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55 Comments

  1. Salman

    Hi,
    I have a few concerns that might alter my text results:
    1. Is there a way to eliminate the proper nouns from results as they alter the score?
    2. Too many words are listed under unlisted like “numb, agonizing, radiologist, painkillers” when they are really listed on Oxford Dictionaries. Is there a way to fix this?
    3. Some words are also categorized as spelling errors when they are spelt in British English.
    4. Some words are unlisted because they come after or before quotation marks, for example ‘heart, or heart’.
    Please advise.

    Reply
    • Text Inspector Help Team

      Hi Salman,

      1). Currently, there is only a manual way to eliminate proper nouns, although we will certainly try and improve this in the future. You can add ‘known words’ by clikcing on ‘start new analysis’ in the top bar, and then ticking and adding ‘use custom known words list’. This will mean that these words are no longer classed as ‘unlisted’ and will not skew results.
      2). This depends on which tool you are using within Text Inspector (e.g. Lexis: BNC or Lexis:COCA). Text Inspector does not use the Oxford Dictionary, but rather uses frequency and word lists in order to come up with certain measures. Therefore, the AWL will of course not include every word, as it is based off the Academic Word List containing 3000 items. You can refer to the help pages of each tool within Text Inspector for more information.
      3). Thank you for pointing out this error to us, we will look into it. However, this should not change analysis too drastically.
      4). This is also something we will look into – thank you for pointing it out.

      I hope this helps! You can email us at textinspectorhelpteam@gmail.com if you have any other questions.

      All the best,

      Julie Harris

      Reply
  2. John

    Thanks for your tool, love it.

    Note that some phrases are not set to the lowest semantic sense or are they editable. Examples of such that I noticed are: “didn’t” and “don’t ask” :

    i A1 didn’t B2 go A1 i A1 don’t ask B2 questions A1 in A1 class A1

    regards.

    Reply
  3. Andrew Duenas

    Hello, is this tool affiliated with the English Profile text inspector and/or Cambridge Language Assessment at https://www.englishprofile.org/?

    Reply
    • Text Inspector Help Team

      Dear Andrew,

      Thanks for your message. Yes this tool is affiliated with the English Profile Text Inspector! In reality the Text Inspector tool within the English Profile is a slightly more basic version of the tool on our main webpage.

      I hope that helps!

      Julie Harris

      Reply
  4. Sarah

    Hello

    We try since over a week to use the Text Inspector. But it doesn’t work, we even tried it on three diffrent Macbooks. We enabled the Java Script and used beside the usual Safari, Google Chrome as a browser. Is anybody know a tip how we could use it with our Macbook?

    Thank you for your help.

    Reply
    • Text Inspector Help Team

      Hi Sarah,

      The problem you are referring to is with the English Vocabulary Profile website (EVP) and not our own website at textinspector.com

      We do not run the EVP website so unfortunately this is a problem that is out of control for now. However there is another website which we have more control over that you can use which has the same functionality: https://languageresearch.cambridge.org/wordlists/text-inspector

      I hope this works – please do get in touch via our email if not and we can try and help you personally.

      All the best,

      Text Inspector

      Reply
  5. Wendy Arnold

    What’s the difference between the CEFR level in the lexical profile for either listening or reading and the EVP one?

    Reply
    • Text Inspector Help Team

      Hi Wendy,

      The CEFR level in the lexical profile takes account of many different measures and tools including the EVP to give an overall CEFR level. For more details please see: https://textinspector.com/help/?page_id=252

      The EVP looks only at individual words and the CEFR level of each word. It does not take into other measures such as verb/noun ratio or Flesch-Kincaid. Please see: https://www.englishprofile.org/wordlists for more information.

      I hope this helps. Please do not hesitate to ask if you have any further questions.

      All the best,

      Text Inspector Help Team

      Reply
  6. navidddd

    what is token

    Reply
    • Text Inspector Help Team

      Dear Naviddd,

      Token count is the total count of every word in your document (tokens). For example, the sentence: The cat sat on the mat has six tokens.
      *

      Type count: This is the count of all unique words in your document (types). For example, the sentence The cat sat on the mat has five types (unique words), because ‘the’ is repeated.

      You can get further information at: https://textinspector.com/help/?page_id=20

      If you have any further questions please do let us know.

      All the best,

      Text Inspector Help Team

      Reply