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+# Experiment 3: TBASE.SCB-1M+MT-OPUS
+
+
+In this experiment, we train Transformer BASE model on `scb-mt-en-th-2020+mt-opus` version 1.0 and `mt-opus` version 1.0. The total number of English-Thai segment pairs after text cleaning and filtering is __4,319,905__.
+
+
+Similary to the Experimetn 1,2, the Transformer BASE model used in this experiment consists of 6 encoder and 6 decoder blocks, 512 embedding dimensions, and 2,048 feed forward hidden units. The dropout rate is set to 0.3. The embedding of decoder input and output are shared. Maximum number of tokens per mini-batch is 9,750. The optimizer is Adam with initial learning rate of 1e-7 and weight decay rate of 0.0. The learning rate has an inverse squared schedule with warmup for the first 4,000 updates. Label smoothing of 0.1 is applied during training. The criteria for selecting the best model checkpoint is label-smoothed cross entropy loss. 
+
+
+We train each model on 1 NVIDIA Tesla V100 GPU (as a part of [DGX-1](https://images.nvidia.com/content/pdf/dgx1-v100-system-architecture-whitepaper.pdf)) with mixed-precision training (fp16) and gradient accumulation for 16 steps.
+
+<br/>
+
+## Experiment setup
+
+1. Package Installlation
+
+
+    1.1 Install required Python packages via `pip install`
+
+    ```
+    pip install -r requirements.txt
+    ```
+
+    1.2 Install [Fairseq Toolkit](https://github.com/pytorch/fairseq/tree/master/fairseq) from source
+
+
+    ```
+    bash scripts/install_fairseq.sh y
+    ```
+
+    Note: When the first argument is specified as `y`, it will install [apex](https://github.com/NVIDIA/apex), an extension for mixed-precision training in Pytorch, designed for host machine with GPUs. If specify this argument as `n`, it will only install `fairseq.` The default value is `n`. 
+
+    In our experiment, we install `apex` librery.
+
+
+2. Download Dataset
+
+    Download `scb-mt-en-th-2020+mt-opus + mt-opus`dataset - from the following script. 
+    
+    ```
+    bash scripts/download_dataset.scb_mt-mt_opus.sh 1.0
+    ```   
+
+    Note: The first argument indicates the version of  `scb-mt-en-th-2020+mt-opus + mt-opus` dataset. (default value is `1.0`) 
+
+<br/>
+
+## Data Preprocessing
+
+1. Perform text cleaning and filtering
+
+    ```
+    python ./scripts/clean_text.py ./dataset/raw/scb-mt-en-th-2020+mt-opus \
+        --unicode_norm NFKC \
+        --out_dir ./dataset/cleaned/scb-mt-en-th-2020+mt-opus
+    ```
+
+2. Merge csv files into txt file.
+
+    ```
+    python ./scripts/merge_csv_files.py ./dataset/cleaned/scb-mt-en-th-2020+mt-opus/ \
+        --out_dir ./dataset/merged/scb-mt-en-th-2020+mt-opus/
+    ```
+
+3. Split the dataset into train/val/test set with the ratio 90/10
+
+    ```
+    python ./scripts/split_dataset.py ./dataset/merged/scb-mt-en-th-2020+mt-opus/en-th.merged.csv \
+        0.8 \
+        0.1 \
+        --stratify \
+        --seed 2020 \
+        --out_dir ./dataset/split/scb-mt-en-th-2020+mt-opus
+    ```
+
+    As this script splits train/val/test set differently each time, we provide our version of train/val/test split in order to reproduce our experiment. This can be download via the following script.
+
+    ```
+    bash scripts/download_dataset_split.scm-1m+mt-opus.sh
+    ```
+
+4. Perform text preprocessing for th→en
+
+    newmm→moses
+
+    ```bash
+    python ./scripts/preprocess_tokenize.py \
+        --out_dir ./dataset/tokenized/scb-mt-en-th-2020+mt-opus/th-en/newmm-moses/ \
+        --spm_out_dir ./dataset/spm/scb-mt-en-th-2020+mt-opus/th-en \
+        --split_dataset_dir ./dataset/split/scb-mt-en-th-2020+mt-opus \
+        --src_lang th \
+        --tgt_lang en \
+        --src_tokenizer newmm \
+        --tgt_tokenizer moses
+    ```
+
+    newmm→spm
+
+    ```bash
+    python ./scripts/preprocess_tokenize.py \
+        --out_dir ./dataset/tokenized/scb-mt-en-th-2020+mt-opus/th-en/newmm-spm/ \
+        --spm_out_dir ./dataset/spm/scb-mt-en-th-2020+mt-opus/th-en \
+        --split_dataset_dir ./dataset/split/scb-mt-en-th-2020+mt-opus \
+        --src_lang th \
+        --tgt_lang en \
+        --tgt_spm_vocab_size 16000 \
+        --src_tokenizer newmm \
+        --tgt_tokenizer spm
+    ```
+
+    spm→moses
+
+    ```bash
+    python ./scripts/preprocess_tokenize.py \
+        --out_dir ./dataset/tokenized/scb-mt-en-th-2020+mt-opus/th-en/spm-moses/ \
+        --spm_out_dir ./dataset/spm/scb-mt-en-th-2020+mt-opus/th-en \
+        --split_dataset_dir ./dataset/split/scb-mt-en-th-2020+mt-opus \
+        --src_lang th \
+        --tgt_lang en \
+        --src_spm_vocab_size 16000 \
+        --src_tokenizer spm \
+        --tgt_tokenizer moses
+    ```
+
+    spm→spm
+
+    ```bash
+    python ./scripts/preprocess_tokenize.py \
+        --out_dir ./dataset/tokenized/scb-mt-en-th-2020+mt-opus/th-en/spm-spm/ \
+        --spm_out_dir ./dataset/spm/scb-mt-en-th-2020+mt-opus/th-en \
+        --split_dataset_dir ./dataset/split/scb-mt-en-th-2020+mt-opus \
+        --src_lang th \
+        --tgt_lang en \
+        --src_spm_vocab_size 16000 \
+        --tgt_spm_vocab_size 16000 \
+        --src_tokenizer spm \
+        --tgt_tokenizer spm
+    ```
+
+5. Perform text preprocessing for en→th
+
+    moses→newmm
+
+    ```bash
+    python ./scripts/preprocess_tokenize.py \
+        --out_dir ./dataset/tokenized/scb-mt-en-th-2020+mt-opus/en-th/moses-newmm_space/ \
+        --spm_out_dir ./dataset/spm/scb-mt-en-th-2020+mt-opus/en-th \
+        --split_dataset_dir ./dataset/split/scb-mt-en-th-2020+mt-opus \
+        --src_lang en \
+        --tgt_lang th \
+        --src_tokenizer moses \
+        --tgt_tokenizer newmm_space
+    ```
+
+    moses→spm
+
+    ```bash
+    python ./scripts/preprocess_tokenize.py \
+        --out_dir ./dataset/tokenized/scb-mt-en-th-2020+mt-opus/en-th/moses-spm/ \
+        --spm_out_dir ./dataset/spm/scb-mt-en-th-2020+mt-opus/en-th \
+        --split_dataset_dir ./dataset/split/scb-mt-en-th-2020+mt-opus \
+        --src_lang en \
+        --tgt_lang th \
+        --tgt_spm_vocab_size 16000 \
+        --src_tokenizer moses \
+        --tgt_tokenizer spm
+    ```
+
+    spm→newmm
+
+    ```bash
+    python ./scripts/preprocess_tokenize.py \
+        --out_dir ./dataset/tokenized/scb-mt-en-th-2020+mt-opus/en-th/spm-newmm_space/ \
+        --spm_out_dir ./dataset/spm/scb-mt-en-th-2020+mt-opus/en-th \
+        --split_dataset_dir ./dataset/split/scb-mt-en-th-2020+mt-opus \
+        --src_lang en \
+        --tgt_lang th \
+        --src_spm_vocab_size 16000 \
+        --src_tokenizer spm \
+        --tgt_tokenizer newmm_space
+    ```
+
+    spm→spm
+
+    ```bash
+    python ./scripts/preprocess_tokenize.py \
+        --out_dir ./dataset/tokenized/scb-mt-en-th-2020+mt-opus/en-th/spm-spm/ \
+        --spm_out_dir ./dataset/spm/scb-mt-en-th-2020+mt-opus/en-th \
+        --split_dataset_dir ./dataset/split/scb-mt-en-th-2020+mt-opus \
+        --src_lang en \
+        --tgt_lang th \
+        --src_spm_vocab_size 16000 \
+        --tgt_spm_vocab_size 16000 \
+        --src_tokenizer spm \
+        --tgt_tokenizer spm
+    ```
+
+6. Binarize tokenized segments in train/val/test with `fairseq-preprocess` via the following script.
+
+    ```
+    bash ./scripts/fairseq_preprocess.train_test.sh th en 130000 130000 ./dataset/tokenized/scb-mt-en-th-2020+mt-opus/th-en/newmm-moses ./dataset/binarized/scb-mt-en-th-2020+mt-opus/th-en/newmm-moses/130000-130000/
+
+    bash ./scripts/fairseq_preprocess.train_test.sh th en 130000 16000 ./dataset/tokenized/scb-mt-en-th-2020+mt-opus/th-en/newmm-spm ./dataset/binarized/scb-mt-en-th-2020+mt-opus/th-en/newmm-spm/130000-16000/
+
+    bash ./scripts/fairseq_preprocess.train_test.sh th en 16000 130000 ./dataset/tokenized/scb-mt-en-th-2020+mt-opus/th-en/spm-moses ./dataset/binarized/scb-mt-en-th-2020+mt-opus/th-en/spm-moses/16000-130000/
+
+    bash ./scripts/fairseq_preprocess.train_test.sh th en 32000 32000 ./dataset/tokenized/scb-mt-en-th-2020+mt-opus/th-en/spm-spm ./dataset/binarized/scb-mt-en-th-2020+mt-opus/th-en/spm-spm/32000-joined/ --joined-dictionary
+
+    bash ./scripts/fairseq_preprocess.train_test.sh en th 130000 130000 ./dataset/tokenized/scb-mt-en-th-2020+mt-opus/en-th/moses-newmm_space ./dataset/binarized/scb-mt-en-th-2020+mt-opus/en-th/moses-newmm_space/130000-130000/
+
+    bash ./scripts/fairseq_preprocess.train_test.sh en th 130000 16000 ./dataset/tokenized/scb-mt-en-th-2020+mt-opus/en-th/moses-spm ./dataset/binarized/scb-mt-en-th-2020+mt-opus/en-th/moses-spm/130000-16000/
+
+    bash ./scripts/fairseq_preprocess.train_test.sh en th 16000 130000 ./dataset/tokenized/scb-mt-en-th-2020+mt-opus/en-th/spm-newmm_space ./dataset/binarized/scb-mt-en-th-2020+mt-opus/en-th/spm-newmm_space/16000-130000/
+
+    bash ./scripts/fairseq_preprocess.train_test.sh en th 32000 32000 ./dataset/tokenized/scb-mt-en-th-2020+mt-opus/en-th/spm-spm ./dataset/binarized/scb-mt-en-th-2020+mt-opus/en-th/spm-spm/32000-joined/ --joined-dictionary
+    ```
+
+<br/>
+
+## Model Training
+
+
+Train Transformer BASE model via the following script: `scripts/fairseq_train.transformer_base.single_gpu.fp16.sh`
+
+Note: The first argument indicate the ID of GPU. In this case, we train each model on 1 GPU (`GPU_ID`: 0-7).
+
+
+1. Train models for th→en direction
+
+    1.1 moses→newmm
+
+    ```bash
+    bash ./scripts/fairseq_train.transformer_base.single_gpu.fp16 0 ./dataset/binarized/scb-mt-en-th-2020+mt-opus/th-en/newmm-moses/130000-130000/ scb-mt-en-th-2020+mt-opus/th-en/newmm-moses/130000-130000 9750
+    ```
+
+    1.2 moses→spm
+
+    ```bash
+    bash ./scripts/fairseq_train.transformer_base.single_gpu.fp16 1 ./dataset/binarized/scb-mt-en-th-2020+mt-opus/th-en/newmm-spm/130000-16000/ scb-mt-en-th-2020+mt-opus/th-en/newmm-spm/130000-16000 9750
+    ```
+
+    1.3 spm→newmm
+
+    ```bash
+    bash ./scripts/fairseq_train.transformer_base.single_gpu.fp16 2 ./dataset/binarized/scb-mt-en-th-2020+mt-opus/th-en/spm-moses/16000-130000/ scb-mt-en-th-2020+mt-opus/th-en/spm-moses/16000-130000 9750
+    ```
+
+    1.4 spm→spm
+
+    ```bash
+    bash ./scripts/fairseq_train.transformer_base.single_gpu.fp16 3 ./dataset/binarized/scb-mt-en-th-2020+mt-opus/th-en/spm-spm/32000-joined/ scb-mt-en-th-2020+mt-opus/th-en/spm-spm/32000-joined 9750
+    ```
+
+2. Train models for en→th direction
+
+    2.1 newmm→moses
+
+    ```bash
+    bash ./scripts/fairseq_train.transformer_base.single_gpu.fp16 4 ./dataset/binarized/scb-mt-en-th-2020+mt-opus/en-th/moses-newmm_space/130000-130000/ scb-mt-en-th-2020+mt-opus/en-th/moses-newmm_space/130000-130000 9750
+    ```
+
+    2.2 newmm→spm
+
+    ```bash
+    bash ./scripts/fairseq_train.transformer_base.single_gpu.fp16 5  ./dataset/binarized/scb-mt-en-th-2020+mt-opus/en-th/moses-spm/130000-16000/ scb-mt-en-th-2020+mt-opus/en-th/moses-spm/130000-16000 9750
+
+    ```
+
+    2.3 spm→moses
+
+    ```bash
+    bash ./scripts/fairseq_train.transformer_base.single_gpu.fp16 6 ./dataset/binarized/scb-mt-en-th-2020+mt-opus/en-th/spm-newmm_space/16000-130000/ scb-mt-en-th-2020+mt-opus/en-th/spm-newmm_space/16000-130000 9750
+    ```
+
+    2.4 spm→spm
+
+    ```bash
+    bash ./scripts/fairseq_train.transformer_base.single_gpu.fp16 7 ./dataset/binarized/scb-mt-en-th-2020+mt-opus/en-th/spm-spm/32000-joined/ scb-mt-en-th-2020+mt-opus/en-th/spm-spm/32000-joined 9750
+    ```
+
+
+
+<br/>
+
+## Model Evaluation
+
+
+In this experiment, we only evaluate on Thai-Englush IWSLT 2015 test sets (tst2010-2013).
+
+
+### 1. Evaluate models on Thai-Englush IWSLT 2015 test sets (tst2010-2013). 
+
+The total number of segment pairs is 4,242.
+
+#### 1.1 Evaluate models on th→en direction
+
+1.1.1 newmm→moses
+
+```bash
+CUDA_VISIBLE_DEVICES=0 bash ./scripts/evaluate_model.iwslt2015.sh \
+./checkpoints/scb-mt-en-th-2020+mt-opus/th-en/newmm-moses/130000-130000/checkpoint_best.pt \
+./dataset/binarized/scb-mt-en-th-2020+mt-opus/th-en/newmm-moses/130000-130000 \
+th \
+en \
+word \
+word \
+./iwslt_2015/test/tst2010-2013_th-en.th \
+./iwslt_2015/test/tst2010-2013_th-en.en \
+./translation_results/scb-mt-en-th-2020+mt-opus@eval_on@iwslt2015/th-en/newmm-moses/130000-130000/checkpoint_best \
+64 \
+4 
+```
+
+1.1.2 newmm→spm
+
+```bash
+CUDA_VISIBLE_DEVICES=0 bash ./scripts/evaluate_model.iwslt2015.sh \
+./checkpoints/scb-mt-en-th-2020+mt-opus/th-en/newmm-spm/130000-16000/checkpoint_best.pt \
+./dataset/binarized/scb-mt-en-th-2020+mt-opus/th-en/newmm-spm/130000-16000 \
+th \
+en \
+word \
+sentencepiece \
+./iwslt_2015/test/tst2010-2013_th-en.th \
+./iwslt_2015/test/tst2010-2013_th-en.en \
+./translation_results/scb-mt-en-th-2020+mt-opus@eval_on@iwslt2015/th-en/newmm-spm/130000-16000/checkpoint_best \
+64 \
+4
+```
+
+1.1.3 spm→moses
+
+```bash
+CUDA_VISIBLE_DEVICES=0 bash ./scripts/evaluate_model.iwslt2015.sh \
+./checkpoints/scb-mt-en-th-2020+mt-opus/th-en/spm-moses/16000-130000/checkpoint_best.pt \
+./dataset/binarized/scb-mt-en-th-2020+mt-opus/th-en/spm-moses/16000-130000 \
+th \
+en \
+sentencepiece \
+word \
+./iwslt_2015/test/tst2010-2013_th-en.th \
+./iwslt_2015/test/tst2010-2013_th-en.en \
+./translation_results/scb-mt-en-th-2020+mt-opus@eval_on@iwslt2015/th-en/spm-moses/16000-130000/checkpoint_best \
+64 \
+4 \
+./dataset/spm/scb-mt-en-th-2020+mt-opus/th-en/spm.th.v-16000.cased.model
+```
+
+1.1.4 spm→spm
+
+```bash
+CUDA_VISIBLE_DEVICES=0 bash ./scripts/evaluate_model.iwslt2015.sh \
+./checkpoints/scb-mt-en-th-2020+mt-opus/th-en/spm-spm/32000-joined/checkpoint_best.pt \
+./dataset/binarized/scb-mt-en-th-2020+mt-opus/th-en/spm-spm/32000-joined \
+th \
+en \
+sentencepiece \
+sentencepiece \
+./iwslt_2015/test/tst2010-2013_th-en.th \
+./iwslt_2015/test/tst2010-2013_th-en.en \
+./translation_results/scb-mt-en-th-2020+mt-opus@eval_on@iwslt2015/th-en/spm-spm/32000-joined/checkpoint_best \
+64 \
+4 \
+./dataset/spm/scb-mt-en-th-2020+mt-opus/th-en/spm.th.v-16000.cased.model
+```
+
+
+#### 1.2 Evaluate models on en→th direction
+
+
+Pretokenize Thai target sentences with PyThaiNLP's **newmm** dictionary-based word tokenizer with the following script.
+
+```
+python ./scripts/th_newmm_space_tokenize.py \
+./iwslt_2015/test/tst2010-2013_th-en.th \
+./iwslt_2015/test/tst2010-2013_th-en.th.ref.tok
+```
+
+1.2.1 moses→newmm_space
+
+```bash
+CUDA_VISIBLE_DEVICES=0 bash ./scripts/evaluate_model.iwslt2015.sh \
+./checkpoints/scb-mt-en-th-2020+mt-opus/en-th/moses-newmm_space/130000-130000/checkpoint_best.pt \
+./dataset/binarized/scb-mt-en-th-2020+mt-opus/en-th/moses-newmm_space/130000-130000 \
+en \
+th \
+word \
+word \
+./iwslt_2015/test/tst2010-2013_th-en.en \
+./iwslt_2015/test/tst2010-2013_th-en.th \
+./translation_results/scb-mt-en-th-2020+mt-opus@eval_on@iwslt2015/en-th/moses-newmm_space/130000-130000/checkpoint_best \
+64 \
+4    
+```
+
+1.2.2 moses→spm
+
+```bash
+CUDA_VISIBLE_DEVICES=0 bash ./scripts/evaluate_model.iwslt2015.sh \
+./checkpoints/scb-mt-en-th-2020+mt-opus/en-th/moses-spm/130000-16000/checkpoint_best.pt \
+./dataset/binarized/scb-mt-en-th-2020+mt-opus/en-th/moses-spm/130000-16000 \
+en \
+th \
+word \
+sentencepiece \
+./iwslt_2015/test/tst2010-2013_th-en.en \
+./iwslt_2015/test/tst2010-2013_th-en.th \
+./translation_results/scb-mt-en-th-2020+mt-opus@eval_on@iwslt2015/en-th/moses-spm/130000-16000/checkpoint_best \
+64 \
+4
+```
+
+1.2.3 spm→newmm_space
+
+```bash
+CUDA_VISIBLE_DEVICES=0 bash ./scripts/evaluate_model.iwslt2015.sh \
+./checkpoints/scb-mt-en-th-2020+mt-opus/en-th/spm-newmm_space/16000-130000/checkpoint_best.pt \
+./dataset/binarized/scb-mt-en-th-2020+mt-opus/en-th/spm-newmm_space/16000-130000 \
+en \
+th \
+sentencepiece \
+word \
+./iwslt_2015/test/tst2010-2013_th-en.en \
+./iwslt_2015/test/tst2010-2013_th-en.th \
+./translation_results/scb-mt-en-th-2020+mt-opus@eval_on@iwslt2015/en-th/spm-newmm_space/16000-130000/checkpoint_best \
+64 \
+4 \
+./dataset/spm/scb-mt-en-th-2020+mt-opus/en-th/spm.en.v-16000.cased.model
+```
+
+1.2.4 spm→spm
+
+```bash
+CUDA_VISIBLE_DEVICES=0 bash ./scripts/evaluate_model.iwslt2015.sh \
+./checkpoints/scb-mt-en-th-2020+mt-opus/en-th/spm-spm/32000-joined/checkpoint_best.pt \
+./dataset/binarized/scb-mt-en-th-2020+mt-opus/en-th/spm-spm/32000-joined \
+en \
+th \
+sentencepiece \
+sentencepiece \
+./iwslt_2015/test/tst2010-2013_th-en.en \
+./iwslt_2015/test/tst2010-2013_th-en.th \
+./translation_results/scb-mt-en-th-2020+mt-opus@eval_on@iwslt2015/en-th/spm-spm/32000-joined/checkpoint_best \
+64 \
+4 \
+./dataset/spm/scb-mt-en-th-2020+mt-opus/en-th/spm.en.v-16000.cased.model
+```
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