metadata

annotations_creators:
  - expert-generated
language_creators:
  - crowdsourced
language:
  - bn
  - en
  - fil
  - hi
  - id
  - ja
  - km
  - lo
  - ms
  - my
  - th
  - vi
  - zh
license:
  - cc-by-4.0
multilinguality:
  - multilingual
  - translation
size_categories:
  - 100K<n<1M
  - 10K<n<100K
source_datasets:
  - original
task_categories:
  - translation
  - token-classification
task_ids:
  - parsing
paperswithcode_id: alt
pretty_name: Asian Language Treebank
configs:
  - alt-en
  - alt-jp
  - alt-km
  - alt-my
  - alt-my-transliteration
  - alt-my-west-transliteration
  - alt-parallel
dataset_info:
  - config_name: alt-parallel
    features:
      - name: SNT.URLID
        dtype: string
      - name: SNT.URLID.SNTID
        dtype: string
      - name: url
        dtype: string
      - name: translation
        dtype:
          translation:
            languages:
              - bg
              - en
              - en_tok
              - fil
              - hi
              - id
              - ja
              - khm
              - lo
              - ms
              - my
              - th
              - vi
              - zh
    splits:
      - name: train
        num_bytes: 68445916
        num_examples: 18088
      - name: validation
        num_bytes: 3710979
        num_examples: 1000
      - name: test
        num_bytes: 3814431
        num_examples: 1019
    download_size: 21285784
    dataset_size: 75971326
  - config_name: alt-en
    features:
      - name: SNT.URLID
        dtype: string
      - name: SNT.URLID.SNTID
        dtype: string
      - name: url
        dtype: string
      - name: status
        dtype: string
      - name: value
        dtype: string
    splits:
      - name: train
        num_bytes: 10075609
        num_examples: 17889
      - name: validation
        num_bytes: 544739
        num_examples: 988
      - name: test
        num_bytes: 567292
        num_examples: 1017
    download_size: 2739055
    dataset_size: 11187640
  - config_name: alt-jp
    features:
      - name: SNT.URLID
        dtype: string
      - name: SNT.URLID.SNTID
        dtype: string
      - name: url
        dtype: string
      - name: status
        dtype: string
      - name: value
        dtype: string
      - name: word_alignment
        dtype: string
      - name: jp_tokenized
        dtype: string
      - name: en_tokenized
        dtype: string
    splits:
      - name: train
        num_bytes: 21891867
        num_examples: 17202
      - name: validation
        num_bytes: 1181587
        num_examples: 953
      - name: test
        num_bytes: 1175624
        num_examples: 931
    download_size: 12007999
    dataset_size: 24249078
  - config_name: alt-my
    features:
      - name: SNT.URLID
        dtype: string
      - name: SNT.URLID.SNTID
        dtype: string
      - name: url
        dtype: string
      - name: value
        dtype: string
    splits:
      - name: train
        num_bytes: 20433275
        num_examples: 18088
      - name: validation
        num_bytes: 1111410
        num_examples: 1000
      - name: test
        num_bytes: 1135209
        num_examples: 1018
    download_size: 3028302
    dataset_size: 22679894
  - config_name: alt-km
    features:
      - name: SNT.URLID
        dtype: string
      - name: SNT.URLID.SNTID
        dtype: string
      - name: url
        dtype: string
      - name: km_pos_tag
        dtype: string
      - name: km_tokenized
        dtype: string
    splits:
      - name: train
        num_bytes: 12015411
        num_examples: 18088
      - name: validation
        num_bytes: 655232
        num_examples: 1000
      - name: test
        num_bytes: 673753
        num_examples: 1018
    download_size: 2410832
    dataset_size: 13344396
  - config_name: alt-my-transliteration
    features:
      - name: en
        dtype: string
      - name: my
        sequence: string
    splits:
      - name: train
        num_bytes: 4249424
        num_examples: 84022
    download_size: 1232127
    dataset_size: 4249424
  - config_name: alt-my-west-transliteration
    features:
      - name: en
        dtype: string
      - name: my
        sequence: string
    splits:
      - name: train
        num_bytes: 7412043
        num_examples: 107121
    download_size: 2830071
    dataset_size: 7412043

Dataset Card for Asian Language Treebank (ALT)

Dataset Description
Dataset Structure
Dataset Creation
Considerations for Using the Data
Additional Information

Dataset Description

Homepage: https://www2.nict.go.jp/astrec-att/member/mutiyama/ALT/
Leaderboard:
Paper: Introduction of the Asian Language Treebank
Point of Contact: ALT info

Dataset Summary

The ALT project aims to advance the state-of-the-art Asian natural language processing (NLP) techniques through the open collaboration for developing and using ALT. It was first conducted by NICT and UCSY as described in Ye Kyaw Thu, Win Pa Pa, Masao Utiyama, Andrew Finch and Eiichiro Sumita (2016). Then, it was developed under ASEAN IVO as described in this Web page.

The process of building ALT began with sampling about 20,000 sentences from English Wikinews, and then these sentences were translated into the other languages.

Supported Tasks and Leaderboards

Machine Translation, Dependency Parsing

Languages

It supports 13 language:

Bengali
English
Filipino
Hindi
Bahasa Indonesia
Japanese
Khmer
Lao
Malay
Myanmar (Burmese)
Thai
Vietnamese
Chinese (Simplified Chinese).

Dataset Structure

Data Instances

ALT Parallel Corpus

{
    "SNT.URLID": "80188",
    "SNT.URLID.SNTID": "1",
    "url": "http://en.wikinews.org/wiki/2007_Rugby_World_Cup:_Italy_31_-_5_Portugal",
    "bg": "[translated sentence]",
    "en": "[translated sentence]",
    "en_tok": "[translated sentence]",
    "fil": "[translated sentence]",
    "hi": "[translated sentence]",
    "id": "[translated sentence]",
    "ja": "[translated sentence]",
    "khm": "[translated sentence]",
    "lo": "[translated sentence]",
    "ms": "[translated sentence]",
    "my": "[translated sentence]",
    "th": "[translated sentence]",
    "vi": "[translated sentence]",
    "zh": "[translated sentence]"
}

ALT Treebank

{
    "SNT.URLID": "80188",
    "SNT.URLID.SNTID": "1",
    "url": "http://en.wikinews.org/wiki/2007_Rugby_World_Cup:_Italy_31_-_5_Portugal",
    "status": "draft/reviewed",
    "value": "(S (S (BASENP (NNP Italy)) (VP (VBP have) (VP (VP (VP (VBN defeated) (BASENP (NNP Portugal))) (ADVP (RB 31-5))) (PP (IN in) (NP (BASENP (NNP Pool) (NNP C)) (PP (IN of) (NP (BASENP (DT the) (NN 2007) (NNP Rugby) (NNP World) (NNP Cup)) (PP (IN at) (NP (BASENP (NNP Parc) (FW des) (NNP Princes)) (COMMA ,) (BASENP (NNP Paris) (COMMA ,) (NNP France))))))))))) (PERIOD .))"
}

ALT Myanmar transliteration

{
    "en": "CASINO",
    "my": [
      "ကက်စီနို",
      "ကစီနို",
      "ကာစီနို",
      "ကာဆီနို"
    ]
}

Data Fields

ALT Parallel Corpus

SNT.URLID: URL link to the source article listed in URL.txt
SNT.URLID.SNTID: index number from 1 to 20000. It is a seletected sentence from SNT.URLID

and bg, en, fil, hi, id, ja, khm, lo, ms, my, th, vi, zh correspond to the target language

ALT Treebank

status: it indicates how a sentence is annotated; draft sentences are annotated by one annotater and reviewed sentences are annotated by two annotater

The annotatation is different from language to language, please see their guildlines for more detail.

Data Splits

	train	valid	test
# articles	1698	98	97
# sentences	18088	1000	1018

Dataset Creation

Curation Rationale

The ALT project was initiated by the National Institute of Information and Communications Technology, Japan (NICT) in 2014. NICT started to build Japanese and English ALT and worked with the University of Computer Studies, Yangon, Myanmar (UCSY) to build Myanmar ALT in 2014. Then, the Badan Pengkajian dan Penerapan Teknologi, Indonesia (BPPT), the Institute for Infocomm Research, Singapore (I2R), the Institute of Information Technology, Vietnam (IOIT), and the National Institute of Posts, Telecoms and ICT, Cambodia (NIPTICT) joined to make ALT for Indonesian, Malay, Vietnamese, and Khmer in 2015.

Source Data

Initial Data Collection and Normalization

[More Information Needed]

Who are the source language producers?

The dataset is sampled from the English Wikinews in 2014. These will be annotated with word segmentation, POS tags, and syntax information, in addition to the word alignment information by linguistic experts from

National Institute of Information and Communications Technology, Japan (NICT) for Japanses and English
University of Computer Studies, Yangon, Myanmar (UCSY) for Myanmar
the Badan Pengkajian dan Penerapan Teknologi, Indonesia (BPPT) for Indonesian
the Institute for Infocomm Research, Singapore (I2R) for Malay
the Institute of Information Technology, Vietnam (IOIT) for Vietnamese
the National Institute of Posts, Telecoms and ICT, Cambodia for Khmer

Annotations

Annotation process

[More Information Needed]

Who are the annotators?

[More Information Needed]

Personal and Sensitive Information

[More Information Needed]

Considerations for Using the Data

Social Impact of Dataset

[More Information Needed]

Discussion of Biases

[More Information Needed]

Other Known Limitations

[More Information Needed]

Additional Information

Dataset Curators

National Institute of Information and Communications Technology, Japan (NICT) for Japanses and English
University of Computer Studies, Yangon, Myanmar (UCSY) for Myanmar
the Badan Pengkajian dan Penerapan Teknologi, Indonesia (BPPT) for Indonesian
the Institute for Infocomm Research, Singapore (I2R) for Malay
the Institute of Information Technology, Vietnam (IOIT) for Vietnamese
the National Institute of Posts, Telecoms and ICT, Cambodia for Khmer

Licensing Information

Creative Commons Attribution 4.0 International (CC BY 4.0)

Citation Information

Please cite the following if you make use of the dataset:

Hammam Riza, Michael Purwoadi, Gunarso, Teduh Uliniansyah, Aw Ai Ti, Sharifah Mahani Aljunied, Luong Chi Mai, Vu Tat Thang, Nguyen Phuong Thai, Vichet Chea, Rapid Sun, Sethserey Sam, Sopheap Seng, Khin Mar Soe, Khin Thandar Nwet, Masao Utiyama, Chenchen Ding. (2016) "Introduction of the Asian Language Treebank" Oriental COCOSDA.

BibTeX:

@inproceedings{riza2016introduction,
  title={Introduction of the asian language treebank},
  author={Riza, Hammam and Purwoadi, Michael and Uliniansyah, Teduh and Ti, Aw Ai and Aljunied, Sharifah Mahani and Mai, Luong Chi and Thang, Vu Tat and Thai, Nguyen Phuong and Chea, Vichet and Sam, Sethserey and others},
  booktitle={2016 Conference of The Oriental Chapter of International Committee for Coordination and Standardization of Speech Databases and Assessment Techniques (O-COCOSDA)},
  pages={1--6},
  year={2016},
  organization={IEEE}
}

Contributions

Thanks to @chameleonTK for adding this dataset.

Datasets:

mutiyama
/

alt

Dataset Card for Asian Language Treebank (ALT)

Table of Contents

Dataset Description

Dataset Summary

Supported Tasks and Leaderboards

Languages

Dataset Structure

Data Instances

ALT Parallel Corpus

ALT Treebank

ALT Myanmar transliteration

Data Fields

ALT Parallel Corpus

ALT Treebank

Data Splits

Dataset Creation

Curation Rationale

Source Data

Initial Data Collection and Normalization

Who are the source language producers?

Annotations

Annotation process

Who are the annotators?

Personal and Sensitive Information

Considerations for Using the Data

Social Impact of Dataset

Discussion of Biases

Other Known Limitations

Additional Information

Dataset Curators

Licensing Information

Citation Information

Contributions