TNT505 Machine Translation Post-Editing Assignment Sample SUSS Singapore

This course will give you a comprehensive understanding of machine translation, its history and recent advancements. You’ll learn how the NMT algorithm works as well as what it can do for your company’s business needs–including specific budget considerations along with timelines that work best for them.

In addition, you’ll gain industry insights from our in-house machine translation experts on how best to use this technology for your specific domain.

This course is ideal for business professionals who want to get a comprehensive understanding of machine translation and its potential applications for their business. It will also be helpful for IT professionals who want to learn more about this cutting-edge technology.

This course will focus on the skills of post-editing MT output based upon pre-established criteria to achieve a desired level of quality. In its end, students are required not only to show their ability but also to reflect on major challenges they face in this process and evaluate how efficient it was for them as well as their clients.

This course will give you a comprehensive understanding of machine translation, its history and recent advancements. You’ll learn how the NMT algorithm works as well as what it can do for your company’s business needs–including specific budget considerations along with timelines that work best for them.

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Assignment Brief 1: Compare different types of MT engines

There are a few different types of MT engines, each with its strengths and weaknesses. Here is a comparison of the most popular ones:

• Statistical Machine Translation (SMT): SMT models are based on statistical methods and learn to translate by observing large amounts of parallel training data. They work well for structured languages like English, French and German, but often struggle with more free-flowing languages like Korean and Japanese.
• Neural Machine Translation (NMT): NMT models are based on neural networks and learn to translate by “memorizing” large amounts of parallel training data. They have shown great promise in recent years, especially for translating between languages that have very different grammar structures (e.g. English to Chinese).
• Rule-based Machine Translation (RBMT): RBMT systems rely on hand-crafted rules to translate between languages. They are often more accurate than SMT or NMT for specific domains (e.g. legal documents) but require a lot of effort to create and maintain the rules.

Assignment Brief 2: Design workflow of human-aided machine translation

In human-aided machine translation (HMT), translators provide scientists with translations of set phrases or “snippets” that embody the key meaning of a message. Computational linguists then build statistical models from these translations, which are used to generate final translated versions of documents. The workflow may vary depending on the HMT system being used, but often involves the following steps:

1. Translators insert source text snippets into the HMT system and provide English translations for each one.
2. The computational linguists train a machine translation model using these translated snippets as well as other available data (such as parallel texts).
3. When a user enters a document into the HMT system for translation, the machine translation model is used to generate a preliminary translation.
4. The preliminary translation is presented to the translator, who can then edit it and add their translations for any text snippets that were not included in the original training data.

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Assignment Brief 3: Prioritise different tasks in MT post-editing

Here are three tips for prioritising different tasks in post-editing:

1. Always start by correcting the most glaring errors first. This will ensure that the text is as accurate as possible and make it easier for the reader to understand.
2. If there is time, focus on improving the style and rhythm of the text. This will make it more enjoyable to read and help to convey the author’s intended tone or message.
3. Finally, if there are any remaining major errors or unclear passages, correct these last. This will ensure that the text is error-free and easy to read.

Remember, post-editing is about more than just correcting errors. It’s also about making the text as readable and enjoyable as possible. By following these tips, you can ensure that your post-editing is both effective and efficient.

Assignment Brief 4: Formulate an approach to the use of MT

There is no one-size-fits-all answer to this question, as the use of MT will vary depending on the individual and their specific needs. However, a good starting point is to begin by using MT sporadically, then gradually increase the frequency and duration of use as needed.

Some people find that using MT every day helps improve their energy levels and overall well-being, while others find that they need to take occasional breaks from using it to allow their body time to adjust. It’s important to listen to your own body and do what feels best for you.

If you are interested in using MT regularly, it’s important to consult with a qualified healthcare professional to ensure that it’s safe for you to do so. They can help you determine the best dosage and frequency of use based on your individual needs.

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Assignment Brief 5: Predict MT output after pre-editing

If you’re asking about how to predict the output of a machine translation (MT) system after pre-editing, there are a few things to keep in mind. First, it’s important to note that no one can guarantee 100% accuracy when it comes to predicting MT output. There are simply too many variables at play, including the type of MT system being used, the quality of the input text, and the topic of the text itself. That said, there are some general guidelines you can follow to improve your chances of getting a reasonably accurate prediction.

When pre-editing text for translation, it’s important to keep the target audience in mind. The more specific you can be about who will be reading the translated text, the better. This will help you determine what level of language to use and what information to include or exclude. It’s also important to be as clear and concise as possible in your pre-editing. The more complex and confusing your text is, the more likely it is that the MT system will produce inaccurate results. Finally, make sure to proofread your text carefully before sending it off for translation. Even the smallest typo can potentially throw off the entire translation process and cause the MT system to produce inaccurate results.

Assignment Brief 6: Appraise MT output

It’s tough to appraise MT output without knowing the specific details of the translation project. Generally speaking, though, you want to look at things like accuracy, fluidity, and an overall understanding of the original text.

Accuracy is probably the most important factor when assessing MT output. You want to make sure that the translated text conveys the same meaning as the original text. This can be difficult to judge if you’re not a native speaker of both languages, but there are some telltale signs that something has been lost in translation. If there are frequent grammatical errors or awkward phrasing, that’s a good indication that accuracy has suffered.

Fluidity is another important consideration. A well-translated text should read like it was originally written in the target language. This is often where MT output falls short, as translations can often sound stilted and unnatural. Again, native speakers of both languages are generally the best judges of this.

Assignment Brief 7: Improve the efficiency of the current design and workflow

There are a few ways to improve the efficiency of your design and workflow.

One way is to make sure that you have a clear idea of what you want to achieve before you start designing. This will help you focus on the tasks that are most important and avoid getting bogged down in details that aren’t relevant.

Another way to improve efficiency is to streamline your design process as much as possible. For example, if you’re using Photoshop, take advantage of its automation features to speed up repetitive tasks. And when it comes to documenting your work, use templates and standardization wherever possible. These steps will save you time in the long run and help keep your designs consistent.

Finally, don’t be afraid to ask for help when you need it. Delegating tasks to others or outsourcing work can free up your time so that you can focus on the most important aspects of your design. And, if you’re working with a team, make sure everyone is aware of their roles and responsibilities from the start. This will ensure that everyone is on the same page and avoid confusion down the line.

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