Showing posts with label multilingual. Show all posts
Showing posts with label multilingual. Show all posts

Saturday, October 17, 2026

The Language You Use With AI Decides Which Brands Exist

Asked in Norwegian, ChatGPT named three Norwegian tools and no American ones. Asked in English from the same desk, it did the reverse. The language of a question now decides which companies exist in the answer. Someone in Oslo asked ChatGPT, in Norwegian, to recommend accounting software for a freelancer. It named Fiken, Tripletex and Conta, three Norwegian products, and no American one. Minutes later, from the same connection, the same person asked the same question in English. The list now read FreshBooks, QuickBooks and Wave, and the Norwegian tools had gone……..Continue reading…

By Boris Dzhingarov

Source: Entreprene

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Critics:

ChatGPT is a powerful tool for content writing that can help you generate unique and compelling content quickly and efficiently. When we want ChatGPT to create new text, we give it a starting point called a “prompt.” The prompt is a short phrase or sentence that tells the AI what to write about. For example, if we want the model to write a story, we can give it a prompt like “Once upon a time in a faraway land.

ChatGPT can provide a helpful starting point for optimizing your SEO content to incorporate keywords. It can also give you ideas for optimizations you may not have considered and help when you feel stuck organically adding your keywords and key phrases to blog or website content.To make ChatGPT’s writing more human-like, you need to add more variety and remove redundancies from its output. Start by closely reviewing the text generated by ChatGPT.

Identify and eliminate any repetitive phrases or sections that do not add new information.  keep in mind the length of the prompt. You can write up to 4096 characters in ChatGPT prompts, and there’s a 4096 token limit for each chat. Make the most of the space that you have but stay within the limit, too long prompts might not be fully processed by the ChatGPT Model.

ChatGPT cannot completely replace content writing jobs. While it can generate text based on provided prompt, it still lacks the creativity, critical thinking, and empathy that a human writer brings to the table. According to OpenAI’s terms of use, users have the right to reproduce text generated by ChatGPT during conversations. However, publishing ChatGPT outputs may have legal implications, such as copyright infringement. Users should be aware of such issues and use ChatGPT outputs as a source of inspiration instead.

Chat GPT is an AI language model that has been trained on a vast database of texts and can generate high-quality and diverse content ideas in a matter of minutes. All you need to do is input a few keywords or phrases related to your niche or topic, and Chat GPT will do the rest. You can use ChatGPT to assist you in the content writing process. Ask it to brainstorm topic ideas, generate content outlines, or find the information for your future articles.

ChatGPT can also write initial drafts for you, but ensure you revise them for higher quality and accuracy. One effective strategy is to ask ChatGPT follow-up questions to get it to build upon its initial responses. Don’t just accept its first answer — prod the AI to explain further, provide examples, and introduce new concepts. This pushes it to generate more in-depth, varied content.

How to Get ChatGPT to Write Like You:
  1. Feed it your writing. The first step in guiding ChatGPT towards writing like you is to give it some of your previous writing. …
  2. Give it a style guide. …
  3. Take advantage of ‘custom instructions’ …
  4. Keep giving feedback. …
  5. Be specific. …
  6. Give it context. …
  7. Be realistic.

By far the simplest way of training ChatGPT on your writing style or data is to provide it with samples of that data in your prompts. ChatGPT 4o free access is limited to 10 messages per day, according to our testing of the new version of LLM. It will then prompt you to purchase a ChatGPT paid plan for $20 per month. This rate limit will reset after five hours

With just a few clicks, you can split all your files and long texts into chunks, to process it with ChatGPT and get valuable information. Accuracy the tool ensures that your files and long texts are uploaded accurately, without any formatting errors. Fire off a question or statement to ChatGPT and wait for a response from the AI assistant. 

After long pressing the response, a menu will appear. Tap on “Read Aloud.” Soon after, you’ll hear a voice read the message. Roles involving rule-based, repetitive tasks or ones where interaction is primarily standardized will be replaced by AI. Jobs that are most likely to be automated by 2030 include cashiers, telemarketers, data entry clerks, and customer service agents.

You can legally use ChatGPT to write a book. However, it is important to note that using ChatGPT to write a book and other AI-generated content comes with copyright infringement issues. The more you talk to ChatGPT, the better it will get at understanding your intentions and tailoring its responses. The tool can be used to help you jumpstart your storytelling process or break through writer’s block. It can also provide new ideas for plot twists, characters, and settings.

ChatGPT Predicts Terra Classic (LUNC) Price For May 31, 2024 Times Tabloid 16:58 

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ChatGPT ,Languages ,AI ,NaturalLanguageProcessing ,MachineLearning ,LanguageModel ,TechInnovation ,ArtificialIntelligence ,Multilingual ,LanguageLearning ,Chatbot ,Communication ,DigitalTransformation ,Innovation ,TechTrends ,Automation ,FutureOfAI ,DataScience ,SmartTechnology

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Thursday, June 18, 2026

Language Learning App Mondly Faces Closure

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For many people, learning with a smartphone has become part of everyday life. Instead of attending regular classes, they turn to apps to practice new languages. Short units, repetitions, and interactive tasks are the focus. Mondly also follows this approach and has reached a large number of users worldwide. However, those using the app must be prepared for no further developments. The service will not be further developed, losing an important foundation……Continue reading….

By:

Source: TechBook

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Critics:

The term CALI (computer-assisted language instruction) was used before CALL, originating as a subset of the broader term CAI (computer-assisted instruction). CALI fell out of favor among language teachers, however, because it seemed to emphasize a teacher-centered instructional approach. Language teachers increasingly favored a student-centered approach focused on learning rather than instruction.

CALL began to replace CALI in the early 1980s (Davies & Higgins, 1982: p. 3)and it is now incorporated into the names of the growing number of professional associations worldwide. An alternative term, technology-enhanced language learning (TELL) also emerged around the early 1990s: e.g. the TELL Consortium project, University of Hull.

The current philosophy of CALL emphasizes student-centered materials that empower learners to work independently. These materials can be structured or unstructured but typically incorporate two key features: interactive and individualized learning. CALL employs tools that assist teachers in facilitating language learning, whether reinforcing classroom lessons or providing additional support to learners.

The design of CALL materials typically integrates principles from language pedagogy and methodology, drawing from various learning theories such as behaviourism, cognitive theory, constructivism, and second-language acquisition theories like Stephen Krashen’s. monitor hypothesis. A combination of face-to-face teaching and CALL is usually referred to as blended learning. Blended learning is designed to increase learning potential and is more commonly found than pure CALL.

Most CALL programs in Warschauer & Healey’s first phase, Behavioristic CALL (1960s to 1970s), consisted of drill-and-practice materials in which the computer presented a stimulus and the learner provided a response. At first, both could be done only through text. The computer would analyse students’ input and give feedback, and more sophisticated programs would react to students’ mistakes by branching to help screens and remedial activities.

While such programs and their underlying pedagogy still exist today, behaviouristic approaches to language learning have been rejected by most language teachers, and the increasing sophistication of computer technology has led CALL to other possibilities. The second phase described by Warschauer & Healey, Communicative CALL, is based on the communicative approach that became prominent in the late 1970s and 1980s (Underwood 1984).

In the communicative approach the focus is on using the language rather than analysis of the language, and grammar is taught implicitly rather than explicitly. It also allows for originality and flexibility in student output of language. The communicative approach coincided with the arrival of the PC, which made computing much more widely available and resulted in a boom in the development of software for language learning.

The first CALL software in this phase continued to provide skill practice but not in a drill format—for example: paced reading, text reconstruction and language games—but the computer remained the tutor. In this phase, computers provided context for students to use the language, such as asking for directions to a place, and programs not designed for language learning such as Sim City, Sleuth and Where in the World is Carmen Sandiego? were used for language learning.

Criticisms of this approach include using the computer in an ad hoc and disconnected manner for more marginal aims rather than the central aims of language teaching. The third phase of CALL described by Warschauer & Healey, Integrative CALL, starting from the 1990s, tried to address criticisms of the communicative approach by integrating the teaching of language skills into tasks or projects to provide direction and coherence.

It also coincided with the development of multimedia technology (providing text, graphics, sound and animation) as well as Computer-mediated communication (CMC). CALL in this period saw a definitive shift from the use of the computer for drill and tutorial purposes (the computer as a finite, authoritative base for a specific task) to a medium for extending education beyond the classroom.

Multimedia CALL started with interactive laser videodiscs such as Montevidisco (Schneider & Bennion 1984) and A la rencontre de Philippe (Fuerstenberg 1993), both of which were simulations of situations where the learner played a key role. These programs later were transferred to CD-ROMs, and new role-playing games (RPGs) such as Who is Oscar Lake? made their appearance in a range of different languages.

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