Summaries the points made in the lecture,being sure to explain how they cast doubt on specific points made in the reading passage.
What are the uses of the salvage logging?
The reading and lecture are both about salvage logging method, which the author of reading believes that this method can be useful to damaged forests, but the lecture challenges the statement made by the author. The professor is of the opinion that this way has damages in the long time and argued the reasons provided by the reading.
First of all, the author suggests that forests that have dead tress cause woods to decompose and there are no spaces for making new trees, so the salvage can remove dead trees and crate new spaces for fresh growth. This idea is challenged by the lecture. She says that cleaning up dead trees dose not necessary to make new room for growth. Furthermore, she explains that wood decomposition is very good for soil because soil reached by this process and it can provide critical nutrients for growth.
Secondly, the writer contends that decaying woods are a perfect place for insects. The article notes some insects such as the bark beetle in large populations can be detrimental for healthy trees. The lecture, however, rebuts this by asserting that the bark beetles have lived for years without any damage to tress. Also, she elaborates on this by mentioning that decaying trees create a suitable habitat for other insects and birds which have significant role in health of trees.
Finally, it is stated in the article that salvage logging has economic advantages because many industries produce their production by the forests. The lecture, on the other hand, posits that the system has small benefits for industries and cannot be depending on this method. She mentions that in severely damaged forests can extract lumbers by using vehicles like helicopter.
Grammar and spelling errors:
Line 7, column 248, Rule ID: PROGRESSIVE_VERBS[1]
Message: This verb is normally not used in the progressive form. Try a simple form instead.
...mall benefits for industries and cannot be depending on this method. She mentions that in se...
^^^^^^^^^^^^
Transition Words or Phrases used:
also, but, finally, first, furthermore, however, if, second, secondly, so, such as, first of all, on the other hand
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 10.0 10.4613686534 96% => OK
Auxiliary verbs: 6.0 5.04856512141 119% => OK
Conjunction : 8.0 7.30242825607 110% => OK
Relative clauses : 14.0 12.0772626932 116% => OK
Pronoun: 26.0 22.412803532 116% => OK
Preposition: 28.0 30.3222958057 92% => OK
Nominalization: 3.0 5.01324503311 60% => More nominalizations (nouns with a suffix like: tion ment ence ance) wanted.
Performance on vocabulary words:
No of characters: 1421.0 1373.03311258 103% => OK
No of words: 283.0 270.72406181 105% => OK
Chars per words: 5.02120141343 5.08290768461 99% => OK
Fourth root words length: 4.10153676581 4.04702891845 101% => OK
Word Length SD: 2.40719826844 2.5805825403 93% => OK
Unique words: 161.0 145.348785872 111% => OK
Unique words percentage: 0.56890459364 0.540411800872 105% => OK
syllable_count: 431.1 419.366225166 103% => OK
avg_syllables_per_word: 1.5 1.55342163355 97% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 6.0 3.25607064018 184% => OK
Article: 7.0 8.23620309051 85% => OK
Subordination: 0.0 1.25165562914 0% => More adverbial clause wanted.
Conjunction: 1.0 1.51434878587 66% => OK
Preposition: 1.0 2.5761589404 39% => More preposition wanted as sentence beginning.
Performance on sentences:
How many sentences: 13.0 13.0662251656 99% => OK
Sentence length: 21.0 21.2450331126 99% => OK
Sentence length SD: 47.9628801243 49.2860985944 97% => OK
Chars per sentence: 109.307692308 110.228320801 99% => OK
Words per sentence: 21.7692307692 21.698381199 100% => OK
Discourse Markers: 8.84615384615 7.06452816374 125% => OK
Paragraphs: 4.0 4.09492273731 98% => OK
Language errors: 1.0 4.19205298013 24% => OK
Sentences with positive sentiment : 8.0 4.33554083885 185% => OK
Sentences with negative sentiment : 5.0 4.45695364238 112% => OK
Sentences with neutral sentiment: 0.0 4.27373068433 0% => More facts, knowledge or examples wanted.
What are sentences with positive/Negative/neutral sentiment?
Coherence and Cohesion:
Essay topic to essay body coherence: 0.0819643104193 0.272083759551 30% => The similarity between the topic and the content is low.
Sentence topic coherence: 0.0308542491069 0.0996497079465 31% => Sentence topic similarity is low.
Sentence topic coherence SD: 0.0413566955315 0.0662205650399 62% => OK
Paragraph topic coherence: 0.0591733101318 0.162205337803 36% => Maybe some paragraphs are off the topic.
Paragraph topic coherence SD: 0.0435394244321 0.0443174109184 98% => OK
Essay readability:
automated_readability_index: 13.1 13.3589403974 98% => OK
flesch_reading_ease: 58.62 53.8541721854 109% => OK
smog_index: 3.1 5.55761589404 56% => Smog_index is low.
flesch_kincaid_grade: 10.3 11.0289183223 93% => OK
coleman_liau_index: 11.84 12.2367328918 97% => OK
dale_chall_readability_score: 9.09 8.42419426049 108% => OK
difficult_words: 79.0 63.6247240618 124% => OK
linsear_write_formula: 12.5 10.7273730684 117% => OK
gunning_fog: 10.4 10.498013245 99% => OK
text_standard: 10.0 11.2008830022 89% => 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.