... 7.85 and 131.62 Terms that are equally likely to be used for all art forms include, on the one hand, terms like beautiful, wonderful, and awful, and on the other hand, meaningful and dreamy, and ... did visual art and film for classical on the one hand and some mood-related words on the other hand, restful, cheerful, while words with a film tendency related to plot, tension, and interestingness, ... analysed aesthetic wordusage for a variety of visual object classes, including visual art, faces, landscapes, patterns, and several design categories We found that aesthetic wordusage in the visual...
... differences of the pairs of synonyms when translating Spelling errors: Spellingerrors in translation are also the common errors like spellingerrors in writing When people have to translate a Vietnamese ... translation and Vietnamese-English translation This thesis focuses on analyzing the errors on verb tenses andword choices found in the VietnameseEnglish translation part of the final tests and the ... Thap University and making some suggestions to help avoid those errors Significance of the study The thesis will help the students recognize their common errors on verb tenses andword choices in...
... background of errorsandword stress In errors, this deals with notion of error, distinction among errors, mistakes, slips and attempts, error analysis and the importance of learners errors In word stress, ... frequency of students errors in word stress Figure 5: Students common errors in learning word stress Figure : Students expectation towards the teaching of word stress Figure 7: Students errors from the ... most common errors made by Vietnamese adult learners and some others by M.A candidates focusing on students common errors in grammar (Trinh Phan Thi Phong Lan-2005) and students errors on stress...
... follows: Errorsand causes in the pronunciation of two-syllable words 26% (13/50) Errorsand causes in the pronunciation of three-syllable and more than three-syllable words 86% (43/50) Errorsand ... Common errors in the pronunciation of English word stress 34 II.4.2.1 Errorsand causes in the pronunciation of three-syllable and more than three-syllable words .34 II.4.2.2 Errorsand ... adjectives Errorsand causes in putting stress on the mixture of three-syllable words and more than three-syllable words Errorsand causes in putting stress on the mixture of both two and threesyllable...
... crisis would occur, those unfamiliar with the procedures would not know how to handle the situation A B C D 23 Standing among so many strangers, the frightened child began to sob uncontrollable ... sought with his company A B C D 32 Ms Thoa and her children hope go hiking in the mountains this weekend if the weather permits A B C D 33 The political candidate talked as if she has already been ... house was infested with termites A B C D ANSWERS AND EXPLANATIONS (B) should be ghost Ghost is an adjective in this sentence modifying the noun stories and thus cannot be in the plural form (B) should...
... admit c adopt d improve 40.a ethnic b enjoy c legal d measure 31.a comprise b sandy c circle d northern @ VOCABULARY: WORD FORM He has been very interested in - - A biology b biological c biologist ... for what you have done A responsible b responsibility c responsibly d irresponsible These quick and easy - - can be effective in the short term A solve b solvable c solutions d solvability He ... twins, they are seldom in - - A agree b agreeable c agreement d agreeably 11 The more - - and positive you look, the better you will feel A confident b confide c confidence d confidently...
... 318 Word Games: Hangman andWord Search newWord.x = 400; newWord.y = i*spacing+offset.y; newWord.width = 140; newWord.height = spacing; newWord.text = usedWords[i]; newWord.selectable = false; wordsSprite.addChild(newWord); ... the list of words to the right 314 Chapter 9: Word Games: Hangman andWord Search So we’ll start with an empty grid and select random words from the list, random positions, and random directions ... of word list var wordListCopy:Array = wordList.concat(); usedWords = new Array(); Now it is time to add words into the grid This is done by choosing a random word, random location, and a random...
... unnecessary and even confusing to place an ´ e ı ´ ´ accent-mark over every written word, words are grouped into classes Words coming into these classes not need the written accent, and only the ... escritos) 2.5 Spelling traps (Trampas de ortograf´a) ı ´ ı 2.6 Orthographical changes with y and o (Cambios ortograf´cos y y o) 2.1 Diphthongs and triphthongs (Spelling these two words is just ... they are in the word When they are in an initial position, the b of burro is the same as the b of but, and the same goes for the v in vaca However, when b and v are within a wordand especially...
... various English words The Latin words serve as roots, providing the core meaning of the words; prefixes, suffixes, and other alterations give each word its distinct meaning The word roots are listed ... the Greek words that are used to create various English words The Greek words serve as roots, providing the core meaning of the words; prefixes, suffixes, and other alterations give each word its ... properly verbum word verbatim (adv) word for word The student failed because she had copied an article verbatim instead of writing her own essay Common Greek Word Roots Many other English words are...
... consumer technologies and services This annual research is intended to help consumer technology executives better understand the purchase patterns and use of consumer technologies and to gain deeper ... of movie streaming, photo and video storage, and music streaming in usage (Figure 7) However, there are significant differences by country For example, Brazil, Sweden and South Africa use online ... uniform in consumers’ device purchase and use The consumer base and buyer values are fragmented due to demographics (especially age and geography), social factors and more Thus, companies must be...
... (the word B is the head of the word A) and C A (the word C is the head of the word A), where B A is the dependency proposed by the parsers and C A is the dependency proposed by the gold standard ... Of Errors The previous section tries to evaluate the precision of the approach for the identified error candidates However, it remains unclear how many of the errors are found and how many errors ... small and therefore these cases are the most likely candidates when looking for errors Automatic Correction of Errors In this section we propose our algorithm for automatic correction of errors, ...
... fine-grained word sense assignment tasks has ranged between 69% (Kilgarriff and Rosenzweig, 2000) for a lexical sample using the HECTOR dictionary and 78.6.% using WordNet (Landes et al., 1998) in all-words ... (Rubenstein and Goodenough, 1965; Miller and Charles, 1991), and human judgments have previously been used successfully to study synonymy and nearsynonymy (Miller and Charles, 1991; Bybee and Eddington, ... similarity of a word s usages, rather than sticking to the extremes There is variation across words, depending on the relatedness of each word s usages Figure shows the judgments for the words bar.n,...
... most frequent preceding and following words of a token word List P rev containing the most frequent (top 200) previous words (wi−1 or wi−2 if wi is the first word of a NE) and List N ext contains ... identify the important words 4.1 Class Independent Important Word Selection We define context words as those which occur in proximity of a NE In other words, context words are the words present in the ... context words For all the context words, its N weight is calculated as the ratio between the occurrence of the word as a context wordand its total number of occurrence in the corpus The context words...
... reading and lowering both recall and precision Bad predictors are the verbs “to have” and “to be” and some prepositions such as “with”, which can be used with metonymic (talk with Hungary) and literal ... highly predictive content word heads as (a) function words are not included in the thesaurus and (b) unpredictive content word heads like “have” or “be” are very frequent and normally already covered ... between possible word senses/interpretations However, whereas a classic (supervised) WSD algorithm is trained on a set of labelled instances of one particular wordand assigns word senses to new...
... References R Ando and T Zhang 2005 A framework for learning predictive structures from multiple tasks and unlabeled data JMLR, 6:1817–1853 R Ando 2006 Applying alternating structure optimization to word ... competing methods2 on these three words Also, for the case of word “do,” which had roughly 10 times more data than the other word senses in its cluster (E.g., “die” and “save”), T RANS F EAT gave ... Table and are significantly better at the 5% significance level (Paired t-test) than the baseline feature selection algorithm and the SVM It is comparable in accuracy to Ando[CoNLL’06] Settings and...
... stemmed (separated) surface form, part-of-speech14 and frequencies from the training corpus for bigrams/merging of wordand word+ 1, word as true prefix, word+ 1 as true suffix, plus frequency comparisons ... system might generate the “stem and inflection” corresponding to and his brother Viewing andand his as inflection is problematic since a mapping from the English phrase and his brother to the Arabic ... for Computational Linguistics John Lafferty, Andrew McCallum, and Fernando Pereira 2001 Conditional random fields: Probabilistic models for segmenting and labeling sequence data In Proceedings of...
... favorites, and why? Create an online forum for staff to share ideas and tips about each of the databases, and save them in an online reference folder so new staff members can get up and running ... electronic resource, plus name and picture if willing) Be sure to rotate these “reviews” regularly Step Know your customer Product knowledge goes hand-in-hand with understanding the customer Look at ... all your outreach and discussion (continued on outside panel) Quick field test! Is it really that quick and easy to find your homepage and online resources? Go to the coffee shop and find a laptop...
... on the distribution of adjacent words (or characters) when retrieving units of collocation and the co-occurrence frequencies andword order between a key string and other strings when retrieving ... useful for the languages without word delimiters, and for the other languages as well 2.2 Examine how often each possible combinations of str~ and stri co-occurs, and extract stri if the frequency ... Meeting of ACL, pages 17-22 Makoto Nagao and Shinsuke Mori 1994 New Method of n-gram statistics for large number of n and automatic extranetion of words and phrases from large text data of Japanese...
... C in a standard form [30], as shown in Figure w(k) ∈ R p1 and z(k) ∈ Rm1 are the exogenous p1 inputs and m1 outputs (to control), whereas u(k) ∈ R p2 and y(k) ∈ Rm2 are the p2 control and m2 measure ... where xk and y k are associated to AZ as in Proposition 26 Proof Lemmas 21 and 27 can be used in the same way they are used to compute the derivative ∂H/∂Z and ∂|λk |/∂Z in Propositions 20 and 26 ... sensitivities The wordlengths used are 16, 12, and bits However, bits are not enough to preserve the stability of Z1 The realizations Z5 and Z9 exhibit the lowest transfer function and pole error...