---
title: How to train the Adaptive AI Workspaces via memoQ
description: How to configure MT settings within memoQ
---

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# How to train the Adaptive AI Workspaces via memoQ

### 1. Open a document in memoQ

### 2. Once a segment is finalized, you can right-click on it or use the following keyboard shortcuts:

a. The **"Confirm" (Ctrl + Enter)** option sends the segments to Apertera, contributing to the Adaptive Engine training for the specified project (Workspace ID). These segments will also be added to your memoQ Translation Memories when enabled.

 

b. The **"Confirm Without Update" (Ctrl + Shift + Enter)** option sends the segments to Apertera, contributing to the Adaptive Engine training for the specified project (Workspace ID). However, these segments will *not* be added to the memoQ Translation Memories.

![](https://images.tango.us/workflows/0b79236d-f691-4b4f-afeb-dbeede72b1e6/steps/854c402d-a3be-4b6c-8549-e88d1c394e7c/cabb327c-e5d8-4d1a-8f89-543770100f5d.png?mark-x=1348&mark-y=941&m64=aHR0cHM6Ly9pbWFnZXMudGFuZ28udXMvc3RhdGljL2JsYW5rLnBuZz9tYXNrPWNvcm5lcnMmYm9yZGVyPTQlMkNEQjMwMzAmdz02MzAmaD0xMDkmZml0PWNyb3AmY29ybmVyLXJhZGl1cz0xMA%3D%3D)---------------------------------------------------------------- 

 

### **Sending adaptive learnings in Batches**

### 1. Open a document in memoQ

To initiate batch learning, navigate to the Preparation tab on the top ribbon and click "Confirm and Update**"** (or use the shortcut **Ctrl + Shift + U**).

![](https://support.apertera.com/hs-fs/hubfs/undefined-Oct-26-2026-02-05-07-4937-AM.png?width=670&height=344&name=undefined-Oct-26-2026-02-05-07-4937-AM.png)

### 2. Configure Scope and Status Settings

In the pop-up dialog box, define your desired Scope (e.g., the current document, selected documents, or the entire project). Under 'Segment status', select the target status for the segments you want to send to Apertera for Adaptive learning.

Click the OK button at the bottom of the dialog. This will batch-confirm the specified rows, updating your memoQ Translation Memory and simultaneously sending the batch of segments to Apertera to train your Adaptive Engine.

![](https://support.apertera.com/hs-fs/hubfs/undefined-Oct-26-2026-02-05-08-0958-AM.png?width=670&height=344&name=undefined-Oct-26-2026-02-05-08-0958-AM.png)

### 3.  Review Operation Results

Once the operation completes, a results dialog will appear displaying a detailed summary table.

![](https://support.apertera.com/hs-fs/hubfs/undefined-Oct-26-2026-02-05-07-1984-AM.png?width=670&height=551&name=undefined-Oct-26-2026-02-05-07-1984-AM.png)

*Note: Please ensure that the Apertera profile connected to your project is linked to an Adaptive Workspace (via your Workspace ID), and that Self-learning MT is enabled before confirming segments.*

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