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All languages change over time, and there can be many different reasons for this. The English language is no different – but why has it changed over the decades?

Some of the main influences on the evolution of languages include:

• The movement of people across countries and continents, for example, migration and, in previous centuries, colonization. For example, English speakers today would probably be comfortable using the Spanish word 'loco' to describe someone who is 'crazy'.
• Speakers of one language coming into contact with those who speak a different one. No two individuals speak identically: people from different geographical places clearly speak differently and even within the same community there are variations according to a speaker’s age, gender, ethnicity and social and educational background. For example, the word 'courting' has become 'dating'.
• New vocabulary required for inventions such as transport, domestic appliances and industrial equipment, or for sporting, entertainment, cultural and leisure reasons. For example, the original late 19th century term 'wireless' has become today’s 'radio'.

Due to these influences, a language always embraces new words, expressions and pronunciations as people come across new words and phrases in their day-to-day lives and integrate them into their own speech.

What changes has the English language seen?

As the English language has changed, it’s been easy to pick out words that pass into common usage. Here at ����app English, we have explored some of these recent changes to the English language. The rise in popularity of internet slang has seen phrases such as 'LOL' (Laugh Out Loud), 'FOMO' (Fear Of Missing Out) and 'fam' (an abbreviated form of family) become firmly embedded in the English language over the past ten years.

Every decade sees new slang terms like these appearing in the English language. And while some words or abbreviations do come from internet or text conversations, others may appear as entirely new words, a new meaning for an existing word, or a word that becomes more generalized than its former meaning, brought about by any one of the reasons above. Decades ago, 'blimey' was a new expression of surprise, but more recently 'woah' is the word in everyday usage.

Sentence structure is of course, another change to the English language. Decades ago, it would have been normal to ask 'Have you a moment?' Now, you might say 'D’you have a sec?' Similarly, 'How do you do?' has become 'How’s it going?' Not only have the sentences been abbreviated, but new words have been introduced to everyday questions.

Connected to this is the replacement of certain words with other, more modern versions. It’s pretty noticeable that words like 'shall' and 'ought' are on the way out, but 'will', 'should' and 'can' are doing just fine.

Other changes can be more subtle. Many verbs can take a compliment with another verb in either the '-ing' form or the 'to' form, for example, 'they liked painting/to paint', 'we tried leaving/to leave', or 'he didn’t bother calling/to call'. Both of these constructions are still used and have been for a long time, but there has been a steady shift over time from the 'to' to the '-ing' compliment.

What do the changes mean?

There are many other changes to the English language – what have you noticed? Have these changes affected your teaching or learning methods?��

Most contemporary linguistic commentators accept that change in language, like change in society, is inevitable. Some think that is regrettable, but others recognize it as a reinvigoration of a language, bringing alternatives that allow subtle differences of expression.

Linguist, writer and lecturer David Crystal considers whether 'text speak' is undermining the English language. His response to the naysayers who claim it is damaging the English language is to point out that abbreviations have been around for a long time. While some, such as the ones we discussed above, are new, others, such as the use of 'u' for 'you' and the number 8 as a syllable in 'later', have been around for a century or more. Further to this, research shows that there is a correlation between the ability to use abbreviations and the ability to spell. After all, in order to abbreviate, you have to know which letters to abbreviate.

As with everything, change isn’t necessarily a bad thing and, as the needs of English language users continue to change, so will the language.

Fancy learning more about English? Check out our post 'How do English phrases travel across countries?'.

Research has shown that automated scoring can give more reliable and objective results than human examiners when evaluating a person’s mastery of English. This is because an automated scoring system is impartial, unlike humans, who can be influenced by irrelevant factors such as a test taker’s appearance or body language. Additionally, automated scoring treats regional accents equally, unlike human examiners who may favor accents they are more familiar with. Automated scoring also allows individual features of a spoken or written test question response to be analyzed independent of one another, so that a weakness in one area of language does not affect the scoring of other areas.

was created in response to the demand for a more accurate, objective, secure and relevant test of English. Our automated scoring system is a central feature of the test, and vital to ensuring the delivery of accurate, objective and relevant results – no matter who the test-taker is or where the test is taken.

Development and validation of the scoring system to ensure accuracy

PTE Academic’s automated scoring system was developed after extensive research and field testing. A prototype test was developed and administered to a sample of more than 10,000 test takers from 158 different countries, speaking 126 different native languages. This data was collected and used to train the automated scoring engines for both the written and spoken PTE Academic items.

To do this, multiple trained human markers assess each answer. Those results are used as the training material for machine learning algorithms, similar to those used by systems like Google Search or Apple’s Siri. The model makes initial guesses as to the scores each response should get, then consults the actual scores to see well how it did, adjusts itself in a few directions, then goes through the training set over and over again, adjusting and improving until it arrives at a maximally correct solution – a solution that ideally gets very close to predicting the set of human ratings.

Once trained up and performing at a high level, this model is used as a marking algorithm, able to score new responses just like human markers would. Correlations between scores given by this system and trained human markers are quite high. The standard error of measurement between ����app’s system and a human rater is less than that between one human rater and another – in other words, the machine scores are more accurate than those given by a pair of human raters, because much of the bias and unreliability has been squeezed out of them. In general, you can think of a machine scoring system as one that takes the best stuff out of human ratings, then acts like an idealized human marker.

����app conducts scoring validation studies to ensure that the machine scores are consistently comparable to ratings given by skilled human raters. Here, a new set of test-taker responses (never seen by the machine) are scored by both human raters and by the automated scoring system. Research has demonstrated that the automated scoring technology underlying PTE Academic produces scores comparable to those obtained from careful human experts. This means that the automated system “acts” like a human rater when assessing test takers’ language skills, but does so with a machine's precision, consistency and objectivity.

Scoring speaking responses with ����app’s Ordinate technology

The spoken portion of PTE Academic is automatically scored using ����app’s Ordinate technology. Ordinate technology results from years of research in speech recognition, statistical modeling, linguistics and testing theory. The technology uses a proprietary speech processing system that is specifically designed to analyze and automatically score speech from fluent and second-language English speakers. The Ordinate scoring system collects hundreds of pieces of information from the test takers’ spoken responses in addition to just the words, such as pace, timing and rhythm, as well as the power of their voice, emphasis, intonation and accuracy of pronunciation. It is trained to recognize even somewhat mispronounced words, and quickly evaluates the content, relevance and coherence of the response. In particular, the meaning of the spoken response is evaluated, making it possible for these models to assess whether or not what was said deserves a high score.

Scoring writing responses with Intelligent Essay Assessor™ (IEA)

The written portion of PTE Academic is scored using the Intelligent Essay Assessor™ (IEA), an automated scoring tool powered by ����app’s state-of-the-art Knowledge Analysis Technologies™ (KAT) engine. Based on more than 20 years of research and development, the KAT engine automatically evaluates the meaning of text, such as an essay written by a student in response to a particular prompt. The KAT engine evaluates writing as accurately as skilled human raters using a proprietary application of the mathematical approach known as Latent Semantic Analysis (LSA). LSA evaluates the meaning of language by analyzing large bodies of relevant text and their meanings. Therefore, using LSA, the KAT engine can understand the meaning of text much like a human.

What aspects of English does PTE Academic assess?

“Sharing a story with your child is one of the most incredible things you can do for them.” – .

Research shows that getting kids reading at home can increase their reading ability at school – and improve their overall well-being. Parents and guardians can make a big difference. But how can teachers encourage parents to get their children to read more at home? We explore some strategies you can use.

Tell parents about the benefits

Reading can give children a break from technology-centered activities. It can help them to relax and unwind; reading a book can make children laugh and feel happier! Through hearing stories, children are also exposed to a rich and broad vocabulary.

“It is important for teachers to establish contact with parents as much as possible and give very clear guidelines on the benefits of reading, and how they can create a reading routine and help their children read at home,” says Kasia Janitz-De La Rue, Product Development Director at ����app.

So, encourage parents to find time for a reading routine. Just before bedtime is a great time, as .

Give parents practical ideas for reading strategies

Encourage parents to read with and not to their child. It doesn’t matter how long they set aside to read – just 10 minutes of quality reading time can make a big difference.

Here are a few tips concrete reading tips for teachers to share with parents:

• Ask children lots of questions while reading.
• Use encouragement and praise to keep children engaged. Saying things like “what fantastic ideas” or “you thought so carefully about that, what might happen now?"��will keep their minds working.
• Use their past experiences to talk about what’s being read. Things like “have you learnt about…at school?” or “do you remember when we watched…and found out about…?” are good conversation starters.
• Tune in and listen to children, and be curious about their interests. “I didn’t know you knew so much about…” or “I love reading stories about…with you,” are good phrases to keep in mind.

It’s also a great idea to share online resources with parents. You can also suggest that parents look up read-aloud YouTube videos featuring authors, teachers or librarians reading their favorite stories. This way, children can watch and listen as often as they like.

Recommend graded readers

Graded readers are books that use language in line with a child‘s learning level. They can help children build confidence, and help slowly expose them to authentic reading levels.

Encourage parents to identify what genre their child is interested in and show them the readers available. Each time parents see their children move up a level, they’re sure to see their children’s love for reading grow.

Suggest before, during, and after reading activities

Before reading

Parents can take turns with their children to predict what the story is about – or what will happen next. Here is an activity teachers may suggest they try:

“Start with the cover of the book and the blurb on the back cover. Reveal the cover slowly to ask the child what they can see. Ask them to guess what is on the cover. Once they have seen the cover, ask them questions about the images on the cover – who, what, why, where and how?”

While reading

Remind parents to focus on their children’s reading comprehension by using strategies like prediction, questioning, clarifying, and summarising. Teachers can ask parents to:

• check ideas and understanding as the child reads: ‘So, you think that….’ ‘Did you expect…to happen?’ ‘Why do you think that happened?’
• use the pictures in the book to help with comprehension
• describe what is happening and talk about the characters.

After reading

Don’t forget: parents can continue to explore the book’s topic once reading time is done! A few ideas to share with parents include:

• organising a puppet show for family members and siblings after making puppets of the characters in the book
• having children draw a picture of their favorite character or their favorite page in the story
• encouraging children to express their opinion on the book.