... Young Asians are not so as their American counterparts.A. Rome B. Roman C. romantic D. romanticize75. All of my students appreciate the ______ of English learning. A. importance B. important ... expect B. expecting C. expectation D. expects 80 . With the ______ of weather, the journey was wonderful. A. except B. exception C. excepting D. excepts 81 . The food in this restaurant was rather ... reasonably C. reasoning D. reason67. There are a lot of ______ jobs in this company.A. attracted B. attraction C. attractive D. attract 68. Fortunately, the plane landed ______ after the violent...
... DETERMINATION OFPARTSOFSPEECH 61 DETERMINATION OFPARTSOFSPEECH 63 TASK 2: TABULATION OF SPECIAL-PURPOSE WORDS WHICH ARE NOT COVERED BY RULES A, B, OR C For Task 2, a subset of the dictionary ... believed to be adequate to main- tain the goal of 95 per cent accuracy. DETERMINATION OFPARTSOFSPEECH 55 DETERMINATION OFPARTSOFSPEECH 65 [Mechanical Translation and Computational ... into affix and kernel parts and assigned a part ofspeech on the basis of the part -of- speech implications of the affixes and the length of the remaining kernel. An accuracy of 95 per cent is achieved...
... 14:1 78 210, 1 982 .V. M. Homes, J. O’Regan, and K.G. Evensen. Eyefixation patterns during the reading of relativeclause sentences. Journal of Verbal Learningand Verbal Behavior, 20:417–430, 1 981 .J. ... Computational LinguisticsModeling Human Sentence Processing Data with a Statistical Parts- of- Speech TaggerJihyun ParkDepartment of LinguisitcsThe Ohio State UniversityColumbus, OH, USApark@ling.ohio-state.eduAbstractIt ... adequate account of recur-sive syntactic structure is an essential component of any model of the behaviour. In this study, wetested a bigram POS tagger on different types of structural ambiguities...
... performpoorly on Twitter (Finin et al., 2010).One of the most fundamental partsof the linguis-tic pipeline is part -of- speech (POS) tagging, a basicform of syntactic analysis which has countless appli-cations ... to test the efficacy of this feature set for part -of- speech tagging given lim-ited training data. We randomly divided the set of 1 ,82 7 annotated tweets into a training set of 1,000(14,542 tokens), ... this way, we tag hashtags with theirappropriate part of speech, i.e., as if they did not startwith #. Of the 4 18 hashtags in our data, 1 48 (35%)were given a tag other than #: 14% are proper...
... and92.4% (86 .8% ) of reconstruction parse Praexpansions come directly from the verbatimparses Pva(from columns one and two of Ta-ble 1).• Column three of Table 1 shows the rule typesmost often ... ver-batim text. Of 9, 082 propagated deleted repetition/ revisionphrase nodes from Pva, we found that 31.0% of ar-guments within were ARG1, 22.7% of argumentswere ARG0, 8. 6% of nodes were ... Automaticlabeling of semantic roles. Computational Linguis-tics, 28( 3):245– 288 .Daniel Gildea and Martha Palmer. 2002. The neces-sity of parsing for predicate argument recognition.In Proceedings of the...
... 19.0HMM 17 .8 19.2IBM-3 17.7 18. 8IBM-4 17 .8 18. 8IBM-5 17.6 18. 9corpus (Zens and Ney, 2004). In this section, wedesign a transducer to rescore the ASR word graphusing the phrase-based model of the ... models.4 68 Table 2: Recognition WER [%] using N-bestrescoring method.Models Dev EvalMT 47.1 50.5ASR 19.3 21.3ASR+MT IBM-1 17 .8 19.0HMM 18. 2 19.2IBM-3 17.1 18. 4IBM-4 17.1 18. 3IBM-5 16.6 18. 2Phrase-based ... with integrated speech, twosources of information are available to recognizethe speech input: the target language speech and the given source language text. The targetlanguage speech is a human-produced...