Update README.md

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@@ -21,7 +21,7 @@ We use [Intertext](https://wanthalf.saga.cz/intertext) to create the manual alig
In order to facilitate system evaluations, we delete the XML tags and save the clean gold alignment file with only sentence IDs in the [gold](./eval/mac/test/gold) directory In order to facilitate system evaluations, we delete the XML tags and save the clean gold alignment file with only sentence IDs in the [gold](./eval/mac/test/gold) directory
### Bible ### Bible
The **Bible** corpus is located in [corpus/bible](./corpus/bible) The **Bible** corpus is saved in [corpus/bible](./corpus/bible)
The directory makeup is similar to MAC-Test, except that there is no *intertext* directory for manual alignments. The directory makeup is similar to MAC-Test, except that there is no *intertext* directory for manual alignments.
@@ -34,7 +34,7 @@ All the experiments reported in the paper are conducted using [Google Colab](htt
### Job File ### Job File
Before performing the automatic alignment, a job file is created for each aligner for batch processing. Each row in the job file represents an alignment task, which is made of three tab-separated file names for source, target and output text. Before performing the automatic alignment, a job file is created for each aligner for batch processing. Each row in the job file represents an alignment task, which is made of three tab-separated file names for source, target and output text.
The job files for MAC-Test and Bible are located in *eval/mac/test/job* and *eval/bible/job* The job files for MAC-Test and Bible are located in *eval/mac/test/job* and *eval/bible/job* respectively.
### Sentence Embeddings ### Sentence Embeddings
Before embedding the source and target sentences, we use the following Python script to create the combinations of consecutive sentences: Before embedding the source and target sentences, we use the following Python script to create the combinations of consecutive sentences: