TUFS Asian Language Parallel Corpus (TALPCo)

Introduction

The TUFS Asian Language Parallel Corpus (TALPCo) is an open parallel corpus consisting of Japanese sentences and their translations into Burmese (Myanmar; the official language of the Republic of the Union of Myanmar), Malay (the national language of Malaysia, Singapore and Brunei), Indonesian, Thai, Vietnamese and English. TALPCo is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license. See the paper below for the details of TALPCo.

How to cite

• (For Burmese, Malay and Indonesian translations)
  Nomoto, Hiroki, Kenji Okano, David Moeljadi and Hideo Sawada. 2018. TUFS Asian Language Parallel Corpus (TALPCo). Proceedings of the Twenty-Fourth Annual Meeting of the Association for Natural Language Processing, 436-439.
• (For Thai and Vietnamese translations, and interpersonal meaning annotations)
  Nomoto, Hiroki, Kenji Okano, Sunisa Wittayapanyanon and Junta Nomura. 2019. Interpersonal meaning annotation for Asian language corpora: The case of TUFS Asian Language Parallel Corpus (TALPCo). Proceedings of the Twenty-Fifth Annual Meeting of the Association for Natural Language Processing, .

Contents

• data_jpn.txt Japanese (raw sentences)
• data_jpn-token.txt Japanese (tokenized sentences)
• data_jpn-IPSpkr.csv Japanese (interpersonal meaning annotation, speaker)
• data_jpn-IPAddr.csv Japanese (interpersonal meaning annotation, addressee)
• data_jpn-IPLex.csv Japanese (interpersonal meaning annotation, lexical)

---

• data_myn.txt Burmese (raw sentences)
• data_myn-token.txt Burmese (tokenized sentences)
• data_myn-ps.txt Burmese (POS-tagged sentences)

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• data_zsm.txt Malay (raw sentences)
• data_zsm-token.txt Malay (tokenized sentences)
• data_zsm-MWE.txt Malay (multiword expression list)
• data_zsm.jpn-zsm Malay (partial Japanese-Malay alignment)
• data_zsm-IPSpkr.csv Malay (interpersonal meaning annotation, speaker)
• data_zsm-IPAddr.csv Malay (interpersonal meaning annotation, addressee)
• data_zsm-IPLex.csv Malay (interpersonal meaning annotation, lexical)

---

• data_ind.txt Indonesian (raw sentences)
• data_ind-token.txt Indonesian (tokenized sentences)
• data_ind-MWE.txt Indonesian (multiword expression list)
• data_ind.jpn-ind Indonesian (partial Japanese-Indonesian alignment)
• data_ind-IPSpkr.csv Indonesian (interpersonal meaning annotation, speaker)
• data_ind-IPAddr.csv Indonesian (interpersonal meaning annotation, addressee)
• data_ind-IPLex.csv Indonesian (interpersonal meaning annotation, lexical)

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• data_tha.txt Thai (raw sentences)
• data_tha-token.txt Thai (tokenized sentences)
• data_tha.jpn-tha Thai (partial Japanese-Thai alignment)
• data_tha-IPSpkr.csv Thai (interpersonal meaning annotation, speaker)
• data_tha-IPAddr.csv Thai (interpersonal meaning annotation, addressee)
• data_tha-IPLex.csv Thai (interpersonal meaning annotation, lexical)

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• data_vie.txt Vietnamese (raw sentences)
• data_vie-token.txt Vietnamese (tokenized sentences)
• data_vie-MWE.txt Vietnamese (multi-syllable expression list)
• data_vie.jpn-vie Vietnamese (partial Japanese-Vietnamese alignment)
• data_vie-IPSpkr.csv Vietnamese (interpersonal meaning annotation, speaker)
• data_vie-IPAddr.csv Vietnamese (interpersonal meaning annotation, addressee)
• data_vie-IPLex.csv Vietnamese (interpersonal meaning annotation, lexical)

---

• data_eng.txt English (raw sentences)

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• readme.me (this document)

Format

All files are encoded in UTF-8 with DOS format.

Raw sentences

Sentence_ID [TAB] Sentence

1176	田中さんは 学生では ありません。
1176	Mr. Tanaka is not a student.

Tokenized sentences

Sentence_ID [LINEBREAK] token [LINEBREAK] token [LINEBREAK] <EOS>

3627
Buku
ini
mempunyai
se-
ratus
dua
puluh
muka surat
.
<EOS>

Burmese POS-tagged sentences

Sentence_ID [TAB] Sentence

• White space: Phrasal boundary

• Dash: Morpheme boundary

  1176 n-pr-postp n pref-v-suf-suf

Alignment

Sentence_ID [TAB] Japanese_token_index-target_language_token_index

1176	0-1 1-0 3-3 8-2 9-4

Interpersonal meaning annotation

Speaker, Addressee

Sentence_ID, Gender, Marital status, Honour, Age, Social status, Role, Group, Formality, Number

3243,female,,,,neutral,,,,sg

Lexical

Token_index, token, Gender, Marital status, Honour, Age, Social status, Role, Group, Formality, Number

3845,,,,,,,,,,
0,Cô,female,,,elder.parents_younger_sibling,,parents_sibling.paternal,,,
1,tôi,,,,,neutral,,,,sg
2,làm việc,,,,,,,,,
3,ở,,,,,,,,,
4,cửa hàng,,,,,,,,,
5,hoa,,,,,,,,,
6,.,,,,,,,,,
<EOS>,,,,,,,,,,

Notes on tokenization

Malay/Indonesian

The Malay and Indonesian sentences were tokenized manually by Hiroki Nomoto and David Moeljadi, respectively. All clitics (i.e. -nya, -lah, -kah) were tokenized. In addition, the instances of the prefix se- were tokenized if they were cardinal numerals. Note that the suffix -nya and the non-numeral instances of se- were not tokenized. The following dictionaries were consulted when it was not immediately obvious whether a word sequence constituted a multiword expression.

• KBBI5. 2016. Kamus Besar Bahasa Indonesia (edisi kelima). Jakarta: Badan Pengembangan dan Pembinaan Bahasa.
• Nomoto, Hiroki. 2016. Pootaburu Nichi-Maree-Ei, Maree-Nichi-Ei Jiten [Japanese-Malay-English, Malay-Japanese-English Portable Dictionary]. Tokyo: Sanshusha.

Thai

The sentences were tokenized using the tokenize function of Deepcut and then checked by Sunisa Wittayapanyanon and Yuka Sato. The principle adopted for the manual correction is:

• Tokenize a sequence consisting of two or more syllables if and only if all constituent syllables have a meaning that contributes to the meaning of the whole phrase/sentence.
  • Do not tokenize a sequence if it contains a meaningless syllable.
  • Do not tokenize a sequence if tokenizing it will change the meaning of the whole phrase/sentence.

Vietnamese

The sentences were tokenized using the word_tokenize function of the Undersea - Vietnamese NLP Project and then checked by Junta Nomura and Hiroki Nomoto. The following dictionary was consulted when it was not immediately obvious whether a syllable sequence constituted a multi-syllable expression.

• Hoàng, Phê, ed. 2003. Từ Điển Tiếng Việt. Đà Nẵng: Nhà Xuất Bản Đà Nẵng.