When it comes to Anti-Money Laundering (AML) and Sanctions screening, the complexities of name matching represent a significant obstacle for compliance professionals. Although fuzzy matching algorithms can help navigate challenges such as typos or incomplete strings, they fall short when dealing with nuances like transliterated names, variations of nicknames, or missing name elements. As a result, companies often resort to broad, imprecise search parameters. This approach, unfortunately, leads to an overwhelming number of false positives and, more critically, the risk of false negatives.
Overcoming Name Matching Challenges with sanctions.io
At sanctions.io, we have developed a next-generation name-matching solution that merges machine learning with traditional methods like name lists, common keys, and rule-based systems. This fusion allows us to generate a comprehensive matching score, effectively overcoming the unique challenges posed by name matching in AML and Sanctions compliance.
By applying this advanced technology, we provide our customers with a robust tool to enhance their compliance processes, reducing the risk of false positives and negatives.
Name Matching Challenges
| Challenge | Examples |
|---|---|
| Phonetic similarity | Jesus ⇔ Heyzeus ⇔ Haezoos |
| Transliteration spelling differences | Abdul Rasheed ⇔ Abd al-Rashid |
| Nicknames | William ⇔ Will ⇔ Bill ⇔ Billy |
| Missing spaces or hyphens | MaryEllen ⇔ Mary Ellen ⇔ Mary-Ellen |
| Titles and honorifics | Dr. ⇔ Mr. ⇔ Ph.D. |
| Truncated name components | McDonalds ⇔ McDonald ⇔ McD |
| Missing name components | Phillip Charles Carr ⇔ Phillip Carr |
| Out-of-order name components | Diaz, Carlos Alfonzo ⇔ Carlos Alfonzo Diaz |
| Initials | J. E. Smith ⇔ James Earl Smith |
| Names split inconsistently across database fields | Dick Van Dyke ⇔ Dick Van . Dyke |
| Same name in multiple languages | Mao Zedong ⇔ Мао Цзэдун ⇔ 毛泽东 ⇔ 毛澤東 |
| Semantically similar names | Eagle Pharmaceuticals, Inc. ⇔ Eagle Drugs, Co. |
| Semantically similar names across languages | Nippon Telegraph and Telephone Corporation ⇔ 日本電信電話株式会社 |
Supported Languages
We support the following languages to ensure global accessibility and ease of use:
| Arabic | German | Khmer | Spanish |
| Burmese | Greek | Korean | Thai |
| Chinese, Simplified | Hebrew | Pashto | Urdu |
| Chinese, Traditional | Hungarian | Persian | Vietnamese |
| English | Italian | Portuguese | |
| French | Japanese | Russian |
Supported Languages, Scripts, and Transliteration Standards
| Language | Script | Sample | Supported transliteration standards |
|---|---|---|---|
| Arabic | Arabic | محمد أنور السادات | IC, SATTS, BGN, Basis, Buckwalter, and others |
| Persian (Dari/Farsi) | Arabic | عذرا جعفری (Dari) شیرین عبادی (Farsi) | BGN, IC, MELTS |
| Pashto | Arabic | حامد کرزی | BGN, JDEC-Afghanistan |
| Urdu | Arabic | عبد السلام | BGN, IC |
| Burmese | Burmese | မြန်မာ | Folk (Basis), MLCTS |
| Chinese | Hanzi | 刘晓波 | Hanyu Pinyin, Wade-Giles |
| Korean | Hanja, Hangul | 金木中 김대중 | BGN, Korda, McCune-Reischauer, Revised Romanization of Korean |
| Hebrew | Hebrew | עברית | ISO 259-2:1994, Folk (Basis), ICU |
| Japanese | Kanji, Hiragana, Katakana | 鈴木章 かづさ スズキ | Hepburn, Kunrei |
| Russian | Cyrillic | Михаил Сергеевич Горбачёв | BGN, IC |
| Greek | Greek | Ἀριστοτέλης | ISO 843:1997, ICU |
| Thai | Thai | พระพุทธยอดฟ้าจุฬาโลก | ICU, ISO :11940-2, ISO 11940-2:2007 |
More information on Intelligent Name Matching.
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If you have any questions or need more help, please contact our support team anytime!
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Email: help@sanctions.io
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