Cedar population
The author mentions three hypotheses advanced by scientists in order to explain the decline in the yellow cedar population. However, the lecture casts doubt on the hypothesis put forward by the author and doesn’t consider it adequate to explain the decreasing population.
Firstly, the author asserts that certain insects, mainly the cedar bark beetle, feed on the bark of trees during their larval stages, eventually killing the tree. But, the lecturer doesn't agree with this point and states that yellow cedar trees are mostly resistant to insect attacks as their bark releases chemicals to evade the insects. Hence, it is unlikely that insects have any role in killing them.
Second, the author points out that brown bears claw on cedar bark in order to obtain wood that is rich in sugar. However, the lecturer mentions that bears are only present on the mainland and not on islands, but the population of cedar is decreasing on islands as well. This indicates that bears are not responsible for the decline in tree populations.
Finally, the author puts forward an argument that, due to climatic changes, the root system of yellow cedar has become susceptible to frost damage. But, the lecturer refutes this point and states that lower elevations and less cold areas have witnessed more damaging trees as compared to the higher elevation areas, hence debunking the claim of the third hypothesis.
Grammar and spelling errors:
Line 2, column 181, Rule ID: EN_CONTRACTION_SPELLING
Message: Possible spelling mistake found
Suggestion: doesn't
...lly killing the tree. But, the lecturer doesnt agree with this point and states that y...
^^^^^^
Transition Words or Phrases used:
but, finally, first, firstly, hence, however, second, third, well
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 6.0 15.1003584229 40% => More to be verbs wanted.
Auxiliary verbs: 0.0 9.8082437276 0% => OK
Conjunction : 6.0 13.8261648746 43% => More conjunction wanted.
Relative clauses : 9.0 11.0286738351 82% => OK
Pronoun: 17.0 43.0788530466 39% => OK
Preposition: 29.0 52.1666666667 56% => More preposition wanted.
Nominalization: 5.0 8.0752688172 62% => OK
Performance on vocabulary words:
No of characters: 1175.0 1977.66487455 59% => More number of characters wanted.
No of words: 230.0 407.700716846 56% => More content wanted.
Chars per words: 5.10869565217 4.8611393121 105% => OK
Fourth root words length: 3.89432290496 4.48103885553 87% => OK
Word Length SD: 2.4329535055 2.67179642975 91% => OK
Unique words: 131.0 212.727598566 62% => More unique words wanted.
Unique words percentage: 0.569565217391 0.524837075471 109% => OK
syllable_count: 353.7 618.680645161 57% => syllable counts are too short.
avg_syllables_per_word: 1.5 1.51630824373 99% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 2.0 9.59856630824 21% => OK
Article: 9.0 3.08781362007 291% => Less articles wanted as sentence beginning.
Subordination: 0.0 3.51792114695 0% => More adverbial clause wanted.
Conjunction: 1.0 1.86738351254 54% => OK
Preposition: 0.0 4.94265232975 0% => More preposition wanted as sentence beginning.
Performance on sentences:
How many sentences: 10.0 20.6003584229 49% => Need more sentences. Double check the format of sentences, make sure there is a space between two sentences, or have enough periods. And also check the lengths of sentences, maybe they are too long.
Sentence length: 23.0 20.1344086022 114% => OK
Sentence length SD: 42.6953159023 48.9658058833 87% => OK
Chars per sentence: 117.5 100.406767564 117% => OK
Words per sentence: 23.0 20.6045352989 112% => OK
Discourse Markers: 6.5 5.45110844103 119% => OK
Paragraphs: 4.0 4.53405017921 88% => OK
Language errors: 1.0 5.5376344086 18% => OK
Sentences with positive sentiment : 3.0 11.8709677419 25% => More positive sentences wanted.
Sentences with negative sentiment : 7.0 3.85842293907 181% => OK
Sentences with neutral sentiment: 0.0 4.88709677419 0% => More facts, knowledge or examples wanted.
What are sentences with positive/Negative/neutral sentiment?
Coherence and Cohesion:
Essay topic to essay body coherence: 0.208345571076 0.236089414692 88% => OK
Sentence topic coherence: 0.0800787599717 0.076458572812 105% => OK
Sentence topic coherence SD: 0.0855112679176 0.0737576698707 116% => OK
Paragraph topic coherence: 0.118105211816 0.150856017488 78% => OK
Paragraph topic coherence SD: 0.070069660318 0.0645574589148 109% => OK
Essay readability:
automated_readability_index: 14.1 11.7677419355 120% => OK
flesch_reading_ease: 56.59 58.1214874552 97% => OK
smog_index: 8.8 6.10430107527 144% => OK
flesch_kincaid_grade: 11.1 10.1575268817 109% => OK
coleman_liau_index: 12.65 10.9000537634 116% => OK
dale_chall_readability_score: 9.03 8.01818996416 113% => OK
difficult_words: 62.0 86.8835125448 71% => More difficult words wanted.
linsear_write_formula: 11.0 10.002688172 110% => OK
gunning_fog: 11.2 10.0537634409 111% => OK
text_standard: 11.0 10.247311828 107% => OK
What are above readability scores?
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We are expecting: No. of Words: 350 while No. of Different Words: 200
Better to have 5 paragraphs with 3 arguments. And try always support/against one side but compare two sides, like this:
para 1: introduction
para 2: reason 1. address both of the views presented for reason 1
para 3: reason 2. address both of the views presented for reason 2
para 4: reason 3. address both of the views presented for reason 3
para 5: conclusion.
So how to find out those reasons. There is a formula:
reasons == advantages or
reasons == disadvantages
for example, we can always apply 'save time', 'save/make money', 'find a job', 'make friends', 'get more information' as reasons to all essay/speaking topics.
or we can apply 'waste time', 'waste money', 'no job', 'make bad friends', 'get bad information' as reasons to all essay/speaking topics.
More content wanted.
Minimum 250 words wanted.
Rates: 60.0 out of 100
Scores by essay e-grader: 18.0 Out of 30
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Note: the e-grader does NOT examine the meaning of words and ideas. VIP users will receive further evaluations by advanced module of e-grader and human graders.