Directions: For each blank in the following passage there are four words or phrases marked A. B. C and D. Fill in each blank with the word or phrase that best fits the context Play is a primary way that children learn about themselves and the world around them. The failure to play is...
根据后文“The GPI, they point out, is a subjective measure."可知主流经济学家对 GDP 和 GPI的增长情况无动于衷, 他们指出,GPI是一种主观衡量。 故选A。 【54题详解】 考查动词短语辨析。句意: 但生态经济学家警告人们不要自满。 A.call for要求;B. contribute to 有助于; C. warn against 警告;...
This work aims at finding discriminative multi-word features or phrases from a given set of text documents. We use a modified Shapley value measure to select the list of discriminative features. The feature selection algorithm is employed on 20-newsgroup and Wikipedia datasets, along with several...
Some nouns can be used after the numeral “一”to act temporarily as measure word, expressing a large quantity. For example: 一书包的书 (yì shū bāo de shū) a bag of books 一桌子的菜 (yì zhuō zǐ de cài) a table of dishes When the numeral “一”is used in a numeral-measure...
After the one-time initialization, a FrozenPhrases will be much smaller and faster than using the full Phrases model. Examples >>> from gensim.test.utils import datapath >>> from gensim.models.word2vec import Text8Corpus >>> from gensim.models.phrases import Phrases, ENGLISH_CONNECTOR_WORDS ...
C and D. Fill in each blank with the word or phrase that best fits the context. A new research suggests that animals have a much higher level of brainpower than once thought. If animals do have intelligence, how do scientists measure it? Before defining animals'intelligence, scientists ...
II. Procedures: Step1.Fill in the table below. You can use the dictionary to help you. Step 2.Do exercise for Ex.2 on page4 Answer each question by using the correct new word in this unit: 1.How do you measure the length of a race round a race track?___ 2.How ...
importgensim.downloaderasapi# load pre-trained word-vectors from gensim-dataword_vectors = api.load("glove-wiki-gigaword-100")# Check the "most similar words", using the default "cosine similarity" measure.result = word_vectors.most_similar(positive=['woman','king'], negative=['man']) ...
IMOSMCPthesituationswherephrasesusingthewordcanappearmakeitclearwhethera possibilityisreferredto.Inanambiguouscontext,however,say,forexample:QUESTION. DoIhavepermissiontousetheshallowdraftfairwayatthistime?Donotsay:CanIuse theshallowdraftfairwayatthistime?ifyouareaskingforapermission.(Thesameapplies tothewordmay...
enervating humility [enervating = weaken or destroy the strength] enfeebled activity enforced silence engaging affability engendered feelings engrossing purpose engulfing waters enhanced reputation enigmatical silence enlightened solicitude enlivened monotony ...