Human-Machine Translation: Twinslator Platform Features and Operations

Human-Machine Translation: Twinslator Platform Features and Operations

Human-Machine Translation: Operation Methods of Twinslator Platform Features

1. Tool Introduction

Twinslator is short for “Twins Translator”; in Chinese, it translates to “Twin Translators”. At the first Transcendence Conference in 2018, He Enpei, the president of Transcendence Language Internet Technology Co., Ltd., proposed: “The good model of human-machine translation is to let AI grow alongside translators, acquiring the same cultural background and ideology as translators, becoming the twin translator of human translators: Twinslator.” With the advancement of machine translation to today’s neural network translation, various translation platforms have emerged endlessly. As a new type of AI translation tool, Twinslator aims to allow machines and translators to grow together, meaning that while machines assist translators in completing translation work, they learn the translators’ habits, language styles, and word choices, thereby helping translators efficiently complete their work. This is a brand new win-win working model.
2. Illustrated Tutorial

This is the entire operation interface of Twinslator. The core of Twinslator lies in the terminology database and corpus database, Twinslator lab, and “Translation Guest Jianghu” section. Those engaged in language learning and translation-related fields know that whether in the learning or translation process, the terminology database and corpus database are essential auxiliary tools. Through the author’s explanation, relevant learners can gain a certain understanding of Twinslator and master the basic operation methods.

Human-Machine Translation: Twinslator Platform Features and Operations

1 Establishing and Importing the Terminology and Corpus Databases

First, let’s take a look at the terminology database. After entering the terminology database, you can see options such as create new terminology database, edit database, public database, shared database, and delete database in the top menu bar. To create a terminology database, click on the create new terminology database option.

Human-Machine Translation: Twinslator Platform Features and Operations

After clicking create new terminology database, you will enter the following interface. Enter the terminology database name, industry, and language direction according to the relevant prompts.

Human-Machine Translation: Twinslator Platform Features and Operations

After establishing the terminology database, since this is the user’s own terminology database in Twinslator, you need to import the prepared terminology database by clicking import and selecting the local file to generate the terminology database.

Human-Machine Translation: Twinslator Platform Features and Operations

Then, after loading the terminology database, load the corpus database. Click on the left corpus database, then click create new corpus database.

Human-Machine Translation: Twinslator Platform Features and Operations

Similarly, give the corpus database a name, determine the relevant field, and ensure consistency with the terminology database.

Human-Machine Translation: Twinslator Platform Features and Operations

Click import to import the locally created corpus database.

Human-Machine Translation: Twinslator Platform Features and Operations

After clicking, a pop-up window will appear. Note that when importing the terminology database and corpus database, the platform only supports .tmx, .tbx, .csv, and .xlsx formats. Each file supports a maximum of 50,000 entries. Click import file format instructions to see examples of import files.

Human-Machine Translation: Twinslator Platform Features and Operations

Next, after establishing the terminology database and corpus database, we will go to the translation interface for translation, as shown in the translation interface below. Is everyone familiar with this interface? This is Twinslator’s machine translation platform. On this platform, first determine whether the language is foreign language to Chinese, Chinese to foreign language, or foreign language to foreign language.

Human-Machine Translation: Twinslator Platform Features and Operations

Next, select the industry and machine translation engine. It is recommended that everyone choose their established terminology database and corpus database based on the text they will be translating. Of course, if you are a paid user, you can completely skip creating a terminology database and corpus database and directly access other MT platforms based on Twinslator.

Human-Machine Translation: Twinslator Platform Features and Operations

Twinslator’s MT access is quite comprehensive. Of course, using these MT requires E values (a unique payment unit of Cloud Translation Guest), which means it is paid.

Human-Machine Translation: Twinslator Platform Features and Operations

2 Establishing and Training TwinslatorLab

Next, let’s introduce TwinslatorLab. Similarly, open the left menu bar on the platform’s start page to see Twinslator Lab and the Twinslator Market. This interface is the core part of the entire Twinslator platform, which is to establish your own Twinslator.

Human-Machine Translation: Twinslator Platform Features and Operations

Just like creating a terminology database and corpus database, when creating your own Twinslator, you also need to give it a name and determine the relevant field and language direction.

Human-Machine Translation: Twinslator Platform Features and Operations

Once your Twinslator is established, you can click on data cloning to enhance training.

Human-Machine Translation: Twinslator Platform Features and Operations

In this interface, drag the established terminology and corpus into it and click start synchronization, and your Twinslator will be born! Of course, as the amount of translation content increases, we must continuously let your Twinslator learn, so it is necessary to regularly enhance its training.

Human-Machine Translation: Twinslator Platform Features and Operations

Back to the Twinslator page, click continue cloning to input new terminology and corpus to update Twins’ translation data, enhancing the machine’s translation ability. After enhancement, you can click experience effect for verification.

Human-Machine Translation: Twinslator Platform Features and Operations

In the experience interface, you can compare your terminology database with MT from three other platforms. This is both a verification and a learning and improvement process.

Human-Machine Translation: Twinslator Platform Features and Operations

3 Translation Guest Jianghu

Open the left menu bar on the platform’s start page to find the Translation Guest Jianghu, where you can see the Discovery Cube and E-Power Mall.

Human-Machine Translation: Twinslator Platform Features and Operations

Human-Machine Translation: Twinslator Platform Features and Operations

You can see character packages of different capacities and price ranges, which are competitively priced in the industry. Of course, free users enjoy 50,000 free characters daily and can also earn cubes through sign-ins and tasks to exchange for characters. Therefore, if you have your own terminology database and corpus database, you can save a lot of expenses.

3. Learning Insights

Through my learning and production process regarding Twinslator, I have gained a new understanding of computer-assisted translation tools, not just limited to attending classes and completing assignments. This time, I truly have my own CAT tool, and what Twinslator brings me is a brand new computer-assisted translation experience. I personally believe that Twinslator will undoubtedly be the direction and trend of future CAT tool development. In this development context, translation and translation work will surely usher in a new era of development, bursting with new vitality, and giving rise to revolutionary changes in the CAT industry, greatly improving translators’ work efficiency and adding joy to their work.

4. Supporting Video

Author: Cong Disheng, Master’s in Translation, Dalian University of Foreign Languages

Reviewer: Wang Dongliang
This Issue Editor: Qi Yue
Human-Machine Translation: Twinslator Platform Features and Operations
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Human-Machine Translation: Twinslator Platform Features and Operations

Human-Machine Translation: Twinslator Platform Features and Operations

Human-Machine Translation: Twinslator Platform Features and Operations

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