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English language teachers everywhere spend time and energy helping students practice their conversation skills. Some may ask whether conversation in English can actually be taught. And – if it can – what the rules might be.

To explore these questions, we spoke to world-renowned . He is an Honorary Professor of Linguistics at the University of Bangor and has written more than 120 books on the subject.

What makes a good conversation?

“It’s very important that we put this everyday use of language under the microscope,” he says. He highlights three critical facets of conservation that we should bring into focus:

• Fluency
• Intelligibility
• Appropriateness

But all in all, he says that people should walk away from a conversation feeling like they’ve had a good chat.

“For the most part, people want that kind of mutual respect, mutual opportunity, and have some sort of shared topic about which they feel comfortable – and these are the basics I think.”

The rules of conversation

There are plenty of ways you can teach learners to engage in a successful conversation – including how to speak informally, use intonation, and provide feedback. So let’s take a look at some of the key areas to focus on:

1) Appropriateness

Fluency and intelligibility are commonly covered in English language classes. But appropriateness can be more complicated to teach. When preparing to teach conversational appropriateness, we can look at it through two different lenses: subject matter and style:

2) Subject matter

“What subject matter is appropriate to use to get a conversation off the ground? There are cultural differences here,” he says. The weather is often a good icebreaker, since everyone is affected by it. The key is to find a common topic that all participants can understand and engage with.

3) Style

Teachers can also teach students about conversational style, focusing on how to make conversations more relaxed in English.

There are “several areas of vocabulary and grammar – and pronunciation too, intonation for example – as well as body language, in which the informality of a conversation is expressed through quite traditional means,” says David. One example he offers is teaching students how to use contracted verb forms.

4) Simultaneous feedback

This is what makes a conversation tick. When we talk with someone, we let them know we’re listening by giving them feedback. We say things like “really” or “huh” and use body language like facial expressions and gestures.

Of course, these feedback noises and expressions can be taught. But they won’t necessarily be new to students. English learners do the same when speaking their own language, anyway.

Keep in mind though, that when it comes to speaking online on video conferencing platforms, it’s not easy to give this type of simultaneous feedback. People’s microphones might be on mute or there might be a delay, which makes reacting in conversations awkward. So, says David, this means online conversations become much more like monologues.

5) Uptalk and accents

Uptalk is when a person declares something in a sentence, but raises their intonation at the end. For English learners, it might sound like someone is asking a question.

Here’s an example:

• “I live in Holyhead” said in a flat tone – this is a statement.
• “I live in Holyhead” said using uptalk – you are stating you live here, but recognize that someone else might not know where it is.

Now, should teachers teach uptalk? David says yes. For one, it’s fashionable to speak this way – and it can be confusing for English learners if they don’t understand why it’s being used in a conversation.

“The other thing is that we are dealing here with a genuine change in the language. One of the biggest problems for all language teachers is to keep up to date with language changes. And language change can be very fast and is at the moment,” he says.

When it comes to accents, David is a fan. “It’s like being in a garden of flowers. Enjoy all the linguistic flowers,” he says, “That’s the beauty of language, its diversity”.

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?