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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 4 5 Hits 81 – 96 of 96 81 A one-pass valency-oriented chunker for German Adrien Barbaresi In: http://hal-ens-lyon.archives-ouvertes.fr/docs/01/02/35/55/PDF/ABarbaresi_LTC13_Valency-Chunker-German-paper_v2.pdf BASE Show details 82 Training Multi-Classifiers for Chinese Unknown Word Detection Chooi-ling Goh; Masayuki Asahara; Yuji Matsumoto In: http://www.colips.org/journal/volume15/JCLC_V15_N1_1.pdf BASE Show details 83 ABSTRACT Noun Group and Verb Group Identification for Hindi Smriti Singh; Om P. Damani; Vaijayanthi M. Sarma In: http://aclweb.org/anthology/C/C12/C12-1152.pdf BASE Show details 84 A Feature Terms based Method for Improving Text Summarization with Supervised POS Tagging Suneetha Manne In: http://research.ijcaonline.org/volume47/number23/pxc3880541.pdf BASE Show details 85 Noun Group and Verb Group Identification for Hindi ABSTRACT Smriti Singh; Om P. Damani; Vaijayanthi M. Sarma In: http://www.cse.iitb.ac.in/~damani/papers/Coling12/colingPOStagFinal.pdf Abstract: We present algorithms for identifying Hindi Noun Groups and Verb Groups in a given text by using morphotactical constraints and sequencing that apply to the constituents of these groups. We provide a detailed repertoire of the grammatical categories and their markers and an account of their arrangement. The main motivation behind this work on word group identification is to improve the Hindi POS Tagger’s performance by including strictly contextual rules. Our experiments show that the introduction of group identification rules results in improved accuracy of the tagger and in the resolution of several POS ambiguities. The analysis and implementation methods discussed here can be applied straightforwardly to other Indian languages. The linguistic features exploited here are drawn from a range of well-understood grammatical features and are not peculiar to Hindi alone. Keyword: chunking; noun group; POS tagging; verb group. 1 Introduction URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.307.8563 http://www.cse.iitb.ac.in/~damani/papers/Coling12/colingPOStagFinal.pdf BASE Hide details 86 Chunking by coarticulation in Music-Related Gestures Rolf Inge Godøy; Er Refsum Jensnius; Kristian Nymoen In: http://www.gw2009.de/page6/abstracts/Godoy.pdf BASE Show details 87 Subtask: Identify secondary structured Prediction from Yasemin Altun In: http://agbs.kyb.tuebingen.mpg.de/wikis/bg/siso2008/Altun.pdf BASE Show details 88 Open-Source Boundary-Annotated Corpus for Arabic Speech and Language Processing Claire Brierley; Majdi Sawalha; Eric Atwell In: http://www.lrec-conf.org/proceedings/lrec2012/pdf/240_Paper.pdf BASE Show details 89 Word count (main text) – 1,005 Correspondence address: Merim Bilalić; Fernand Gobet In: http://people.brunel.ac.uk/~hsstffg/preprints/Chunks_and_instruction_short-3.pdf BASE Show details 90 ARCHITECTURAL DESIGNING AND ANALYSIS OF NATURAL LANGUAGE PLAGIARISM DETECTION MECHANISM Amandeep Dhir; Gaurav Arora; Anuj Arora In: http://www.jatit.org/volumes/research-papers/Vol4No12/3Vol4No12.pdf BASE Show details 91 Identification of English Prepositional Phrases within Business Domain for Machine Translation ⋆ Jianjun Ma A; Wenfeng Sheng A; Degen Huang B. BASE Show details 92 Chunking or Not Chunking? How Do We Find Words in Artificial Language Learning? Ana Franco; Arnaud Destrebecqz In: http://141.14.165.6/CogSci09/papers/625/paper625.pdf BASE Show details 93 Learning Simple Statistics for Language Comprehension and Production: The CAPPUCCINO Model Stewart M. Mccauley; Morten H. Christiansen In: http://csjarchive.cogsci.rpi.edu/Proceedings/2011/papers/0363/paper0363.pdf BASE Show details 94 Identification of English Prepositional Phrases within Business Domain for Machine Translation? Jianjun Ma A; Wenfeng Sheng A; Degen Huang B... In: http://www.joics.com/publishedpapers/2013_10_15_4849_4860.pdf BASE Show details 95 On the resolution of ambiguities 1 On the Resolution of Ambiguities in the Extraction of Syntactic Categories through Chunking Daniel Freudenthal; Julian M. Pine; Fernand Gobet In: http://bura.brunel.ac.uk/bitstream/2438/802/1/freudenthal-CSR-all.pdf BASE Show details 96 Statistical natural language processing and corpus-based computational linguistics: An annotated list of resources https://nlp.stanford.edu/links/statnlp.html Topic: Computational linguistics; Corpus linguistics; Lexicography Language: Bosnian; Chinese, Mandarin; Croatian; ... Source type: Link collections Access: free access Show details  Page: 1 2 3 4 5

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