diff --git a/customisation/alignment.md b/customisation/alignment.md
index 5e6cf222d..089587570 100644
--- a/customisation/alignment.md
+++ b/customisation/alignment.md
@@ -1,6 +1,29 @@
 ---
 parent: Customisation
-layout: coming_soon
 title: Alignment
-description:
+description: Linking corresponding sentences in the input and output languages
 ---
+
+**Alignment** is the process of identifying and linking the corresponding sentences in the input and output languages.
+
+Alignment can be used to create [parallel data](/parallel-data).
+The aligned parallel corpora are then used to [train](/training) machine translation models.
+The goal is to improve machine translation accuracy by recognizing patterns and their frequency in data.
+
+## Approaches
+
+- In manual alignment, human translators align corresponding [segmented sentences](/sentence-splitting) in the input and output languages.
+- Rule-based approaches use explicit heuristic rules, such as sentence length, word order, or other patterns observed in parallel data.
+- Statistical models rely on statistical algorithms that find and analyse relationship patterns in comparable corpora.
+The statistical relationships are based on the likelihood of observing alignments in a training corpus.
+- With neural approaches, alignment is predicted automatically through [neural networks](/neural-machine-translation#neural-networks) by mapping the input and output sentences into [vectors](/vector).
+
+## Challenges
+
+- Aligning sentences with varying lengths, punctuation, and complex structures can be challenging for alignment algorithms.
+- Many words and phrases can have multiple meanings or form idiomatic expressions.
+Semantic ambiguity can trigger inaccurate sentence alignments.
+For example, the English idiom `to make a mountain out of a molehill` corresponds to the German phrase `aus einer Mücke einen Elefanten zu machen`, resulting in misalignment.
+- Typological similarities of languages can result in sentence pairs that share highly similar linguistic properties but have different meanings and translations.
+Similarity-based interference can lead to incorrect alignments.
+For example, the sentence `I saw a man with a telescope.` can be interpreted in two ways, leading to different translations.
diff --git a/customisation/parallel-data.md b/customisation/parallel-data.md
index 9ffc3775e..4dbc49e7f 100644
--- a/customisation/parallel-data.md
+++ b/customisation/parallel-data.md
@@ -21,8 +21,7 @@ Parallel data sets can be created manually, automatically, or created synthetica
 - Human [post-editing](../workflows/post-editing.md)
 - [Crawling](crawling.md)
 - [Alignment](alignment.md)
-
-Parallel data can be created by crawling and aligned monolingual test, and by [back-translation](back-translation.md) or [back-copying](back-translation.md).
+- [Back-translation](back-translation.md) or [back-copying](back-translation.md)
 
 ### Goals