One of the threats to endangered sea turtle species is the use of nets by commercial shrimp-fishing boats. When turtles get accidentally caught in the nets, they cannot rise to the surface of the ocean to breathe, and they die. Some people suggest that th

Essay topics:

One of the threats to endangered sea turtle species is the use of nets by commercial shrimp-fishing boats. When turtles get accidentally caught in the nets, they cannot rise to the surface of the ocean to breathe, and they die. Some people suggest that this problem can be solved through an invention called a turtle excluder device (TED) that is incorporated into the nets. A TED provides a passage through which the turtles can escape. However, TEDs have been criticized for several reasons. First, some shrimpers (shrimp fishers) argue that turtles get trapped only rarely: it is estimated that on average, one shrimp boat accidentally catches about one turtle every month. On the other hand, using TEDs costs the shrimpers some of their catch. Every time the shrimpers cast the nets, a certain percentage of shrimp manage to escape through the turtle passages. The shrimpers complain that the cost of losing shrimp on a daily basis is too high in comparison with the small chance of saving one turtle. Second, there are alternative methods of protecting sea turtles that may be more effective than TEDs. One method that can be used is shortening the time limit that shrimp boats are allowed to keep their nets underwater. When the time limit is reached, the nets have to be pulled up to the surface, allowing any turtles caught in the net to get air and also giving shrimpers the opportunity to release the turtles from the nets. Third, TEDs are not effective for larger species of endangered sea turtles. Some species like loggerhead and leatherback turtles can grow to be quite large and cannot fit through the escape passage that standard TEDs provide. Such turtles cannot escape from the nets even if the nets are equipped with TEDs.

Summarize the points made in the lecture, being sure to explain how they respond to the specific points made in the reading passage.

The reading material believes TED is not a ideal device for escaping turtles and puts forward three reasons. However, the listening material holds a different opinion that it could help turtles escape and survive.

First of all, the author makes the point that TED could save only one turtle but lost many shrimps. Nonetheless, the lecturer claims that there are mass of shrimp-fishing boats everyday one the sea, in this case, this device will save a lot of turtles. Besides these turtles are in danger and their amount is small now. So it is very necessary to use the TED even we may lost shrimps.
Secondly, the writer suggests that limiting the time of keeping the nest underwater is another way to save the turtles. Be that as is may, the speaker is convinced that this method is only a theory due to the fact that the process of fishing can not been monitored. However, the using of TED could been checked.
Finally, the listening refutes the idea said in the passage that it is useless for the larger endangered sea turtles by saying that TED could been modified easily to solve this problem. The only thing people should do is making the net larger.

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Average: 0.3 (1 vote)
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2020-02-29 ricardommaark 83 view
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Comments

Grammar and spelling errors:
Line 1, column 42, Rule ID: EN_A_VS_AN
Message: Use 'an' instead of 'a' if the following word starts with a vowel sound, e.g. 'an article', 'an hour'
Suggestion: an
...he reading material believes TED is not a ideal device for escaping turtles and p...
^
Line 3, column 56, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...he author makes the point that TED could save only one turtle but lost many shrim...
^^
Line 4, column 298, Rule ID: PRP_PAST_PART[2]
Message: Did you mean 'have been' or 'be'?
Suggestion: have been; be
...itored. However, the using of TED could been checked. Finally, the listening refute...
^^^^
Line 5, column 143, Rule ID: PRP_PAST_PART[2]
Message: Did you mean 'have been' or 'be'?
Suggestion: have been; be
...ed sea turtles by saying that TED could been modified easily to solve this problem. ...
^^^^

Transition Words or Phrases used:
besides, but, finally, first, however, if, may, nonetheless, second, secondly, so, first of all

Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments

Performance on Part of Speech:
To be verbs : 15.0 10.4613686534 143% => OK
Auxiliary verbs: 9.0 5.04856512141 178% => OK
Conjunction : 4.0 7.30242825607 55% => More conjunction wanted.
Relative clauses : 9.0 12.0772626932 75% => More relative clauses wanted.
Pronoun: 19.0 22.412803532 85% => OK
Preposition: 15.0 30.3222958057 49% => More preposition wanted.
Nominalization: 0.0 5.01324503311 0% => More nominalizations (nouns with a suffix like: tion ment ence ance) wanted.

Performance on vocabulary words:
No of characters: 960.0 1373.03311258 70% => OK
No of words: 205.0 270.72406181 76% => More content wanted.
Chars per words: 4.68292682927 5.08290768461 92% => OK
Fourth root words length: 3.78388967377 4.04702891845 93% => OK
Word Length SD: 2.32227913241 2.5805825403 90% => OK
Unique words: 122.0 145.348785872 84% => More unique words wanted.
Unique words percentage: 0.59512195122 0.540411800872 110% => OK
syllable_count: 294.3 419.366225166 70% => OK
avg_syllables_per_word: 1.4 1.55342163355 90% => OK

A sentence (or a clause, phrase) starts by:
Pronoun: 1.0 3.25607064018 31% => OK
Article: 9.0 8.23620309051 109% => OK
Subordination: 0.0 1.25165562914 0% => More adverbial clause wanted.
Conjunction: 0.0 1.51434878587 0% => OK
Preposition: 2.0 2.5761589404 78% => OK

Performance on sentences:
How many sentences: 11.0 13.0662251656 84% => 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: 18.0 21.2450331126 85% => The Avg. Sentence Length is relatively short.
Sentence length SD: 42.1435955351 49.2860985944 86% => OK
Chars per sentence: 87.2727272727 110.228320801 79% => OK
Words per sentence: 18.6363636364 21.698381199 86% => OK
Discourse Markers: 8.63636363636 7.06452816374 122% => OK
Paragraphs: 4.0 4.09492273731 98% => OK
Language errors: 4.0 4.19205298013 95% => OK
Sentences with positive sentiment : 4.0 4.33554083885 92% => OK
Sentences with negative sentiment : 5.0 4.45695364238 112% => OK
Sentences with neutral sentiment: 2.0 4.27373068433 47% => OK
What are sentences with positive/Negative/neutral sentiment?

Coherence and Cohesion:
Essay topic to essay body coherence: 0.0 0.272083759551 0% => The similarity between the topic and the content is low.
Sentence topic coherence: 0.0 0.0996497079465 0% => Sentence topic similarity is low.
Sentence topic coherence SD: 0.0 0.0662205650399 0% => Sentences are similar to each other.
Paragraph topic coherence: 0.0 0.162205337803 0% => Maybe some paragraphs are off the topic.
Paragraph topic coherence SD: 0.0 0.0443174109184 0% => Paragraphs are similar to each other. Some content may get duplicated or it is not exactly right on the topic.

Essay readability:
automated_readability_index: 9.9 13.3589403974 74% => Automated_readability_index is low.
flesch_reading_ease: 70.13 53.8541721854 130% => OK
smog_index: 3.1 5.55761589404 56% => Smog_index is low.
flesch_kincaid_grade: 7.9 11.0289183223 72% => OK
coleman_liau_index: 9.86 12.2367328918 81% => OK
dale_chall_readability_score: 7.69 8.42419426049 91% => OK
difficult_words: 41.0 63.6247240618 64% => More difficult words wanted.
linsear_write_formula: 8.0 10.7273730684 75% => OK
gunning_fog: 9.2 10.498013245 88% => OK
text_standard: 8.0 11.2008830022 71% => OK
What are above readability scores?

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It is not exactly right on the topic in the view of e-grader. Maybe there is a wrong essay topic.

Rates: 3.33333333333 out of 100
Scores by essay e-grader: 1.0 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.