README.md

---
license: apache-2.0
language:
- en
- ru
tags:
- translation
- dictionary
- nlp
- en-ru
- statistical-alignment
size_categories:
- 10K<n<100K
dataset_info:
  features:
    - name: english_word
      dtype: string
    - name: russian_word
      dtype: string
    - name: count
      dtype: int64
    - name: probability
      dtype: float64
  splits:
    - name: train
      num_examples: 56624
---

# en-ru-statistical-dict-20m-corpus

## Dataset Description

This dataset is a high-quality English-Russian lemmatized dictionary extracted from a parallel corpus of **[20 million sentences](https://huggingface.co/datasets/KvaytG/en-ru-parallel-20m)**. The dictionary was built using statistical alignment and rigorous filtering to ensure accuracy and relevance.

## Methodology

1. **Source:** Parallel corpus of 20,000,000 sentence pairs.
2. **Preprocessing:** - Tokenization and Lemmatization (SpaCy for English, PyMorphy3 for Russian).
   - Rare words in the corpus were replaced with `<unk>` tokens during training to optimize memory.
3. **Alignment:** Performed using `fast_align` (IBM Model 2) with forward and backward passes.
4. **Symmetrization:** `grow-diag-final-and` algorithm.
5. **Filtering:**
   - Numerical tokens and special characters were removed.
   - Minimum occurrence threshold: `count >= 50`.
   - Relative probability threshold: `probability >= 0.02` (2%).

## Dataset Structure

The dataset is provided in a single TSV (Tab-Separated Values) file:

| Column         | Description                                                  |
|:---------------|:-------------------------------------------------------------|
| `english_word` | Lemmatized English word                                      |
| `russian_word` | Lemmatized Russian translation                               |
| `count`        | Absolute number of times this pair was aligned in the corpus |
| `probability`  | Relative probability P(ru\|en) for this translation         |

## Example

For the word **"book"**:
- `книга`: 0.8156
- `бронирование`: 0.051
- `забронировать`: 0.0297

... and so on.

## Usage

```python
from datasets import load_dataset
dataset = load_dataset("KvaytG/en-ru-statistical-dict-20m-corpus", split="train")
```

## License

This dataset is released under the **Apache License 2.0**.

## Citation

```bibtex
@misc{kvaytg_en_ru_statistical_dict_20m_corpus,
  author       = {KvaytG},
  title        = {English-Russian Statistical Dictionary from 20M parallel corpus},
  year         = {2026},
  publisher    = {Hugging Face},
  journal      = {Hugging Face Datasets},
  url          = {https://huggingface.co/datasets/KvaytG/en-ru-statistical-dict-20m-corpus},
  note         = {Built from en-ru-parallel-20m using fast_align + grow-diag-final-and}
}
```