neuclir22-zh-dt.template

# Anserini Regressions: NeuCLIR22 — Chinese (Document Translation)

This page presents **document translation** regression experiments for the [TREC 2022 NeuCLIR Track](https://neuclir.github.io/), Chinese, with the following configuration:

+ Queries: English
+ Documents: Machine-translated documents from Chinese into English (corpus provided by the organizers)
+ Model: BM25

The exact configurations for these regressions are stored in [this YAML file](${yaml}).
Note that this page is automatically generated from [this template](${template}) as part of Anserini's regression pipeline, so do not modify this page directly; modify the template instead.

From one of our Waterloo servers (e.g., `orca`), the following command will perform the complete regression, end to end:

```
python src/main/python/run_regression.py --index --verify --search --regression ${test_name}
```

## Corpus Download

The NeuCLIR 2022 corpus can be downloaded following the instructions [here](https://neuclir.github.io/).

With the corpus downloaded, unpack into `collections/` and run the following command to perform the remaining steps below:

```bash
python src/main/python/run_regression.py --index --verify --search --regression ${test_name} \
  --corpus-path collections/${corpus}
```

## Indexing

Typical indexing command:

```
${index_cmds}
```

For additional details, see explanation of [common indexing options](${root_path}/docs/common-indexing-options.md).

## Retrieval

After indexing has completed, you should be able to perform retrieval as follows:

```
${ranking_cmds}
```

Evaluation can be performed using `trec_eval`:

```
${eval_cmds}
```

## Effectiveness

With the above commands, you should be able to reproduce the following results:

${effectiveness}

## Reproduction Log[*](${root_path}/docs/reproducibility.md)

To add to this reproduction log, modify [this template](${template}) and run `bin/build.sh` to rebuild the documentation.