{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T04:33:03Z","timestamp":1750307583149,"version":"3.41.0"},"reference-count":34,"publisher":"Association for Computing Machinery (ACM)","issue":"4","license":[{"start":{"date-parts":[[2009,12,1]],"date-time":"2009-12-01T00:00:00Z","timestamp":1259625600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["ACM Transactions on Asian Language Information Processing"],"published-print":{"date-parts":[[2009,12]]},"abstract":"<jats:p>In the last two decades, significant effort has been put into annotating linguistic resources in several languages. Despite this valiant effort, there are still many languages left that have only small amounts of such resources. The goal of this article is to present and investigate a method of propagating information (specifically mention detection) from a resource-rich language into a relatively resource-poor language such as Arabic. Part of the investigation is to quantify the contribution of propagating information in different conditions based on the availability of resources in the target language. Experiments on the language pair Arabic-English show that one can achieve relatively decent performance by propagating information from a language with richer resources such as English into Arabic alone (no resources or models in the source language Arabic). Furthermore, results show that propagated features from English do help improve the Arabic system performance even when used in conjunction with all feature types built from the source language. Experiments also show that using propagated features in conjunction with lexically derived features only (as can be obtained directly from a mention annotated corpus) brings the system performance at the one obtained in the target language by using feature derived from many linguistic resources, therefore improving the system when such resources are not available. In addition to Arabic-English language pair, we investigate the effectiveness of our approach on other language pairs such as Chinese-English and Spanish-English.<\/jats:p>","DOI":"10.1145\/1644879.1644884","type":"journal-article","created":{"date-parts":[[2010,1,5]],"date-time":"2010-01-05T15:05:08Z","timestamp":1262703908000},"page":"1-21","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":5,"title":["Cross-Language Information Propagation for Arabic Mention Detection"],"prefix":"10.1145","volume":"8","author":[{"given":"Imed","family":"Zitouni","sequence":"first","affiliation":[{"name":"IBM T. J. Watson Research Center"}]},{"given":"Radu","family":"Florian","sequence":"additional","affiliation":[{"name":"IBM T. J. Watson Research Center"}]}],"member":"320","published-online":{"date-parts":[[2009,12]]},"reference":[{"key":"e_1_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.3115\/1220175.1220242"},{"key":"e_1_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/1644879.1644883"},{"key":"e_1_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.5555\/234285.234289"},{"key":"e_1_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.3115\/981344.981378"},{"volume-title":"Proceedings of the 2nd International Workshop on Spanish Language Processing and Language Technologies (SNLP\u201901)","author":"Cabezas C.","key":"e_1_2_1_5_1"},{"key":"e_1_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/89.817452"},{"key":"e_1_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.5555\/203987.203991"},{"key":"e_1_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.3115\/981344.981361"},{"volume-title":"Proceedings of the Human Language Technology Conference of the North American Chapter of the Association for Computational Linguistics (HLT-NAACL\u201904)","author":"Diab M.","key":"e_1_2_1_9_1"},{"key":"e_1_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.3115\/1073083.1073126"},{"volume-title":"Proceedings of the Human Language Technology Conference of the North American Chapter of the Association for Computational Linguistics (HLT-NAACL\u201904)","author":"Florian R.","key":"e_1_2_1_11_1"},{"key":"e_1_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1007\/BF00136984"},{"key":"e_1_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.3115\/1073083.1073086"},{"key":"e_1_2_1_14_1","doi-asserted-by":"crossref","unstructured":"Grefenstette G. 1998. Cross-Language Information Retrieval. Kluwer Academic Publishers. Grefenstette G. 1998. Cross-Language Information Retrieval . Kluwer Academic Publishers.","DOI":"10.1007\/978-1-4615-5661-9"},{"volume-title":"Proceedings of the Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL\u201907)","author":"Huang F.","key":"e_1_2_1_15_1"},{"volume-title":"Proceedings of the Workshop on Linguistic Knowledge Acquisition and Representation: Bootstrapping Annotated Language Data (LREC\u201902)","author":"Hwa R.","key":"e_1_2_1_16_1"},{"key":"e_1_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.3115\/1119355.1119381"},{"key":"e_1_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-30194-3_13"},{"volume-title":"TC-STAR Workshop on Speech-to-Speech Translation (SST\u201906)","author":"Lee Y.-S.","key":"e_1_2_1_19_1"},{"key":"e_1_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.3115\/1075096.1075147"},{"key":"e_1_2_1_21_1","unstructured":"Mihalcea R. 1998. Semcor semantically tagged corpus. http:\/\/www.cse.unt.edu\/rada\/downloads.html. Mihalcea R. 1998. Semcor semantically tagged corpus. http:\/\/www.cse.unt.edu\/rada\/downloads.html."},{"key":"e_1_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/219717.219748"},{"key":"e_1_2_1_23_1","unstructured":"NIST. 2007. The ACE evaluation plan. www.nist.gov\/speech\/tests\/ace\/index.htm. NIST . 2007. The ACE evaluation plan. www.nist.gov\/speech\/tests\/ace\/index.htm."},{"key":"e_1_2_1_24_1","unstructured":"Noreen E. W. 1989. Computer-Intensive Methods for Testing Hypotheses. John Wiley & Sons. Noreen E. W. 1989. Computer-Intensive Methods for Testing Hypotheses . John Wiley & Sons."},{"key":"e_1_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.3115\/1073083.1073135"},{"volume-title":"Proceedings of the ACL Workshop on Combining Symbolic and Statistical Approaches to Language (ACL\/EACL\u201994)","author":"Ramshaw L.","key":"e_1_2_1_26_1"},{"volume-title":"Proceedings of the 3rd Workshop on Very Large Corpora (WVLC\u201995)","author":"Ramshaw L.","key":"e_1_2_1_27_1"},{"key":"e_1_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.3115\/1072228.1072298"},{"key":"e_1_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.3115\/1118853.1118877"},{"key":"e_1_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.3115\/977035.977059"},{"key":"e_1_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.3115\/1073445.1073478"},{"key":"e_1_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.3115\/1072133.1072187"},{"volume-title":"Proceedings of the Joint Meeting of the Conference on Empirical Methods in Natural Language Processing (EMNLP\u201908)","author":"Zitouni I.","key":"e_1_2_1_33_1"},{"volume-title":"Proceedings of the ACL Workshop on Computational Approaches to Semitic Languages (CASL\u201905)","author":"Zitouni I.","key":"e_1_2_1_34_1"}],"container-title":["ACM Transactions on Asian Language Information Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/1644879.1644884","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/1644879.1644884","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T12:41:18Z","timestamp":1750250478000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/1644879.1644884"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2009,12]]},"references-count":34,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2009,12]]}},"alternative-id":["10.1145\/1644879.1644884"],"URL":"https:\/\/doi.org\/10.1145\/1644879.1644884","relation":{},"ISSN":["1530-0226","1558-3430"],"issn-type":[{"type":"print","value":"1530-0226"},{"type":"electronic","value":"1558-3430"}],"subject":[],"published":{"date-parts":[[2009,12]]},"assertion":[{"value":"2009-03-01","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2009-09-01","order":1,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2009-12-01","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}