The reading passage discusses an interesting topic about the extinction of the Steller's sea cow, from the Bering Island, and provides extensive information with three main reasons for support. However, the lecture casts doubts on the arguments of the reading passage and opposes to each of their reasons.
First of all, the reading passage states that the possible decline and extinction of the sea cow could be as consequence of the amount of native hunting. On the opposite, the lecture explains how big these animals used to be, and certainly, how the meat provided by only one animal could last for weeks. Additionally, the native population in the Bering island was relative small to be the main cause of extinction. Thus, the lecture refutes this point of the reading passage.
Secondly, the reading passage sustains that other possible reason of the extinction of this big animal could be determined for the disappearing of the kelp. According to the reading passage, the kelp was a type of algae and the main source of food of the sea cow. The disappearance of the kelp could be cause because of a number of ecological changes. On the contrary, the lecture challenges this point by sustaining that, if ecological changes occurred that provoked an extinction of that nature, other species would have suffered same situation. Clearly, for the lecture, this was not the case considering that population of other animals, like for example whales, did not declined in number around the same area and time.
Finally, the reading passage argues that another possible cause of extinction could be provoked by the hunting of European fur trades arriving just on 1741. The lecture opposes this argument by exposing how low the sea cow population was already before the arrival of the European. Considering this argument, other reason was playing in the situation affecting negatively the population before the fur hunting. The lecturer, again, evidences the weak argument exposed by the reading passage about the causes of the extinction of the sea cow.
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- TPO-34 - Integrated Writing Task A huge marine mammal known as Steller’s sea cow once lived in the waters around Bering Island off the coast of Siberia. It was described in 1741 by Georg W. Steller, a naturalist who was among the first Europeans to see 80
Grammar and spelling errors:
Line 5, column 301, Rule ID: BE_CAUSE[1]
Message: Did you mean 'because'?
Suggestion: because
...ow. The disappearance of the kelp could be cause because of a number of ecological chang...
^^^^^^^^
Line 5, column 676, Rule ID: DID_BASEFORM[1]
Message: The verb 'did' requires the base form of the verb: 'decline'
Suggestion: decline
...imals, like for example whales, did not declined in number around the same area and time...
^^^^^^^^
Transition Words or Phrases used:
finally, first, however, if, second, secondly, so, thus, for example, first of all, on the contrary
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 11.0 10.4613686534 105% => OK
Auxiliary verbs: 6.0 5.04856512141 119% => OK
Conjunction : 6.0 7.30242825607 82% => OK
Relative clauses : 7.0 12.0772626932 58% => More relative clauses wanted.
Pronoun: 15.0 22.412803532 67% => OK
Preposition: 52.0 30.3222958057 171% => OK
Nominalization: 19.0 5.01324503311 379% => Less nominalization wanted.
Performance on vocabulary words:
No of characters: 1724.0 1373.03311258 126% => OK
No of words: 337.0 270.72406181 124% => OK
Chars per words: 5.11572700297 5.08290768461 101% => OK
Fourth root words length: 4.28457229495 4.04702891845 106% => OK
Word Length SD: 2.64790202785 2.5805825403 103% => OK
Unique words: 160.0 145.348785872 110% => OK
Unique words percentage: 0.474777448071 0.540411800872 88% => More unique words wanted or less content wanted.
syllable_count: 543.6 419.366225166 130% => OK
avg_syllables_per_word: 1.6 1.55342163355 103% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 1.0 3.25607064018 31% => OK
Interrogative: 1.0 0.116997792494 855% => Less interrogative sentences wanted.
Article: 13.0 8.23620309051 158% => OK
Subordination: 1.0 1.25165562914 80% => OK
Conjunction: 2.0 1.51434878587 132% => OK
Preposition: 6.0 2.5761589404 233% => Less preposition wanted as sentence beginnings.
Performance on sentences:
How many sentences: 15.0 13.0662251656 115% => OK
Sentence length: 22.0 21.2450331126 104% => OK
Sentence length SD: 36.5546166715 49.2860985944 74% => OK
Chars per sentence: 114.933333333 110.228320801 104% => OK
Words per sentence: 22.4666666667 21.698381199 104% => OK
Discourse Markers: 6.6 7.06452816374 93% => OK
Paragraphs: 4.0 4.09492273731 98% => OK
Language errors: 2.0 4.19205298013 48% => OK
Sentences with positive sentiment : 5.0 4.33554083885 115% => OK
Sentences with negative sentiment : 6.0 4.45695364238 135% => OK
Sentences with neutral sentiment: 4.0 4.27373068433 94% => OK
What are sentences with positive/Negative/neutral sentiment?
Coherence and Cohesion:
Essay topic to essay body coherence: 0.380832961445 0.272083759551 140% => OK
Sentence topic coherence: 0.142532379157 0.0996497079465 143% => OK
Sentence topic coherence SD: 0.0904961850129 0.0662205650399 137% => OK
Paragraph topic coherence: 0.243994782104 0.162205337803 150% => OK
Paragraph topic coherence SD: 0.0425084120563 0.0443174109184 96% => OK
Essay readability:
automated_readability_index: 13.9 13.3589403974 104% => OK
flesch_reading_ease: 49.15 53.8541721854 91% => OK
smog_index: 8.8 5.55761589404 158% => OK
flesch_kincaid_grade: 11.9 11.0289183223 108% => OK
coleman_liau_index: 12.71 12.2367328918 104% => OK
dale_chall_readability_score: 8.48 8.42419426049 101% => OK
difficult_words: 80.0 63.6247240618 126% => OK
linsear_write_formula: 13.0 10.7273730684 121% => OK
gunning_fog: 10.8 10.498013245 103% => OK
text_standard: 13.0 11.2008830022 116% => OK
What are above readability scores?
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Write the essay in 20 minutes.
Rates: 73.3333333333 out of 100
Scores by essay e-grader: 22.0 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.