000			02950cam a22003975i 4500
999			_c27909 _d27880
001			017771992
003			EG-ScBUE
005			20191210133941.0
008			150311t20142014caua f b 000 0deng d
020			_a9781627050135
035			_a(UkCU)6103054
040			_aUWW _beng _erda _cUWW _dOCLCO _dOCLCQ _dUkCU _dEG-ScBUE
082	0	4	_a428.00785 _bLEA _222
100	1	0	_aLeacock, Claudia, _eauthor.
245	1	0	_aAutomated grammatical error detection for language learners / _cClaudia Leacock, CTB McGraw-Hill [and three others].
250			_aSecond edition.
264		1	_a[San Rafael, California] : _bMorgan and Claypool Publishers, _c[2014]
264		4	_cc2014
300			_axv, 154 pages : _billustrations ; _c24 cm.
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
490	0		_aSynthesis lectures on human language technologies, _x19474040 ; _v25
500			_aIncludes appendices.
504			_aIncludes bibliographical references.
520			_aIt has been estimated that over a billion people are using or learning English as a second or foreign language, and the numbers are growing not only for English but for other languages as well. These language learners provide a burgeoning market for tools that help identify and correct learners' writing errors. Unfortunately, the errors targeted by typical commercial proofreading tools do not include those aspects of a second language that are hardest to learn. This volume describes the types of constructions English language learners find most difficult - constructions containing prepositions, articles, and collocations. It provides an overview of the automated approaches that have been developed to identify and correct these and other classes of learner errors in a number of languages. Error annotation and system evaluation are particularly important topics in grammatical error detection because there are no commonly accepted standards. Chapters in the book describe the options available to researchers, recommend best practices for reporting results, and present annotation and evaluation schemes. The final chapters explore recent innovative work that opens new directions for research. It is the authors' hope that this volume will contribute to the growing interest in grammatical error detection by encouraging researchers to take a closer look at the field and its many challenging problems.
650		7	_aEnglish language _xErrors of usage _xComputer-assisted instruction. _2BUEsh
650		7	_aEnglish language _xStudy and teaching _xForeign speakers _xComputer-assisted instruction. _2BUEsh
650		7	_aEnglish language _xGrammar _xComputer-assisted instruction for foreign speakers. _2BUEsh
653			_bHHUUEENN _cNovember2019
655			_vReading book
700	1		_aChodorow, Martin, _eauthor.
700	1		_aGamon, Michael, _eauthor.
700	1		_aTetreault, Joel, _eauthor.
942			_2ddc _cBB