "num": null, "urls": [], "raw_text": "10:05-10:30 Employing Wikipedia as a resource for Named Entity Recognition in Morphologi- cally complex under-resourced languages Aravind Krishnan, Stefan Ziehe, Franziska Pannach and Caroline Sporleder 10:30-10:55 Semi-Automated Labeling of Requirement Datasets for Relation Extraction Jeremias Bohn, Jannik Fischbach, Martin Schmitt, Hinrich Sch\u00fctze and Andreas Vogelsang 10:55-11:20 A Dutch Dataset for Cross-lingual Multilabel Toxicity Detection Ben Burtenshaw and Mike Kestemont 11:20-12:10 Lunch Break Session 4: Invited Presentation 12:10-13:05 Language Modeling and AI Tomas Mikolov, Czech Institute of Informatics, Robotics and Cybernetics Session 5: Neural MT and Bitext Extraction 13:05-13:30 Syntax-aware Transformers for Neural Machine Translation: The Case of Text to Sign Gloss Translation Santiago Egea G\u00f3mez, Euan McGill and Horacio Saggion 13:30-13:55 Effective Bitext Extraction From Comparable Corpora Using a Combination of Three Different Approaches Stein\u00fe\u00f3r Steingr\u00edmsson, Pintu Lohar, Hrafn Loftsson and Andy Way 13:55-14:10 Coffee Break Session 6: Bitext Retrieval and Dictionary Extraction 14:10-14:35 Majority Voting with Bidirectional Pre-translation For Bitext Retrieval Alexander Jones and Derry Tanti Wijaya 14:35-15:00 On Pronunciations in Wiktionary: Extraction and Experiments on Multilingual Syl- labification and Stress Prediction Winston Wu and David Yarowsky Session 7: Invited Presentation 15:00-15:55 Large-scale Deep Learning for Low-Resource AI Sujith Ravi, SliceX AI 15:55-16:00 Closing x", "links": null } }, "ref_entries": { "TABREF1": { "html": null, "content": "
Employing Wikipedia as a resource for Named Entity Recognition in Morphologically complex under-resourced languages Monday, September 6, 2021 Times refer to UTC + 0 08:00-8:05 Opening Session 1: Invited Presentation 08:05-9:00 Machine Translation in Low Resource Setting Pushpak Bhattacharyya, IIT Bombay Session 2: Corpus Construction Aravind Krishnan, BUCC 2021 Workshop Programme 9:00-9:25 EM Corpus: a comparable corpus for a less-resourced language pair Manipuri-
English
Rudali Huidrom, Yves Lepage and Khogendra Khomdram
9:25-9:40Coffee Break
Session 3: Data Extraction and Corpus Annotation
9:40-10:05
", "text": "Machine Translation in Low Resource Setting Pushpak Bhattacharyya . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 Mining Bilingual Word Pairs from Comparable Corpus using Apache Spark Framework Sanjanasri JP, Vijay Krishna Menon, Soman KP and Krzysztof Wolk . . . . . . . . . . . . . . . . . . . . . . . . . . 2 Effective Bitext Extraction From Comparable Corpora Using a Combination of Three Different Approaches Steintor Steingrimsson, Pintu Lohar, Hrafn Loftsson and Andy Way . . . . . . . . . . . . . . . . . . . . . . . . . . 8 Syntax-aware Transformers for Neural Machine Translation: The Case of Text to Sign Gloss Translation Santiago Egea Gomez, Euan McGill and Horacio Saggion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18 Stefan Ziehe, Franziska Pannach and Caroline Sporleder . . . . . . . . . . . . . . . . . . 28 Semi-Automated Labeling of Requirement Datasets for Relation Extraction Jeremias Bohn, Jannik Fischbach, Martin Schmitt, Hinrich Schuetze and Andreas Vogelsang . . . 40 Majority Voting with Bidirectional Pre-translation For Bitext Retrieval Alexander Jones and Derry Tanti Wijaya . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46 EM Corpus: a comparable corpus for a less-resourced language pair Manipuri-English Rudali Huidrom, Yves Lepage and Khogendra Khomdram . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60 On Pronunciations in Wiktionary: Extraction and Experiments on Multilingual Syllabification and Stress Prediction Winston Wu and David Yarowsky . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68 A Dutch Dataset for Cross-lingual Multilabel Toxicity Detection Ben Burtenshaw and Mike Kestemont . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75 vii Mining Bilingual Word Pairs from Comparable Corpus using Apache Spark Framework Sanjanasri JP, Vijay Krishna Menon, Soman KP and Krzysztof Wolk", "num": null, "type_str": "table" } } } }