MX2016005489A - Metodo y aparato para determinar similitud y terminal. - Google Patents

Metodo y aparato para determinar similitud y terminal.

Info

Publication number
MX2016005489A
MX2016005489A MX2016005489A MX2016005489A MX2016005489A MX 2016005489 A MX2016005489 A MX 2016005489A MX 2016005489 A MX2016005489 A MX 2016005489A MX 2016005489 A MX2016005489 A MX 2016005489A MX 2016005489 A MX2016005489 A MX 2016005489A
Authority
MX
Mexico
Prior art keywords
string
sequence
similarity
editing distance
determination method
Prior art date
Application number
MX2016005489A
Other languages
English (en)
Other versions
MX365897B (es
Inventor
Zhang Tao
Long Fei
Wang Pingze
Original Assignee
Xiaomi Inc
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Xiaomi Inc filed Critical Xiaomi Inc
Publication of MX2016005489A publication Critical patent/MX2016005489A/es
Publication of MX365897B publication Critical patent/MX365897B/es

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/903—Querying
    • G06F16/90335—Query processing
    • G06F16/90344—Query processing by using string matching techniques
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F40/00—Handling natural language data
    • G06F40/30—Semantic analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/22—Matching criteria, e.g. proximity measures
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F40/00—Handling natural language data
    • G06F40/10—Text processing
    • G06F40/194—Calculation of difference between files
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F40/00—Handling natural language data
    • G06F40/20—Natural language analysis
    • G06F40/205—Parsing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
    • G06V30/10—Character recognition
    • G06V30/26—Techniques for post-processing, e.g. correcting the recognition result
    • G06V30/262—Techniques for post-processing, e.g. correcting the recognition result using context analysis, e.g. lexical, syntactic or semantic context
    • G06V30/274—Syntactic or semantic context, e.g. balancing

Abstract

La presente divulgación se refiere a un método y un aparato para determinar la similitud y una terminal, y pertenece al campo del procesamiento del lenguaje natural; el método incluye: ejecutar segmentación de palabras en una primera secuencia de caracteres y una segunda secuencia de caracteres, respectivamente, para obtener una primera secuencia y una segunda secuencia, cada una incluyendo al menos un palabra; determinar una distancia de edición entre la primera secuencia de caracteres y la segunda secuencia de caracteres de acuerdo con un algoritmo de distancia de edición predefinido, la primera secuencia y la segunda secuencia; y determinar una similitud entre la primera secuencia de caracteres y la segunda secuencia de caracteres de acuerdo con la distancia de edición y la información sobre operaciones para convertir la primera secuencia en la segunda secuencia; la segmentación de palabras se ejecuta en la primera secuencia de caracteres y la segunda secuencia de caracteres para obtener una primera secuencia y una segunda secuencia respectivamente, de esta manera, la distancia de edición se determina con base en palabras en la secuencia de caracteres en lugar de caracteres en la secuencia de caracteres; además, cada palabra en la secuencia de caracteres puede incluir al menos un carácter, de manera que se determina una similitud de acuerdo con la distancia de edición en combinación con una correlación entre caracteres en la secuencia de caracteres, permitiendo que la similitud determinada sea más precisa.
MX2016005489A 2015-12-03 2015-12-29 Método y aparato para determinar similitud y terminal. MX365897B (es)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN201510882468.2A CN105446957B (zh) 2015-12-03 2015-12-03 相似性确定方法、装置及终端
PCT/CN2015/099523 WO2017092122A1 (zh) 2015-12-03 2015-12-29 相似性确定方法、装置及终端

Publications (2)

Publication Number Publication Date
MX2016005489A true MX2016005489A (es) 2017-11-30
MX365897B MX365897B (es) 2019-06-19

Family

ID=55557172

Family Applications (1)

Application Number Title Priority Date Filing Date
MX2016005489A MX365897B (es) 2015-12-03 2015-12-29 Método y aparato para determinar similitud y terminal.

Country Status (8)

Country Link
US (1) US10089301B2 (es)
EP (1) EP3179379A1 (es)
JP (1) JP6321306B2 (es)
KR (1) KR101782923B1 (es)
CN (1) CN105446957B (es)
MX (1) MX365897B (es)
RU (1) RU2664002C2 (es)
WO (1) WO2017092122A1 (es)

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KR102517661B1 (ko) * 2022-07-15 2023-04-04 주식회사 액션파워 텍스트 정보에서 타겟 단어에 대응하는 단어를 식별하는 방법
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Also Published As

Publication number Publication date
CN105446957B (zh) 2018-07-20
KR101782923B1 (ko) 2017-09-28
JP2018501597A (ja) 2018-01-18
EP3179379A1 (en) 2017-06-14
JP6321306B2 (ja) 2018-05-09
US20170161260A1 (en) 2017-06-08
US10089301B2 (en) 2018-10-02
WO2017092122A1 (zh) 2017-06-08
RU2664002C2 (ru) 2018-08-14
CN105446957A (zh) 2016-03-30
RU2016118758A (ru) 2017-11-20
MX365897B (es) 2019-06-19

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