Chinese Lexical Database
Covers over 500,000 entries
Simplified and Traditional Chinese
Optimized for NLP applications
Overview
The CJKI Chinese Lexical Database (CLD) is a comprehensive monolingual lexical database specifically designed for NLP applications. It consists of two modules, Simplified Chinese (SC) and Traditional Chinese (TC), with about 250,000 entries in each module covering general vocabulary, technical terms, and important proper nouns.
A unique feature of CLD is that the readings (pinyin and zhuyin) take into account the differences in pronunciation between the PRC and Taiwan. For example, SC ๅฑ้ฉ wฤixiวn โdangerousโ is TC ๅฑ้ช wรฉixiวn. Furthermore, the TC not merely a code-conversion equivalent of the SC version, but has been carefully proofread to ensure accuracy on both the orthographic and lexemic levels.
For example, ๅบ็ง่ฝฆ chลซzลซchฤ โtaxiโ has a lexemic equivalent of ่จ็จ่ป jฤซchรฉngchฤ, rather than the SC orthographic equivalent ๅบ็ง่ป. Developed by CJKIโs team of Chinese specialists over many years, CLD is a significant contribution to the field of Chinese lexicography and information processing.
Main Features
Phonological information
Such as pinyin, zhuyin, and IPA
Semantic classification codes
Such as type of proper noun
Grammatical information
Such as POS and adjacency attributes
Morphological information
derivational affixes and binding valency codes
* Select one of the tabs below.
| POS | SC | Pinyin |
|---|---|---|
| NC | ไธๅฎถไนๅญ | dลngjiฤzhฤซzว |
| E | ไธๅฎถๆ้ขฆ | dลngjiฤxiร opรญn |
| NP | ไธๆถๆพ | dลngjiร sลng |
| NP | ไธๆฒณ | dลnghรฉ |
| NP | ไธๆฒณ | dลnghรฉ |
| NP | ไธๆฒณ้ | dลnghรฉzhรจn |
| NP | ไธๆฒณๆฒฟ | dลnghรฉyรกn |
| NP | ไธๆฒณๅบ | dลnghรฉqลซ |
| NP | ไธๆฒณๆผ่กๅ | dลnghรฉcรกo hรบtรณng |
| NP | ไธๆฒณ้ | dลnghรฉdร o |
| NP | ไธ่ฑ | dลnghuฤ |
| NP | ไธ่ฑๅ ่กๅ | dลnghuฤtฤซng hรบtรณng |
| NP | ไธ่ฑๆ่กๅ | dลnghuฤzhฤซ hรบtรณng |
| NP | ไธ้ | dลngxiรก |
| NP | ไธไผๆ | dลnghuรฌcลซn |
| NC | ไธๆตท | dลnghวi |
| NP | ไธๆตท | dลnghวi |
| NP | ไธๆตท | dลnghวi |
| NP | ไธๆตทๅฟ | dลnghวixiร n |
| E | ไธๆตทๆฌๅฐ | dลnghวiyรกngchรฉn |
| E | ไธๆตทๆ้ | dลnghวilฤozhฤn |
| U | ไธๆตท่ฐ้ | dลnghวijiร nduรฌ |
| E | ไธๆตทๆก็ฐ | dลnghวisฤngtiรกn |
| NP | ไธๆตทๅคงๅญฆ | dลnghวidร xuรฉ |
| NP | ไธๅคๅคง่ก | dลngwร idร jiฤ |
| NC | ไธ้ญ | dลngguล |
| NP | ไธ้ญ | dลngguล |
| E | ไธ้ญๅ ็ | dลngguลxiฤnshฤng |
| NC | ไธ้ญๅฑฅ | dลngguลlว |
| NP | ไธ้ฉๆฐ้ | dลnggรฉxฤซnlว |
| NC | ไธๅฒณ | dลngyuรจ |
| NP | ไธๅฒณ | dลngyuรจ |
| NP | ไธๅ ่ฑ่กๅ | dลngguฤnyฤซng hรบtรณng |
| NP | ไธๅฎๆฟ่กๅ | dลngguฤnfรกng hรบtรณng |
| NC | ไธๅนฒ | dลnggฤn |
| NP | ไธ็ฎกๅคด | dลngguวntรณu |
| NP | ไธ็ฎกๅคดๅ่ก | dลngguวntรณuqiรกnjiฤ |
| NP | ไธ่ | dลngguฤn |
| NP | ไธ่ๅธ | dลngguฤnshรฌ |
| NC | ไธๅฒธ | dลngร n |
| NP | ไธๅฒฉ | dลngyรกn |
| NP | ไธๅ | dลngxว |
| NP | ไธๆ | dลngqรญ |
| NP | ไธ่ตท | dลngqว |
| NP | ไธๅ | dลngjรญ |
| NP | ไธๅ็ฅฅ่กๅ | dลngjรญxiรกng hรบtรณng |
| NP | ไธๅผๅ ่กๅ | dลnggลngjiร ng hรบtรณng |
| NP | ไธๆงๅธๅญ่กๅ | dลngjiรนliรกnzว hรบtรณng |
| NP | ไธ็่ง่กๅ | dลngniรบjiวo hรบtรณng |
| NP | ไธไบฌ | dลngjฤซng |
| NP | ไธไบฌๅฝฑๅฑ | dลngjฤซngyวngzhวn |
| NP | ไธไบฌ็ฟ้ | dลngjฤซngjฤซdร o |
| NC | ไธไบฌ่กๅธ | dลngjฤซnggวshรฌ |
| NP | ไธไบฌๅคงๅญฆ | dลngjฤซngdร xuรฉ |
| NP | ไธไบฌ้ฝ | dลngjฤซngdลซ |
| NP | ไธไบฌๆนพ | dลngjฤซngwฤn |
| NP | ไธๆๅบ่กๅ | dลngjiฤochรกng hรบtรณng |
| NP | ไธๆ่กๅ | dลngjiฤo hรบtรณng |
| NP | ไธๅฑๆ | dลngjรบcลซn |
| NP | ไธ็ | dลngyรน |
| NP | ไธ็ๆฒณ | dลngyรนhรฉ |
| NP | ไธ็ด | dลngqรญn |
| NP | ไธ็ด็ง | dลngqรญnkฤ |
| NP | ไธๅบ | dลngqลซ |
| NC | ไธ้ | dลngyรบ |
| NC | ไธๅ | dลngjลซn |
| NP | ไธๆ ง | dลnghuรฌ |
| NP | ไธๆ | dลngyuรจ |
| NP | ไธๅฅ | dลngjiร n |
| NP | ไธๆบ | dลngyuรกn |
| NP | ไธๆบๅฟ | dลngyuรกnxiร n |
| NP | ไธๆน | dลnghรบ |
| NP | ไธๆนๆธ | dลnghรบqรบ |
| NP | ไธๆนๅบ | dลnghรบqลซ |
| NC | ไธ่ก | dลnghรบ |
| N | ไธ่กๅฒ | dลnghรบshว |
| NP | ไธไบคๆฐๅทท | dลngjiฤomรญnxiร ng |
| NP | ไธๅ | dลngguฤng |
| NP | ไธๅ | dลngguฤng |
| NP | ไธๅ ๅฟ | dลngguฤngxiร n |
| NP | ไธๅ ้ | dลngguฤngzhรจn |
| NP | ไธๅ ่กๅ | dลngguฤng hรบtรณng |
| NP | ไธๅ ฌ่ก | dลnggลngjiฤ |
| NP | ไธๅ ฌๆ | dลnggลngwรฉn |
| NP | ไธๅ | dลnghรฒu |
| NP | ไธๅฃ่ข่กๅ | dลngkวudร i hรบtรณng |
| NC | ไธๅ | dลngxiร ng |
| NP | ไธๅ | dลngxiร ng |
| NP | ไธๅๆฒณๆฒฟ | dลnghรฒuhรฉyรกn |
| NP | ไธๅนธ็ฆ่ก | dลngxรฌngfรบjiฤ |
| NP | ไธๅบท | dลngkฤng |
| NP | ไธๆฑ | dลngjiฤng |
| NP | ไธๆตฉ | dลnghร o |
| NP | ไธๆธฏ | dลnggวng |
| NP | ไธๆธฏๅบ | dลnggวngqลซ |
| NP | ไธๆธฏๅธ | dลnggวngshรฌ |
| NC | ไธ็ | dลnghuรกng |
| NP | ไธ็ๅๆ นๅ่ก | dลnghuรกngchรฉnggฤnnรกnjiฤ |
| NP | ไธ็ๅๆ นๅ่ก | dลnghuรกngchรฉnggฤnbฤijiฤ |
| NA | ไธ่ช | dลnghรกng |
| NP | ไธ่ช | dลnghรกng |
| NP | ไธ่ช | dลnghรกng |
| U | ไธ่ก่ช็จ | dลngxรญnghรกngchรฉng |
| NC | ไธ้ | dลngjiฤo |
| NP | ไธ้ฆ | dลngxiฤng |
| NP | ไธ้ฆๆฒณๅญ | dลngxiฤnghรฉyuรกn |
| NP | ไธ้ซๅฐ | dลnggฤodรฌ |
| NP | ไธ้ซๆฟ่กๅ | dลnggฤofรกng hรบtรณng |
| NP | ไธๅ | dลnghรฉ |
| NP | ไธๅ็ | dลnghรฉchรฉng |
| NP | ไธๅ ๅฐ | dลngkรจฤr |
| NP | ไธๅ ๅฐๆผ | dลngkรจฤrmร n |
| NP | ไธๅฝ | dลngguรณ |
| NP | ไธๆ น | dลnggฤn |
| NP | ไธไฝๅคซ | dลngzuวfลซ |
| E | ไธๅทฎ่ฅฟ่ฏฏ | dลngchฤxฤซwรน |
| NP | ไธๆฒๅฒ | dลngshฤdวo |
| NP | ไธๆฒ็พคๅฒ | dลngshฤqรบndวo |
| NP | ไธๅกๅฐ | dลngsฤiฤr |
| NP | ไธๆ | dลngcรกi |
| NC | ไธไฝ | dลngzuรฒ |
| NP | ไธไธไบฒๅฎถๅ | dลngsฤnqฤซnjiฤfรฉn |
| NP | ไธไธ็ฏไธญ่ทฏ | dลngsฤnhuรกnzhลnglรน |
| NP | ไธไธ็ฏๅ่ทฏ | dลngsฤnhuรกnbฤilรน |
| NP | ไธไธๅทท | dลngsฤnxiร ng |
| NC | ไธไธ็ | dลngsฤnshฤng |
| NP | ไธไธ็ไบๅฎๆก็บฆ | dลngsฤnshฤngshรฌyรญtiรกoyuฤ |
| NP | ไธไธๆก | dลngsฤntiรกo |
| NP | ไธไธ้่ก | dลngsฤndร ojiฤ |
| NP | ไธๅฑฑ | dลngshฤn |
| NP | ไธๅฑฑ | dลngshฤn |
| NP | ไธๅฑฑๅฟ | dลngshฤnxiร n |
| NP | ไธๅฑฑ้ | dลngshฤnzhรจn |
| NP | ไธๅฑฑๅบ | dลngshฤnqลซ |
| E | ไธๅฑฑ้ซๅง | dลngshฤngฤowรฒ |
| E | ไธๅฑฑๅ่ตท | dลngshฤnzร iqว |
| E | ไธๅฑฑไนๅฟ | dลngshฤnzhฤซzhรฌ |
| NC | ไธๅฑฑๆณ้จ | dลngshฤnfวmรฉn |
| NP | ไธๅฑฑๅกไธ้ | dลngshฤnpลyฤซlว |
| NP | ไธๅฑฑๅกไธ้ | dลngshฤnpลsฤnlว |
| NP | ไธๅฑฑๅกไบ้ | dลngshฤnpลรจrlว |
| NC | ไธๅธ | dลngsฤซ |
| NP | ไธๅๅ็ๅ่ก | dลngsรฌkuร iyรนnรกnjiฤ |
| NP | ไธๅๅ็ๅ่ก | dลngsรฌkuร iyรนbฤijiฤ |
| NP | ไธๅๅคดๆก | dลngsรฌtรณutiรกo |
| NP | ไธๅไนๆก | dลngsรฌjiวtiรกo |
| NP | ไธๅ่ฅฟๅคง่ก | dลngsรฌxฤซdร jiฤ |
| NP | ไธๅ้่ก | dลngsรฌdร ojiฤ |
| NP | ไธๅ้ๅฃ | dลngsรฌdร okวu |
| NP | ไธๅๅๅคง่ก | dลngsรฌnรกndร jiฤ |
| NP | ไธๅๅๅคง่ก | dลngsรฌbฤidร jiฤ |
| NP | ไธๅญ | dลngzว |
| NC | ไธๅธ | dลngshรฌ |
| NP | ไธๅธ | dลngshรฌ |
| NP | ไธๅธๅบไบๅทท | dลngshรฌchรกngwวxiร ng |
| NP | ไธๅธๅบ | dลngshรฌqลซ |
| E | ไธๅธๆ่กฃ | dลngshรฌchรกoyฤซ |
| NP | ไธๅฟ่ฟ | dลngzhรฌyuวn |
| NC | ไธๆ | dลngzhว |
| E | ไธๆฏ่ฅฟๅพ | dลngzhฤซxฤซwรบ |
| NP | ไธๆฏ | dลngsฤซ |
| NP | ไธๆฏ็งไผ | dลngsฤซkฤyฤซ |
| E | ไธๆฝๆ้ขฆ | dลngshฤซxiร opรญn |
| NP | ไธๆ | dลngzhฤซ |
| NP | ไธ่ณๅฟ | dลngzhรฌxiร n |
| NP | ไธ่ณ | dลngฤr |
Practical Applications
CLD is being used by major IT companies to enhance their Chinese morphological analysis technology and is especially suitable for natural language processing (NLP) applications, such as:
Segmentation and tokenization
Named-entity recognition
Input method editors
Morphological analysis
Information retrieval
Part-of-speech tagging
Reference Documents
Related Resources
Japanese Lexical Database
Monolingual general vocabulary for NLP applications
Korean Lexical Database
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Chinese Hanyu Pinyin Database
Accurate hanyu pinyin data including technical terms and proper nouns