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--- |
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tags: |
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- espnet |
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- audio |
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- automatic-speech-recognition |
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language: ta |
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datasets: |
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- commonvoice |
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license: cc-by-4.0 |
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--- |
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## ESPnet2 ASR model |
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### `espnet/tamil_commonvoice_blstm` |
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This model was trained by dzeinali using commonvoice recipe in [espnet](https://github.com/espnet/espnet/). |
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### Demo: How to use in ESPnet2 |
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```bash |
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cd espnet |
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git checkout 716eb8f92e19708acfd08ba3bd39d40890d3a84b |
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pip install -e . |
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cd egs2/commonvoice/asr1 |
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./run.sh --skip_data_prep false --skip_train true --download_model espnet/tamil_commonvoice_blstm |
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``` |
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<!-- Generated by scripts/utils/show_asr_result.sh --> |
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# RESULTS |
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## Environments |
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- date: `Mon May 2 11:41:47 EDT 2022` |
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- python version: `3.9.5 (default, Jun 4 2021, 12:28:51) [GCC 7.5.0]` |
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- espnet version: `espnet 0.10.6a1` |
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- pytorch version: `pytorch 1.8.1+cu102` |
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- Git hash: `716eb8f92e19708acfd08ba3bd39d40890d3a84b` |
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- Commit date: `Thu Apr 28 19:50:59 2022 -0400` |
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## asr_train_asr_rnn_raw_ta_bpe150_sp |
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### WER |
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|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err| |
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|---|---|---|---|---|---|---|---|---| |
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|decode_rnn_asr_model_valid.acc.ave/test_ta|11499|72228|66.0|30.5|3.5|3.2|37.2|79.7| |
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### CER |
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|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err| |
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|---|---|---|---|---|---|---|---|---| |
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|decode_rnn_asr_model_valid.acc.ave/test_ta|11499|638106|93.5|3.8|2.7|1.8|8.3|79.9| |
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### TER |
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|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err| |
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|---|---|---|---|---|---|---|---|---| |
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|decode_rnn_asr_model_valid.acc.ave/test_ta|11499|422957|89.8|7.0|3.2|1.8|12.0|79.8| |
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## ASR config |
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<details><summary>expand</summary> |
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``` |
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config: conf/tuning/train_asr_rnn.yaml |
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print_config: false |
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log_level: INFO |
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dry_run: false |
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iterator_type: sequence |
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output_dir: exp/asr_train_asr_rnn_raw_ta_bpe150_sp |
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ngpu: 1 |
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seed: 0 |
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num_workers: 1 |
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num_att_plot: 3 |
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dist_backend: nccl |
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dist_init_method: env:// |
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dist_world_size: null |
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dist_rank: null |
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local_rank: 0 |
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dist_master_addr: null |
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dist_master_port: null |
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dist_launcher: null |
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multiprocessing_distributed: false |
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unused_parameters: false |
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sharded_ddp: false |
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cudnn_enabled: true |
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cudnn_benchmark: false |
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cudnn_deterministic: true |
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collect_stats: false |
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write_collected_feats: false |
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max_epoch: 15 |
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patience: 3 |
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val_scheduler_criterion: |
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- valid |
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- loss |
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early_stopping_criterion: |
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- valid |
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- loss |
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- min |
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best_model_criterion: |
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- - train |
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- loss |
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- min |
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- - valid |
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- loss |
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- min |
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- - train |
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- acc |
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- max |
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- - valid |
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- acc |
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- max |
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keep_nbest_models: |
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- 10 |
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nbest_averaging_interval: 0 |
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grad_clip: 5.0 |
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grad_clip_type: 2.0 |
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grad_noise: false |
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accum_grad: 1 |
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no_forward_run: false |
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resume: true |
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train_dtype: float32 |
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use_amp: false |
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log_interval: null |
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use_matplotlib: true |
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use_tensorboard: true |
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use_wandb: false |
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wandb_project: null |
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wandb_id: null |
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wandb_entity: null |
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wandb_name: null |
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wandb_model_log_interval: -1 |
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detect_anomaly: false |
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pretrain_path: null |
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init_param: [] |
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ignore_init_mismatch: false |
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freeze_param: [] |
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num_iters_per_epoch: null |
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batch_size: 30 |
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valid_batch_size: null |
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batch_bins: 1000000 |
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valid_batch_bins: null |
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train_shape_file: |
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- exp/asr_stats_raw_ta_bpe150_sp/train/speech_shape |
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- exp/asr_stats_raw_ta_bpe150_sp/train/text_shape.bpe |
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valid_shape_file: |
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- exp/asr_stats_raw_ta_bpe150_sp/valid/speech_shape |
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- exp/asr_stats_raw_ta_bpe150_sp/valid/text_shape.bpe |
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batch_type: folded |
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valid_batch_type: null |
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fold_length: |
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- 80000 |
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- 150 |
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sort_in_batch: descending |
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sort_batch: descending |
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multiple_iterator: false |
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chunk_length: 500 |
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chunk_shift_ratio: 0.5 |
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num_cache_chunks: 1024 |
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train_data_path_and_name_and_type: |
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- - dump/raw/train_ta_sp/wav.scp |
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- speech |
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- sound |
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- - dump/raw/train_ta_sp/text |
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- text |
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- text |
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valid_data_path_and_name_and_type: |
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- - dump/raw/dev_ta/wav.scp |
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- speech |
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- sound |
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- - dump/raw/dev_ta/text |
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- text |
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- text |
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allow_variable_data_keys: false |
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max_cache_size: 0.0 |
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max_cache_fd: 32 |
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valid_max_cache_size: null |
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optim: adadelta |
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optim_conf: |
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lr: 0.1 |
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scheduler: null |
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scheduler_conf: {} |
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token_list: |
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- <blank> |
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- <unk> |
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- ி |
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- ு |
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- ா |
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- வ |
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- ை |
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- ர |
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- ன |
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- ▁ப |
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- . |
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- ▁க |
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- ் |
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- ▁அ |
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- ட |
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- த |
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- க |
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- ே |
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- ம |
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- ல |
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- ம் |
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- ன் |
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- ும் |
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- ய |
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- ▁வ |
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- க்க |
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- ▁இ |
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- ▁த |
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- த்த |
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- ▁ |
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- து |
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- ந்த |
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- ப |
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- ▁ச |
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- ிய |
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- ▁ம |
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- ோ |
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- ெ |
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- ர் |
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- ரு |
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- ழ |
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- ப்ப |
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- ண |
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- ொ |
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- ▁ந |
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- ட்ட |
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- ▁எ |
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- ற |
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- ைய |
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- ச |
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- ள |
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- க் |
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- ில் |
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- ங்க |
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- ',' |
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- ண்ட |
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- ▁உ |
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- ன்ற |
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- ார் |
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- ப் |
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- ூ |
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- ல் |
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- ள் |
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- கள |
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- கள் |
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- ாக |
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- ற்ற |
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- டு |
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- ீ |
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- ந |
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- '!' |
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- '?' |
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- '"' |
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- ஏ |
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- ஸ |
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- ஞ |
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- ஷ |
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- ஜ |
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- ஓ |
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- '-' |
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- ஐ |
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- ஹ |
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- A |
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- E |
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- ங |
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- R |
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- N |
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- ஈ |
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- ஃ |
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- O |
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- I |
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- ; |
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- S |
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- T |
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- L |
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- எ |
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- இ |
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- அ |
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- H |
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- C |
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- D |
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- M |
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- U |
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- உ |
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- B |
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- G |
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- P |
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- Y |
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- '''' |
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- ௌ |
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- K |
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- ':' |
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- W |
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- ஆ |
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- F |
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- — |
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- V |
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- ” |
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- J |
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- Z |
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- ’ |
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- ‘ |
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- X |
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- Q |
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- ( |
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- ) |
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- · |
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- – |
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- ⁄ |
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- '3' |
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- '4' |
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- ◯ |
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- _ |
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- '&' |
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- ௗ |
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- • |
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- '`' |
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- ஔ |
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- “ |
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- ஊ |
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- š |
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- ഥ |
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- '1' |
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- '2' |
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- á |
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- ‚ |
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- é |
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- ô |
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- ஒ |
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- <sos/eos> |
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init: null |
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input_size: null |
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ctc_conf: |
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dropout_rate: 0.0 |
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ctc_type: builtin |
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reduce: true |
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ignore_nan_grad: true |
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joint_net_conf: null |
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model_conf: |
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ctc_weight: 0.5 |
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use_preprocessor: true |
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token_type: bpe |
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bpemodel: data/ta_token_list/bpe_unigram150/bpe.model |
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non_linguistic_symbols: null |
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cleaner: null |
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g2p: null |
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speech_volume_normalize: null |
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rir_scp: null |
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rir_apply_prob: 1.0 |
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noise_scp: null |
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noise_apply_prob: 1.0 |
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noise_db_range: '13_15' |
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frontend: default |
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frontend_conf: |
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fs: 16k |
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specaug: specaug |
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specaug_conf: |
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apply_time_warp: true |
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time_warp_window: 5 |
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time_warp_mode: bicubic |
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apply_freq_mask: true |
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freq_mask_width_range: |
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- 0 |
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- 27 |
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num_freq_mask: 2 |
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apply_time_mask: true |
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time_mask_width_ratio_range: |
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- 0.0 |
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- 0.05 |
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num_time_mask: 2 |
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normalize: global_mvn |
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normalize_conf: |
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stats_file: exp/asr_stats_raw_ta_bpe150_sp/train/feats_stats.npz |
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preencoder: null |
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preencoder_conf: {} |
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encoder: vgg_rnn |
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encoder_conf: |
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rnn_type: lstm |
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bidirectional: true |
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use_projection: true |
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num_layers: 4 |
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hidden_size: 1024 |
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output_size: 1024 |
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postencoder: null |
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postencoder_conf: {} |
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decoder: rnn |
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decoder_conf: |
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num_layers: 2 |
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hidden_size: 1024 |
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sampling_probability: 0 |
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att_conf: |
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atype: location |
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adim: 1024 |
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aconv_chans: 10 |
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aconv_filts: 100 |
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required: |
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- output_dir |
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- token_list |
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version: 0.10.6a1 |
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distributed: false |
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``` |
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</details> |
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### Citing ESPnet |
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```BibTex |
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@inproceedings{watanabe2018espnet, |
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author={Shinji Watanabe and Takaaki Hori and Shigeki Karita and Tomoki Hayashi and Jiro Nishitoba and Yuya Unno and Nelson Yalta and Jahn Heymann and Matthew Wiesner and Nanxin Chen and Adithya Renduchintala and Tsubasa Ochiai}, |
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title={{ESPnet}: End-to-End Speech Processing Toolkit}, |
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year={2018}, |
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booktitle={Proceedings of Interspeech}, |
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pages={2207--2211}, |
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doi={10.21437/Interspeech.2018-1456}, |
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url={http://dx.doi.org/10.21437/Interspeech.2018-1456} |
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} |
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``` |
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or arXiv: |
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```bibtex |
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@misc{watanabe2018espnet, |
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title={ESPnet: End-to-End Speech Processing Toolkit}, |
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author={Shinji Watanabe and Takaaki Hori and Shigeki Karita and Tomoki Hayashi and Jiro Nishitoba and Yuya Unno and Nelson Yalta and Jahn Heymann and Matthew Wiesner and Nanxin Chen and Adithya Renduchintala and Tsubasa Ochiai}, |
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year={2018}, |
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eprint={1804.00015}, |
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archivePrefix={arXiv}, |
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primaryClass={cs.CL} |
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} |
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``` |
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