I have been pretty much going on an editing spree for answers with poor grammar. I want to make sure that it is allowed, since it is telling me I have too many pending edits and now I'm worried... In particular, is this considered spam?
Please don't bulk edit old posts (*). One of the central concepts of the stackexchange site is that edited posts are bumped to the top of the active question page. This normally allows users to easily see if there are posts with new activity, for example if an OP has clarified their question or a post got a new and interesting answer.
Language edits aren't that exciting to see in the active question list. It is understandable that a post here or there might be improved with an edit and that's a nice thing to do. However if done in bulk, they will take over the active question list and re-direct the focus away from posts, which actually need the attention.
If a post is already on the top of the active question page, editing is normally OK. Just keep in mind that as long as you are below 2000 points, 3 people will have to review your edits. So make sure you write understandable edit summaries to make their job easy and take a second to check if your edit is actually useful for the post before causing work for 3 reviewers.
In my opinion the posting is the "baby" of the author and if something needs to be done, it is up to the author in first place. Therefore I prefer suggesting edits to the author of a post via chat or comment to doing the edit oneself.
I know that suggesting edits via comments is not 100%ly in line with the company's policy regarding comments. Therefore, nowadays part of my commenting-policy is that I delete comments of mine myself when I realize that they turned obsolete. ;-)
From time to time with postings of mine I experience someone editing in order to make the text more readable. As English is not my first language I usually am thankful for that. In cases where the gist of the explanation gets distorted/turned into s.th. wrong, I undo the edit and add a note about the subtlety of why the attempt of explaining in the way of the one who edited would yield s.th. wrong. I do so as that info might lead to a better understanding.
It is a concrete subject: you learn a rule, then you apply it and use it. Many English learners are familiar with doing worksheets in class and feel in their comfort zone, even when the grammatical concept they are learning is a bit more difficult.
I am a big proponent of practicality and communication in language teaching. So can you imagine how THRILLED I was when I heard an honorable ESL professor and author of multiple books on teaching English learners echo my sentiment almost exactly?!
One of the more popular ways to teach grammar is to teach a rule and provide worksheets for students to complete. And while a good grammar worksheet always has its place, it does not give a teacher lots of information about whether the student can actually use the grammatical rule in real life or not.
Younger children (ages 6-9) learn grammar best through play, singing and real-life use of grammatical structures because they are not able to process the abstract information that is grammar yet. Older students have the ability to think abstractly and therefore, form-focused grammar instruction works well with them.
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I need to extract some info from a list of mainframe scripts written in focus language.I'm trying to write a java program for parsing source code. Due to the name of the language it is difficult to find any useful information on the internet. Maybe someone know if exist a grammar for this language on internet(for example for antlr4) or maybe an implemented lexer.Thanks in advance for any response!
There are times when a thought group will have more than one focus word. You can identify which words are focus words based on the context, and how they sound. We will visit these topics further in Style and Tone, Highlighting, and Contrasting and Clarifying.
Write one to two sentences to answer each question below. Then, circle which words are your focus words. Practice saying these sentences out loud, first reading, and then without looking at any notes. For an added challenge, experiment with changing a focus word and seeing how it sounds and how it changes the meaning or feeling of the sentence.
Swam Htet, Dominique is exactly right. As a long-time teacher and now tutor, I have taught Grammar because it helps you communicate. At the same time, I remind students that intent and message are also important.I am sure the Preply tutors have a variety of views. Feel free to ask questions of any of us by using the Contact Tutor link. You might want to register for a (free to you) trial to see what Preply might have to offer you.Best wishes, Paul L.
Grammar is important as it helps us with all forms of communication in English. Not only is it a necessity for written communication, but it also plays a big role in English conversations because it helps you to express your thoughts and ideas in a clear and understandable manner.
Grammar is important, but there is also so much more to the English language and certainly different ways of learning it. Sometimes it's great to just have a conversational class where you can practice what you have learned, or talk about a new book or movie that you have seen or read.
The real reason for learning English is to communicate. So yes, grammar is important, but if your focus on grammar takes away your ability to speak, give focusing on grammar a break and start focusing on communicating/speaking.
If you focus too much on grammar alone, you may be reluctant to speak to people as you feel that you are not prepared. The best way to improve is to be brave and speak to people. Don't worry if you make a mistake! This is how you learn.
Grammar is an essential aspect of any language. In order to make it less frustrating you can try having conversation sessions and watching content in English. With time, the grammar that you found irritating will become easier and embeded in your system.
Grammar is important in terms of speaking and writing structure.Focus only on one aspect will make it boring, Preply has made they lessons interesting with a short grammar point, then the lesson.This helps you to learn all parts of the language without being bored.
NLP research has enabled the era of generative AI, from the communication skills of large language models (LLMs) to the ability of image generation models to understand requests. NLP is already part of everyday life for many, powering search engines, prompting chatbots for customer service with spoken commands, voice-operated GPS systems and digital assistants on smartphones.
NLP also plays a growing role in enterprise solutions that help streamline and automate business operations, increase employee productivity and simplify mission-critical business processes.
A natural language processing system can work rapidly and efficiently: after NLP models are properly trained, it can take on administrative tasks, freeing staff for more productive work. Benefits can include:
Faster insight discovery: Organizations can find hidden patterns, trends and relationships between different pieces of content. Text data retrieval supports deeper insights and analysis, enabling better-informed decision-making and surfacing new business ideas.
Greater budget savings: With the massive volume of unstructured text data available, NLP can be used to automate the gathering, processing and organization of information with less manual effort.
Quick access to corporate data: An enterprise can build a knowledge base of organizational information to be efficiently accessed with AI search. For sales representatives, NLP can help quickly return relevant information, to improve customer service and help close sales.
Biased training: As with any AI function, biased data used in training will skew the answers. The more diverse the users of an NLP function, the more significant this risk becomes, such as in government services, healthcare and HR interactions. Training datasets scraped from the web, for example, are prone to bias.
Misinterpretation: As in programming, there is a risk of garbage in, garbage out (GIGO). NLP solutions might become confused if spoken input is in an obscure dialect, mumbled, too full of slang, homonyms, incorrect grammar, idioms, fragments, mispronunciations, contractions or recorded with too much background noise.
Tone of voice: When people speak, their verbal delivery or even body language can give an entirely different meaning than the words alone. Exaggeration for effect, stressing words for importance or sarcasm can be confused by NLP, making the semantic analysis more difficult and less reliable.
NLP combines the power of computational linguistics together with machine learning algorithms and deep learning. Computational linguistics is a discipline of linguistics that uses data science to analyze language and speech. It includes two main types of analysis: syntactical analysis and semantical analysis. Syntactical analysis determines the meaning of a word, phrase or sentence by parsing the syntax of the words and applying preprogrammed rules of grammar. Semantical analysis uses the syntactic output to draw meaning from the words and interpret their meaning within the sentence structure.
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