1. Not all paragraphs have a topic sentence. Sometimes, a paragraph continues a topic introduced in the previous paragraph. 2. In the first paragraph of an essay, a story or an article, the topic sentence may follow ahook. (e.g. Older Americans are on the move. The questions, is, th...
Thus, the possessor NP indicates the setting or background of the sentence, and its function can be circumscribed by English phrases such as given X, as for X, with regard to X, speaking about X, as far as X is concerned, and the like. Given this, the standard form of the Topic ...
..succeedindoingsthin1960ssatisfypeople'sneedsbefarawayfrom...trytodosth Scanthepassagein1a,thenanswerthequestion.What’sthemainideaofthepassage?A.BeijingisthecapitalofChina.B.Beijinghasdevelopedrapidly.C.SomeinformationaboutoldBeijing.D.MytriptoBeijing.Underlinethetopicsentenceofeachparagraph.
1.Kangkangandhisteamaregoingtohaveasoccergameagainst___C_la_ss_F_iv_e_onSaturday.2.KangkangasksMichaeltojointhembecauseateammate___.fellill 3.Michaelisnotgoodat__(p_la_yi_ng_)_so_c_ce_r___,buthelikestohaveatry.4.MichaelandKangkangaregoingto_p_ra_c_tic_e___forthegame.ØButone...
sentence. 6. The whole 6. Students make sure 6. Teacher lets students read class work they can read correctly. la in pairs. 7. The whole 7. Students read at the 7. Teacher plays la without class work same speed and try to stopping. Presentation imitate its pronunciation (10 minutes) ...
By disregarding the contextual information of words within a sentence, the bag-of-words approach may not effectively represent the documents (Grootendorst, 2022). To address this problem, text embedding techniques such as Bidirec- tional Encoder Representations from Transformers (BERT) (Devlin et...
This is the process of separating a sentence with continuous Chinese characters into several meaningful words. In our method, NLPIR is adopted for Chinese word segmentation. It is a mainstream Chinese word segmentation system and can divide Chinese text into words and POS tagging [19]. Each post...
To do so, the author used four classification models: logistic regression model based on count vectorizer, support vector machine based on text content features, a feedforward network using GloVe word embeddings, and an RNN-based LSTM sentence encoder with a multilayer perceptron classifier. Yang ...
In this study, the selected embedding model was all-mpnet-base-v2 because it was the highest-quality model at the time of the research (i.e., the highest performance on sentence embedding for 14 different datasets with the highest average performance). all-mpnet-base-v2 is an all-around ...
Diversify your test by using a variety of sentence structures, vocabulary and intonation. Therefore, cultivating and using vocabulary in this topic is extremely important. IDP will introduce you to the Shopping vocabulary system below. How often do you go shopping? What are some problems of ...