mlsanityData to 14 Oct 2026

SentAlign: Accurate and Scalable Sentence Alignment

arXiv 2311.08982 ↗First posted 15 Nov 2023cs.CLcited by 9

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Abstract (arXiv)

We present SentAlign, an accurate sentence alignment tool designed to handle very large parallel document pairs. Given user-defined parameters, the alignment algorithm evaluates all possible alignment paths in fairly large documents of thousands of sentences and uses a divide-and-conquer approach to align documents containing tens of thousands of sentences. The scoring function is based on LaBSE bilingual sentence representations. SentAlign outperforms five other sentence alignment tools when evaluated on two different evaluation sets, German-French and English-Icelandic, and on a downstream machine translation task.

Key facts. Cited by 9 papers in the map (data through 14 Oct 2026). Builds on 8 of its 23 references that are in the map. First posted on arXiv 15 Nov 2023.

Builds on

8 of 23 references.

References · 8

  1. 2017Attention Is All You Needcited by 60,361
  2. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,399
  3. 2018A Call for Clarity in Reporting BLEU Scorescited by 1,799
  4. 2019fairseq: A Fast, Extensible Toolkit for Sequence Modelingcited by 1,488
  5. 2019Cross-lingual Language Model Pretrainingcited by 1,090
  6. 2020Language-agnostic BERT Sentence Embeddingcited by 627
  7. 2018Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyondcited by 434
  8. 2018On the Impact of Various Types of Noise on Neural Machine Translationcited by 76

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2024: 1; 2025: 3; 2026: 5.

9 papers.