JPH0619965A - Natural language processor - Google Patents

Natural language processor

Info

Publication number
JPH0619965A
JPH0619965A JP4174079A JP17407992A JPH0619965A JP H0619965 A JPH0619965 A JP H0619965A JP 4174079 A JP4174079 A JP 4174079A JP 17407992 A JP17407992 A JP 17407992A JP H0619965 A JPH0619965 A JP H0619965A
Authority
JP
Japan
Prior art keywords
character string
information
sentence
abbreviated
input
Prior art date
Legal status (The legal status 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 status listed.)
Withdrawn
Application number
JP4174079A
Other languages
Japanese (ja)
Inventor
Yuji Ikeda
裕治 池田
Minoru Fujita
稔 藤田
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Canon Inc
Original Assignee
Canon 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 Canon Inc filed Critical Canon Inc
Priority to JP4174079A priority Critical patent/JPH0619965A/en
Publication of JPH0619965A publication Critical patent/JPH0619965A/en
Withdrawn legal-status Critical Current

Links

Abstract

PURPOSE:To easily check the original intention of an input sentence by correspondingly storing an abbreviated name and a regular name, interpolating the character string of the abbreviated name in the input sentence by a regular character string and displaying the interpolated character string. CONSTITUTION:When abbreviated information exists in an input sentence in a process for analyzing the input sentence by syntax analyzing processing S30 and meaning analyzing processing S40, an abbreviatable information storing part S120 is referred to. Abbreviated character strings and their corresponding regular character strings are stored in the storing part S120 by a table format, and when an abbreviated character string is searched, a regular character string corresponding to the searched character string can be extracted. Information interpolated from the analytical result obtained by the processing S40 by using information obtained from an abbreviated expression interpolating part S50 and the contents of an ambiguous part temporarily determined by the device are added to the input sentece and displayed. Thereby when a character string with an abbreviated name is included in a sentence inputted for retrieval, the original purpose of the input sentence can easily be confirmed.

Description

【発明の詳細な説明】Detailed Description of the Invention

【0001】[0001]

【産業上の利用分野】本発明は自然言語処理装置、詳し
くは自然言語により入力された文によって情報検索する
自然言語処理装置に関するものである。
BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a natural language processing device, and more particularly to a natural language processing device for retrieving information by a sentence input in natural language.

【0002】[0002]

【従来の技術】近年、自然言語よりなる文章によって情
報を検索する自然言語処理装置が研究開発されている。
ここで、上記従来の自然言語処理装置における処理の流
れを図9を用いて説明する。
2. Description of the Related Art In recent years, research and development of natural language processing devices for searching information by sentences in natural language have been conducted.
Here, the flow of processing in the conventional natural language processing apparatus will be described with reference to FIG.

【0003】図9において、ステップS401では、自
然言語よりなる文章を入力として受け取る。ステップS
402では、入力された自然言語の文章を基本単位であ
る形態素に分解し、品詞や活用形などの情報を付加す
る。次のステップS403では、その形態素解析の結果
から、入力文の統語的な構造を解析する。ステップS4
04では、その解析によって得られた情報に基づき、入
力文の意味的な関係を解析する。
In FIG. 9, in step S401, a sentence in natural language is received as an input. Step S
In 402, the input natural language sentence is decomposed into morphemes, which are basic units, and information such as a part of speech and an inflection is added. In the next step S403, the syntactic structure of the input sentence is analyzed from the result of the morphological analysis. Step S4
In 04, the semantic relation of the input sentence is analyzed based on the information obtained by the analysis.

【0004】ステップS405においては、 ステップ
S403の構文解析処理及びステップS404の意味解
析処理によって入力文を解析する過程において、入力文
に省略された情報が存在していた場合に、その情報を補
完する(省略表現補完処理)。ステップS406では、
この省略表現補完処理からの情報を用いることによっ
て、意味解析処理から得られた意味解析結果から、デー
タベースを検索するのに足りない情報あるいは、入力文
中の曖昧な部分の判定を行い、必要ならば使用者に再質
問を行い、ステップS401に戻る。
In step S405, in the process of analyzing the input sentence by the syntax analysis process of step S403 and the semantic analysis process of step S404, if there is information omitted in the input sentence, the information is complemented. (Abbreviated complement processing). In step S406,
By using the information from this abbreviation complementation process, from the semantic analysis result obtained from the semantic analysis process, the information that is insufficient for searching the database or the ambiguous part in the input sentence is determined, and if necessary, The user is asked a question again, and the process returns to step S401.

【0005】データベースを検索するのに足りる情報で
あると判断したとき、検索条件を次のステップS407
に受け渡す。このステップS407では、質問内容判定
処理406によって判定された検索条件によって、デー
タベース411を検索する。そして、検索結果を次のス
テップS408で表示する。なお、このステップS40
8では、検索結果を使用者に表示するとともに、対話履
歴保持部409に表示した情報を受け渡す。そして、情
報検索を終了するか、引続き質問応答を繰り返すため
に、ステップS401の入力文受付処理に戻る。
When it is determined that the information is sufficient for searching the database, the search condition is set to the next step S407.
Hand over to. In step S407, the database 411 is searched according to the search condition determined by the question content determination process 406. Then, the search result is displayed in the next step S408. Note that this step S40
In 8, the search result is displayed to the user, and the information displayed in the dialogue history holding unit 409 is delivered. Then, in order to end the information retrieval or continuously repeat the question response, the process returns to the input sentence reception process of step S401.

【0006】図10は、この種の自然言語処理装置の対
話例を示したものである。新幹線のダイヤの情報案内の
対話の例である。図においてU1からU13は、使用者
の入力文である。S1からS13が装置からのメッセー
ジ出力である。
FIG. 10 shows an example of a dialogue of this type of natural language processing apparatus. It is an example of a dialogue of information guidance of the Shinkansen timetable. In the figure, U1 to U13 are user input sentences. S1 to S13 are message outputs from the device.

【0007】この例では、U1で使用者が大阪に行くた
めの新幹線のダイヤを質問している。S2からU4まで
は、U1の質問文の省力を補完して(明日が9月26日
であること)、曖昧な箇所の解消(大阪とは新大阪であ
ること。10時とは朝10時であること)を行なってい
る。S5が最初の検索結果の表示である。
In this example, the user inquires about the Shinkansen timetable for going to Osaka at U1. From S2 to U4, supplement the labor saving of the question sentence of U1 (tomorrow is September 26th) and resolve ambiguous parts (Osaka is Shin-Osaka. 10 o'clock and 10 am That is). S5 is the display of the first search result.

【0008】U5は、その検索結果に対するさらなる質
問である。続くS6からU7までで再び入力文の曖昧性
を解消している。S8が第2回の検索結果の表示であ
る。
U5 is a further question for that search result. In subsequent S6 to U7, the ambiguity of the input sentence is resolved again. S8 is the display of the second search result.

【0009】U9は、S8の検索結果に対するさらなる
質問である。この質問では、列車に入っているビュッフ
ェの経営している会社についての質問である。S9から
U11までで、省力情報の確認を行い、S12で一本の
列車に絞りこんでいる。
U9 is a further question for the search results of S8. This question is about the company that runs the buffet on the train. From S9 to U11, the labor saving information is confirmed, and at S12, the trains are narrowed down.

【0010】U13とS13は、終了のための対話であ
る。
U13 and S13 are dialogues for ending.

【0011】[0011]

【発明が解決しようとしている問題点】しかしながら、
上記従来例では、装置が補完した情報を使用者に見せず
に情報検索を行なったり、あるいは、補完する情報に曖
昧性がある場合には、それを絞り込むために、さらに使
用者との間で質問応答を繰り返したりして、以下のよう
な欠点があった。
[Problems to be solved by the invention] However,
In the above conventional example, an information search is performed without showing the information complemented by the device to the user, or if there is ambiguity in the information to be complemented, in order to narrow it down, further There were some drawbacks, such as repeating question and answer.

【0012】(1)使用者が、補完した情報を容易に確
認できない。
(1) The user cannot easily confirm the supplemented information.

【0013】(2)補完する情報の曖昧性を解消するた
めのさらなる質問応答がいくつか重なると、どの部分が
補完された情報であるか忘れてしまう。
(2) When some further question-and-answers for resolving the ambiguity of the complemented information overlap, which part of the complemented information is forgotten.

【0014】(3)装置が補完できる情報に、いくつか
の種類があって、それらの情報の確認動作に違いがあっ
たときに、その区別が難しい。
(3) When there are several types of information that can be complemented by the device and there is a difference in the confirmation operation of those information, it is difficult to distinguish them.

【0015】本発明はかかる従来技術に鑑みなされたも
のであり、検索するために入力した文中に略称呼称の文
字列があった場合、容易にその入力文の本来の意図を確
認することが可能な自然言語処理装置を提供しようとす
るものである。
The present invention has been made in view of the above prior art, and when there is a character string of abbreviated name in a sentence input for retrieval, it is possible to easily confirm the original intention of the input sentence. The present invention aims to provide a natural language processor.

【0016】[0016]

【問題点を解決するための手段】この課題を解決するた
め、本発明の自然言語処理装置は以下に示す構成を備え
る。すなわち、自然言語により入力された文によって情
報検索する自然言語処理装置において、簡略呼称と正規
名称とを対応づけて記憶する記憶手段と、検索するため
の文を入力する入力手段と、入力された文を構成する文
字列に前記記憶手段に記憶された略称呼称の文字列があ
るか否かを判別する判別手段と、該判別手段で略称呼称
の文字列があると判別したとき、当該文字列に対して前
記記憶手段に記憶された正規文字列を補完する補完手段
と、該補完手段で補完された文を表示する表示手段とを
備える。
In order to solve this problem, the natural language processing apparatus of the present invention has the following configuration. That is, in a natural language processing device that searches information by a sentence input in natural language, a storage unit that stores a simplified name and a canonical name in association with each other, an input unit that inputs a sentence to be searched, and an input unit Determining means for determining whether or not there is a character string of the abbreviated name stored in the storage means in the character string forming the sentence, and the character string when it is determined that the character string of the abbreviated name is present On the other hand, it comprises a complementing means for complementing the regular character string stored in the storage means, and a display means for displaying the sentence complemented by the complementing means.

【0017】[0017]

【作用】かかる本発明の構成において、記憶手段には略
称呼称として用いられる文字列とこの文字列に対応する
正規の文字列とを記憶しておく。そして利用者が検索し
ようとして入力した文中に略称呼称の文字列があった場
合には、対応する正規の文字列で補完し、確認させるた
めにその補完された文を表示する。
In the structure of the present invention, a character string used as an abbreviated name and a regular character string corresponding to this character string are stored in the storage means. Then, when the user's input for the search includes a character string of abbreviated name, it is complemented with the corresponding regular character string, and the completed sentence is displayed for confirmation.

【0018】[0018]

【実施例】以下、添付図面に従って本発明にかかる実施
例を詳細に説明する。
Embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

【0019】図8は、本発明の一実施例に係る装置の構
成を示すブロック図である。
FIG. 8 is a block diagram showing the structure of an apparatus according to an embodiment of the present invention.

【0020】図中、1は装置全体の制御を司るCPUで
ある。2はCPU1の動作処理手順(プログラム)、あ
るいは文字フォントなどを記憶しているROMである。
3はCPU1のワークエリアとして使用されるRAMで
ある。4は各種情報を入力するためのキーボードであ
る。5は各種メッセージを表示するCRTであり、6は
CRT5に表示させるためのイメージを展開するビデオ
RAM(VRAM)である。7はキーボード4より入力
された自然言語の形態素を解析したり、意味を解釈した
りするときに使用される辞書・知識ベースである。8は
各種情報が構造的に記憶管理されているデータベースで
ある。
In the figure, 1 is a CPU that controls the entire apparatus. Reference numeral 2 is a ROM that stores the operation processing procedure (program) of the CPU 1 or character fonts.
Reference numeral 3 is a RAM used as a work area of the CPU 1. Reference numeral 4 is a keyboard for inputting various information. Reference numeral 5 is a CRT for displaying various messages, and 6 is a video RAM (VRAM) for developing an image to be displayed on the CRT 5. Reference numeral 7 is a dictionary / knowledge base used when analyzing morphemes of natural language input from the keyboard 4 and interpreting meanings. Reference numeral 8 is a database in which various information is structurally stored and managed.

【0021】上記構成よりなる実施例の装置の動作処理
手順を図1のフローチャートに従って説明する。尚、以
下の説明における各処理は全てCPU1が行うものであ
る。
The operation processing procedure of the apparatus of the embodiment having the above configuration will be described with reference to the flowchart of FIG. It should be noted that all the processes in the following description are performed by the CPU 1.

【0022】先ず、ステップS10において、キーボー
ド4より自然言語の形式で入力される文を受け取る。ス
テップS20では、受け取った入力文を基本単位である
形態素に分割し、品詞や活用系などの情報を付加する。
そしてステップS30において、ステップS20で形態
素解析された文を受け取り、形態素解析の結果の情報か
ら入力文の統語的な構造を解析し、その情報を次のステ
ップS40に受け渡す。ステップS40では、構文解析
処理(ステップS30)の解析結果から入力文の意味的
な関係を解析する。
First, in step S10, a sentence input from the keyboard 4 in a natural language format is received. In step S20, the received input sentence is divided into morphemes, which are basic units, and information such as a part-of-speech and conjugation system is added.
Then, in step S30, the sentence morphologically analyzed in step S20 is received, the syntactic structure of the input sentence is analyzed from the information of the result of morphological analysis, and the information is passed to the next step S40. In step S40, the semantic relationship of the input sentence is analyzed from the analysis result of the syntax analysis process (step S30).

【0023】ステップS50では、構文解析処理(ステ
ップS30)及び意味解析処理(ステップS40)によ
って入力文が解析する過程において、入力文に省略され
た情報が存在していた場合に、その情報を補完する。こ
こでは、入力文に省略された情報を効率よく復元するた
めに用意された省略可能情報保持部(辞書・知識ベース
内に格納されている)を参照する。この略称可能情報保
持部には略称文字列とそれに対応する正規の文字列がテ
ーブル形式に記憶されており、略称文字列を探し出せば
それに対応する正規の文字列を抽出することが可能にな
っている。
In step S50, in the process of analyzing the input sentence by the syntax analysis process (step S30) and the semantic analysis process (step S40), if the input sentence contains omitted information, the information is complemented. To do. Here, the optional information holding unit (stored in the dictionary / knowledge base) prepared for efficiently restoring the information omitted in the input sentence is referred to. The abbreviated character information storage unit stores abbreviated character strings and their corresponding regular character strings in a table format, and if an abbreviated character string is searched for, it becomes possible to extract the corresponding regular character string. There is.

【0024】ステップS60では、この省略表現補完部
からの情報をもちいて意味解析処理(ステップS40)
から得られた意味解析結果から、補完した情報と、装置
が仮に決めた曖昧な部分の内容を、もとの入力文に付加
して表示する。そして、制御は次のステップS70に進
む。ここでは、データベース8を検索するのに足りない
情報あるいは、入力文中の曖昧な部分の判定を行い、必
要ならば使用者に再質問を行ない、入力文受け取り部1
0に戻る。データベース8を検索するのに足りる情報で
あると判断したときには、次のステップS80に進み、
質問内容判定処理(ステップS70)によって判定され
た検索条件によって、データベース8を検索する。検索
が終了すると、処理はステップS90に進み、その結果
結果をCRT5に表示するとともに、対話履歴保持部
(RAM2ないに確保されている)に表示した情報を受
け渡す。そして、情報検索を終了するか、引続き質問応
答を繰り返すために、ステップS10に戻る。辞書・知
識ベース7は、ステップS20〜ステップS40からな
る文解析処理において使用される。
In step S60, a semantic analysis process is performed using the information from the abbreviation complementation part (step S40).
The supplementary information and the contents of the ambiguous portion temporarily determined by the device are added to the original input sentence and displayed from the result of the semantic analysis obtained from. Then, the control proceeds to the next Step S70. Here, information that is insufficient for searching the database 8 or ambiguous parts in the input sentence is determined, and if necessary, the user is asked again, and the input sentence receiving unit 1
Return to 0. When it is determined that the information is sufficient for searching the database 8, the process proceeds to the next step S80,
The database 8 is searched according to the search condition determined by the question content determination process (step S70). When the search is completed, the process proceeds to step S90, the result is displayed on the CRT 5, and the information displayed in the dialogue history holding unit (secured in the RAM 2) is delivered. Then, the process returns to step S10 to end the information retrieval or to continue repeating the question and answer. The dictionary / knowledge base 7 is used in the sentence analysis process including steps S20 to S40.

【0025】次に、本実施例における対話を、図2の対
話例を対比させて説明する。
Next, the dialogue in this embodiment will be described by comparing the dialogue example of FIG.

【0026】図2のU5質問文 (U5) 6時ぐらいのひかりは? が本装置に入力されたとする。U5 question sentence (U5) in FIG. 2 What is the light around 6 o'clock? Is input to the device.

【0027】このとき、実施例では、ステップS10か
らステップS40の入力分受取、形態素解析、構文解
析、意味解析が行われ、図2の意味表現が得られる。
At this time, in the embodiment, the input portion reception, the morphological analysis, the syntactic analysis, and the semantic analysis of steps S10 to S40 are performed, and the semantic representation of FIG. 2 is obtained.

【0028】この結果によると列車情報の中の時刻と種
別が得られているがその他の情報がないので、省略表現
があるとして、省略表現補完処理(ステップS50)に
制御が移る。省略表現補完処理は、列車情報についての
質問の知識を、辞書・知識ベース7から、省略可能情報
保持部(RAM3ないに確保されている)に取り出す。
図3が、列車情報の知識と、省略可能情報(この場合に
は時刻とその他の列車情報を結ぶ動作)である。この情
報と、図2の意味表現とを比較することで、図4の補完
された省略表現を得る。ここでは、時刻と種別を結ぶ動
作関係として、(出発時刻)あるいは(到着時刻)の動
作であることが補完されている。ここでは、出発時刻で
あると装置が仮に解釈している。そして、この補完され
た意味表現が文解析結果表示処理(ステップS60)に
渡される。文解析結果表示処理では、この意味表現をも
とに、U1の質問文の解析結果として (S5’) 6時ぐらい に〈出発する〉ひかり
〈検索したい〉? をCRT5に表示する。この表示において〈〉の括弧で
囲まれた部分が、検索するために装置が必要とする情報
の補完結果であり、アンダーラインのついた部分がもと
の入力文に追加した表現である。この表示を見ること
で、使用者は、装置が補完した情報を容易に認識できる
ようになる。その後制御は、質問内容判定処理(ステッ
プS70)に渡される。ここでは、(U5’)に対する
確認を使用者に行なう。もし必要ならば質問応答によっ
て補完結果の修正を行い、それが終了したのちに、その
結果を情報検索処理(ステップS80)に渡す。この情
報検索処理では、(時刻:出発時刻:6時)・(種別:
ひかり)という条件で検索を行い、その検索結果を結果
表示処理(ステップS90)に渡す。結果表示処理で
は、その検索結果であるところのメッセージ、 (S8)2本あります。 を表示する。そして、その結果をその対話履歴保持部に
渡すとともに、制御を入力文受け取り処理(ステップS
10)に戻す。
According to this result, the time and type in the train information are obtained, but there is no other information. Therefore, assuming that there is an abbreviation, control is passed to the abbreviation complementation processing (step S50). In the abbreviation complementation process, the knowledge of the question about the train information is retrieved from the dictionary / knowledge base 7 into an abbreviated information holding unit (secured in the RAM 3).
FIG. 3 shows knowledge of train information and omissible information (in this case, an operation of connecting time and other train information). By comparing this information with the semantic representation of FIG. 2, the complemented abbreviation of FIG. 4 is obtained. Here, it is supplemented that the operation relationship connecting time and type is (departure time) or (arrival time) operation. Here, the device tentatively interprets that it is the departure time. Then, the supplemented meaning expression is passed to the sentence analysis result display processing (step S60). In a sentence analysis result display processing, based on the semantic representation, as a result of analysis of the question sentence of U1 the (S5 ') about 6 o'clock in the <starting> Hikari
<I want to search> ? Is displayed on the CRT 5. In this display, the part enclosed in parentheses <> is the complemented result of the information required by the device for searching, and the underlined part is the expression added to the original input sentence. By viewing this display, the user can easily recognize the information complemented by the device. Thereafter, the control is passed to the question content determination process (step S70). Here, the user is confirmed for (U5 '). If necessary, the supplementary result is corrected by the question response, and after the correction is completed, the result is passed to the information retrieval process (step S80). In this information retrieval process, (time: departure time: 6:00), (type:
A search is performed under the condition of "Hikari" and the search result is passed to the result display process (step S90). In the result display process, there are two messages (S8) that are the search results. Is displayed. Then, the result is passed to the dialogue history holding unit, and control is performed to receive an input sentence (step S
Return to 10).

【0029】以上の本装置の処理を行った場合の対話
は、以下のようになる。
The dialog when the above-mentioned processing of the present apparatus is performed is as follows.

【0030】(U5) 6時ぐらいのひかりは? (S5’) 6時ぐらい に〈出発する〉ひかり
〈検索したい〉? (U6) はい (S8) 2本あります。
(U5) What about the light around 6 o'clock? (S5 ') the <starting> Hikari to about 6 o'clock
<I want to search> ? (U6) Yes (S8) There are two.

【0031】このように、本実施例の装置においては、
従来はU5からS8にいたるまでに6回の対話が必要で
あったのに対して、4回の対話で完了する。
Thus, in the apparatus of this embodiment,
Conventionally, six dialogues were required from U5 to S8, whereas four dialogues are completed.

【0032】[他の実施例の説明]上記実施例では、文
解析結果表示部により、メッセージS5’のように、次
の行に装置の補完結果を表示していたが、これに限ら
ず、さまざまな表示法が可能である。例えば、(U5)
に(S5’)を重ねて書くことによって、装置の補完し
た情報が、質問文に購入されて表示されるという効果を
与えることも可能である。これによると上記の対話の結
果は以下のようになる。
[Description of Other Embodiments] In the above embodiment, the sentence analysis result display section displays the device complement result on the next line as in the message S5 '. However, the present invention is not limited to this. Various display methods are possible. For example, (U5)
It is also possible to give the effect that the information complemented by the device is purchased and displayed in the question text by writing (S5 ') over. According to this, the result of the above dialogue is as follows.

【0033】(S5’) 6時ぐらい に〈出発する〉
ひかり を〈検索したい〉? (U6) はい (S8) 2本あります。
(S5 ') About 6 o'clock <departure>
The Hikari <want to find>? (U6) Yes (S8) There are two.

【0034】この場合には、3回の対話で完了する。In this case, the dialogue is completed three times.

【0035】また、文解析結果表示処理は、省略表現を
示すのに、〈〉の括弧と、下線を用いていたが、これに
限らず、さまざまな表現法が可能である。たとえば、括
弧の代わりに、白黒反転文字を使用したり、カラー表示
が可能な表示装置においては、色を換えて表示すること
も可能である。
In the sentence analysis result display process, the parentheses <> and the underline are used to indicate the abbreviated expression, but the present invention is not limited to this, and various expression methods are possible. For example, black-and-white inverted characters may be used instead of parentheses, and in a display device capable of color display, it is also possible to change the display color.

【0036】更には、入力文U5を例にとり、辞書・知
識ベース7に格納された列車情報に基づく省略補完では
なく、対話履歴保持部の情報をもとにした省略補完も可
能である。例えば、図5のような、メッセージS5から
メッセージS8まで、検索が進んだあとで、入力文U9
の質問が入力された場合で説明する。
Furthermore, taking the input sentence U5 as an example, it is also possible to perform omission completion based on the information of the dialogue history holding unit, instead of omission complement based on the train information stored in the dictionary / knowledge base 7. For example, as shown in FIG. 5, after the search proceeds from message S5 to message S8, input sentence U9
Explain when the question is input.

【0037】形態素解析処理(ステップS20)、構文
解析処理(ステップS30)、意味解析処理(ステップ
S40)を経て、図5にあるような意味解析結果が得ら
れる。その後、省略表現補完処理(ステップS50)に
より、第1の実施例で説明した機構と同様の機構を用い
て、図7にある結果のなかで、 (S9’) 帝国ホテルの〈ビュッフェ〉の〈ひかり
号〉を〈検索したい〉 の下線で示された部分が補完される。
Through the morphological analysis process (step S20), the syntactic analysis process (step S30), and the semantic analysis process (step S40), a semantic analysis result as shown in FIG. 5 is obtained. After that, by the abbreviation complementing process (step S50), using the same mechanism as the mechanism described in the first embodiment, among the results shown in FIG. 7, (S9 ′) <Buffet> of Imperial Hotel Hikari
No.> is complemented by the underlined part of <I want to search> .

【0038】それとともに、省略表現補完処理(ステッ
プS50)は、対話履歴保持部に保存された情報より、
図6にあるような対話履歴を省略可能情報保持に取り出
す。この情報により、メッセージS8にいたる過去の検
索条件により、そのメッセージS8の検索結果に対する
さらなる検索である可能性がある。省略表現補完処理で
は、制限条件としてメッセージS8の結果が省略されて
いると判断して、図7にあるような意味解析結果を文解
析結果表示処理(ステップS60)に渡す。この文解析
結果表示処理は、この意味表現をもとに、入力文U9の
質問文の解析結果として、 (S9’)〈S8の2本〉において、帝国ホテルの〈ビ
ュッフェ〉の〈ひかり号〉を〈検索したい〉 を表示する。その後、制御は質問内容判定処理(ステッ
プS70)に渡される。ここでは、メッセージS9’に
対する確認を使用者に行なう。もし、必要ならば質問応
答によって補完結果の修正を行い、それが終了したのち
に、その結果を情報検索処理(ステップS80)に渡
す。この情報検索処理では、(制限条件:S8)・(属
性:ビュッフェ:帝国ホテル)という条件で検索を行
い、その検索結果を結果表示処理(ステップS90)に
渡す。ここでは、その検索結果であるところの、 (S12) 6:00AM東京駅発のひかり16号で
す。 を表示する。そして、その結果を対話履歴保持部に渡す
とともに、制御を入力文受け取り処理(ステップS1
0)に戻す。
At the same time, the abbreviation complementing process (step S50) uses the information stored in the dialogue history holding unit to
The dialogue history as shown in FIG. 6 is taken out to hold the optional information. With this information, there is a possibility that the search result of the message S8 may be further searched depending on the past search conditions up to the message S8. In the abbreviation complementation process, it is determined that the result of the message S8 is omitted as a restriction condition, and the semantic analysis result as shown in FIG. 7 is passed to the sentence analysis result display process (step S60). The sentence analysis result display process, on the basis of this meaning representation, as an analysis result of the query sentence input sentence U9, (S9 ') in <two S8>, of Imperial <bi
Display <Hikari-go> of <uffe><Search> . Thereafter, the control is passed to the question content determination process (step S70). Here, the user is asked to confirm the message S9 '. If necessary, the supplementary result is corrected by a question answer, and after the correction is completed, the result is passed to the information retrieval process (step S80). In this information search processing, a search is performed under the conditions of (restriction condition: S8) and (attribute: buffet: Imperial Hotel), and the search result is passed to the result display processing (step S90). Here is the result of that search, (S12) 6:00 AM Hikari No. 16 from Tokyo Station. Is displayed. Then, the result is passed to the dialogue history holding unit, and control is performed to receive an input sentence (step S1).
Return to 0).

【0039】以上のように、本装置を用いた場合の対話
は、以下のようになる。
As described above, the dialogue when using this device is as follows.

【0040】(S8) 2本あります。(S8) There are two.

【0041】(S9’)〈S8の2本〉において、帝国
ホテルの〈ビュッフェ〉の〈ひかり号〉を〈検索した
い〉 (S12)6:00AM東京駅発のひかり16号です。
(S9 ') <Hikari-go> of <Buffet> of < Imperial Hotel > was <searched in < 2 of S8 >.
I> (S12) 6:00 AM Hikari No. 16 departing from Tokyo Station.

【0042】このように、図7において、U9からS1
2にいたるまでに6回の対話が、3回の対話で完了して
いる。
Thus, in FIG. 7, U9 through S1
Up to 2, 6 dialogues have been completed in 3 dialogues.

【0043】以上説明したように本実施例によれば、、
省略表現補完処理により補完された情報を文解析結果表
示処理で、その情報を追加して表示することにより、以
下の効果が得られるようになった。
As described above, according to this embodiment,
By displaying the information supplemented by the abbreviation complementation processing in the sentence analysis result display processing, the following effects can be obtained.

【0044】1.装置が補完した情報を、使用者が容易
に確認できるようになる。
1. The user can easily confirm the information complemented by the device.

【0045】2.入力文に追加して表示することで、装
置と使用者との間で行なう確認の作業に、不用なやりと
りをなくすことができるようになる。
2. By displaying it in addition to the input sentence, it becomes possible to eliminate unnecessary communication in the confirmation work performed between the device and the user.

【0046】3.表示形式を変更できることから、装置
のさまざまな補完処理を、使用者が区別して認識できる
ようになる。
3. Since the display format can be changed, the user can distinguish and recognize various complementary processes of the device.

【0047】また、実施例では、列車のダイヤを扱う装
置をれにしたが勿論これによって本発明が限定されるも
のではないし、プログラムを組み込むことで実現するよ
うにしても構わない。
Further, in the embodiment, the device for handling the train schedule is provided, but of course the present invention is not limited to this, and it may be realized by incorporating a program.

【0048】[0048]

【発明の効果】以上説明したように本発明によれば、検
索するために入力した文中に略称呼称の文字列があった
場合、容易にその入力文の本来の意図を確認することが
可能になる。
As described above, according to the present invention, when a character string of abbreviated name is included in a sentence input for searching, it is possible to easily confirm the original intention of the input sentence. Become.

【図面の簡単な説明】[Brief description of drawings]

【図1】本実施例における自然言語処理装置の処理の流
れを示すフローチャートである。
FIG. 1 is a flowchart showing a processing flow of a natural language processing apparatus according to this embodiment.

【図2】本実施例における動作内容を説明するための図
である。
FIG. 2 is a diagram for explaining operation contents in the present embodiment.

【図3】本実施例における動作内容を説明するための図
である。
FIG. 3 is a diagram for explaining operation contents in the present embodiment.

【図4】本実施例における動作内容を説明するための図
である。
FIG. 4 is a diagram for explaining operation contents in the present embodiment.

【図5】他の実施例における動作内容を説明するための
図である。
FIG. 5 is a diagram for explaining operation contents in another embodiment.

【図6】他の実施例における動作内容を説明するための
図である。
FIG. 6 is a diagram for explaining the operation content in another embodiment.

【図7】他の実施例における動作内容を説明するための
図である。
FIG. 7 is a diagram for explaining the operation content in another embodiment.

【図8】実施例における装置のブロック構成図である。FIG. 8 is a block configuration diagram of an apparatus according to an embodiment.

【図9】従来の自然言語処理装置の処理の流れを示すフ
ローチャートである。
FIG. 9 is a flowchart showing a processing flow of a conventional natural language processing device.

【図10】従来の自然言語処理装置の処理動作の例を示
す図
FIG. 10 is a diagram showing an example of a processing operation of a conventional natural language processing device.

【符号の説明】[Explanation of symbols]

1 CPU 2 ROM 3 RAM 4 キーボード 5 CRT 6 VRAM 7 辞書・知識ベース 8 データベース 1 CPU 2 ROM 3 RAM 4 keyboard 5 CRT 6 VRAM 7 dictionary / knowledge base 8 database

Claims (1)

【特許請求の範囲】[Claims] 【請求項1】 自然言語により入力された文によって情
報検索する自然言語処理装置において、 簡略呼称と正規名称とを対応づけて記憶する記憶手段
と、 検索するための文を入力する入力手段と、 入力された文を構成する文字列に前記記憶手段に記憶さ
れた略称呼称の文字列があるか否かを判別する判別手段
と、 該判別手段で略称呼称の文字列があると判別したとき、
当該文字列に対して前記記憶手段に記憶された正規文字
列を補完する補完手段と、 該補完手段で補完された文を表示する表示手段とを備え
ることを特徴とする自然言語処理装置。
1. A natural language processing device for retrieving information by a sentence input in a natural language, a storage unit for storing a simplified name and a canonical name in association with each other, and an input unit for inputting a sentence for retrieval. A determining unit that determines whether or not there is a character string of the abbreviated name stored in the storage unit in the character string forming the input sentence; and when the determining unit determines that there is a character string of the abbreviated name,
A natural language processing apparatus comprising: a complementing unit that complements the regular character string stored in the storage unit with respect to the character string, and a display unit that displays a sentence complemented by the complementing unit.
JP4174079A 1992-07-01 1992-07-01 Natural language processor Withdrawn JPH0619965A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
JP4174079A JPH0619965A (en) 1992-07-01 1992-07-01 Natural language processor

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
JP4174079A JPH0619965A (en) 1992-07-01 1992-07-01 Natural language processor

Publications (1)

Publication Number Publication Date
JPH0619965A true JPH0619965A (en) 1994-01-28

Family

ID=15972286

Family Applications (1)

Application Number Title Priority Date Filing Date
JP4174079A Withdrawn JPH0619965A (en) 1992-07-01 1992-07-01 Natural language processor

Country Status (1)

Country Link
JP (1) JPH0619965A (en)

Cited By (129)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2007500408A (en) * 2003-06-13 2007-01-11 マイクロソフト コーポレーション Database query user interface
JP2015052744A (en) * 2013-09-09 2015-03-19 Necパーソナルコンピュータ株式会社 Information processor, control method and program
JP2015052745A (en) * 2013-09-09 2015-03-19 Necパーソナルコンピュータ株式会社 Information processor, control method and program
US9300784B2 (en) 2013-06-13 2016-03-29 Apple Inc. System and method for emergency calls initiated by voice command
US9330381B2 (en) 2008-01-06 2016-05-03 Apple Inc. Portable multifunction device, method, and graphical user interface for viewing and managing electronic calendars
US9338493B2 (en) 2014-06-30 2016-05-10 Apple Inc. Intelligent automated assistant for TV user interactions
US9368114B2 (en) 2013-03-14 2016-06-14 Apple Inc. Context-sensitive handling of interruptions
US9430463B2 (en) 2014-05-30 2016-08-30 Apple Inc. Exemplar-based natural language processing
US9502031B2 (en) 2014-05-27 2016-11-22 Apple Inc. Method for supporting dynamic grammars in WFST-based ASR
US9535906B2 (en) 2008-07-31 2017-01-03 Apple Inc. Mobile device having human language translation capability with positional feedback
US9582608B2 (en) 2013-06-07 2017-02-28 Apple Inc. Unified ranking with entropy-weighted information for phrase-based semantic auto-completion
US9620105B2 (en) 2014-05-15 2017-04-11 Apple Inc. Analyzing audio input for efficient speech and music recognition
US9620104B2 (en) 2013-06-07 2017-04-11 Apple Inc. System and method for user-specified pronunciation of words for speech synthesis and recognition
US9619079B2 (en) 2005-09-30 2017-04-11 Apple Inc. Automated response to and sensing of user activity in portable devices
US9626955B2 (en) 2008-04-05 2017-04-18 Apple Inc. Intelligent text-to-speech conversion
US9633660B2 (en) 2010-02-25 2017-04-25 Apple Inc. User profiling for voice input processing
US9633674B2 (en) 2013-06-07 2017-04-25 Apple Inc. System and method for detecting errors in interactions with a voice-based digital assistant
US9633004B2 (en) 2014-05-30 2017-04-25 Apple Inc. Better resolution when referencing to concepts
US9646614B2 (en) 2000-03-16 2017-05-09 Apple Inc. Fast, language-independent method for user authentication by voice
US9646609B2 (en) 2014-09-30 2017-05-09 Apple Inc. Caching apparatus for serving phonetic pronunciations
US9668121B2 (en) 2014-09-30 2017-05-30 Apple Inc. Social reminders
US9691383B2 (en) 2008-09-05 2017-06-27 Apple Inc. Multi-tiered voice feedback in an electronic device
US9697822B1 (en) 2013-03-15 2017-07-04 Apple Inc. System and method for updating an adaptive speech recognition model
US9697820B2 (en) 2015-09-24 2017-07-04 Apple Inc. Unit-selection text-to-speech synthesis using concatenation-sensitive neural networks
US9711141B2 (en) 2014-12-09 2017-07-18 Apple Inc. Disambiguating heteronyms in speech synthesis
US9715875B2 (en) 2014-05-30 2017-07-25 Apple Inc. Reducing the need for manual start/end-pointing and trigger phrases
US9721566B2 (en) 2015-03-08 2017-08-01 Apple Inc. Competing devices responding to voice triggers
US9721563B2 (en) 2012-06-08 2017-08-01 Apple Inc. Name recognition system
US9733821B2 (en) 2013-03-14 2017-08-15 Apple Inc. Voice control to diagnose inadvertent activation of accessibility features
US9734193B2 (en) 2014-05-30 2017-08-15 Apple Inc. Determining domain salience ranking from ambiguous words in natural speech
US9760559B2 (en) 2014-05-30 2017-09-12 Apple Inc. Predictive text input
US9785630B2 (en) 2014-05-30 2017-10-10 Apple Inc. Text prediction using combined word N-gram and unigram language models
US9798393B2 (en) 2011-08-29 2017-10-24 Apple Inc. Text correction processing
US9818400B2 (en) 2014-09-11 2017-11-14 Apple Inc. Method and apparatus for discovering trending terms in speech requests
US9842101B2 (en) 2014-05-30 2017-12-12 Apple Inc. Predictive conversion of language input
US9842105B2 (en) 2015-04-16 2017-12-12 Apple Inc. Parsimonious continuous-space phrase representations for natural language processing
US9858925B2 (en) 2009-06-05 2018-01-02 Apple Inc. Using context information to facilitate processing of commands in a virtual assistant
US9865280B2 (en) 2015-03-06 2018-01-09 Apple Inc. Structured dictation using intelligent automated assistants
US9886432B2 (en) 2014-09-30 2018-02-06 Apple Inc. Parsimonious handling of word inflection via categorical stem + suffix N-gram language models
US9886953B2 (en) 2015-03-08 2018-02-06 Apple Inc. Virtual assistant activation
US9899019B2 (en) 2015-03-18 2018-02-20 Apple Inc. Systems and methods for structured stem and suffix language models
US9922642B2 (en) 2013-03-15 2018-03-20 Apple Inc. Training an at least partial voice command system
US9934775B2 (en) 2016-05-26 2018-04-03 Apple Inc. Unit-selection text-to-speech synthesis based on predicted concatenation parameters
US9946706B2 (en) 2008-06-07 2018-04-17 Apple Inc. Automatic language identification for dynamic text processing
US9953088B2 (en) 2012-05-14 2018-04-24 Apple Inc. Crowd sourcing information to fulfill user requests
US9959870B2 (en) 2008-12-11 2018-05-01 Apple Inc. Speech recognition involving a mobile device
US9966065B2 (en) 2014-05-30 2018-05-08 Apple Inc. Multi-command single utterance input method
US9966068B2 (en) 2013-06-08 2018-05-08 Apple Inc. Interpreting and acting upon commands that involve sharing information with remote devices
US9972304B2 (en) 2016-06-03 2018-05-15 Apple Inc. Privacy preserving distributed evaluation framework for embedded personalized systems
US9971774B2 (en) 2012-09-19 2018-05-15 Apple Inc. Voice-based media searching
US9977779B2 (en) 2013-03-14 2018-05-22 Apple Inc. Automatic supplementation of word correction dictionaries
US10002189B2 (en) 2007-12-20 2018-06-19 Apple Inc. Method and apparatus for searching using an active ontology
US10019994B2 (en) 2012-06-08 2018-07-10 Apple Inc. Systems and methods for recognizing textual identifiers within a plurality of words
US10049663B2 (en) 2016-06-08 2018-08-14 Apple, Inc. Intelligent automated assistant for media exploration
US10049668B2 (en) 2015-12-02 2018-08-14 Apple Inc. Applying neural network language models to weighted finite state transducers for automatic speech recognition
US10057736B2 (en) 2011-06-03 2018-08-21 Apple Inc. Active transport based notifications
US10067938B2 (en) 2016-06-10 2018-09-04 Apple Inc. Multilingual word prediction
US10074360B2 (en) 2014-09-30 2018-09-11 Apple Inc. Providing an indication of the suitability of speech recognition
US10078487B2 (en) 2013-03-15 2018-09-18 Apple Inc. Context-sensitive handling of interruptions
US10078631B2 (en) 2014-05-30 2018-09-18 Apple Inc. Entropy-guided text prediction using combined word and character n-gram language models
US10083688B2 (en) 2015-05-27 2018-09-25 Apple Inc. Device voice control for selecting a displayed affordance
US10089072B2 (en) 2016-06-11 2018-10-02 Apple Inc. Intelligent device arbitration and control
US10101822B2 (en) 2015-06-05 2018-10-16 Apple Inc. Language input correction
US10102359B2 (en) 2011-03-21 2018-10-16 Apple Inc. Device access using voice authentication
US10127911B2 (en) 2014-09-30 2018-11-13 Apple Inc. Speaker identification and unsupervised speaker adaptation techniques
US10127220B2 (en) 2015-06-04 2018-11-13 Apple Inc. Language identification from short strings
US10134385B2 (en) 2012-03-02 2018-11-20 Apple Inc. Systems and methods for name pronunciation
US10170123B2 (en) 2014-05-30 2019-01-01 Apple Inc. Intelligent assistant for home automation
US10176167B2 (en) 2013-06-09 2019-01-08 Apple Inc. System and method for inferring user intent from speech inputs
US10186254B2 (en) 2015-06-07 2019-01-22 Apple Inc. Context-based endpoint detection
US10185542B2 (en) 2013-06-09 2019-01-22 Apple Inc. Device, method, and graphical user interface for enabling conversation persistence across two or more instances of a digital assistant
US10192552B2 (en) 2016-06-10 2019-01-29 Apple Inc. Digital assistant providing whispered speech
US10199051B2 (en) 2013-02-07 2019-02-05 Apple Inc. Voice trigger for a digital assistant
US10223066B2 (en) 2015-12-23 2019-03-05 Apple Inc. Proactive assistance based on dialog communication between devices
US10241644B2 (en) 2011-06-03 2019-03-26 Apple Inc. Actionable reminder entries
US10241752B2 (en) 2011-09-30 2019-03-26 Apple Inc. Interface for a virtual digital assistant
US10249300B2 (en) 2016-06-06 2019-04-02 Apple Inc. Intelligent list reading
US10255566B2 (en) 2011-06-03 2019-04-09 Apple Inc. Generating and processing task items that represent tasks to perform
US10255907B2 (en) 2015-06-07 2019-04-09 Apple Inc. Automatic accent detection using acoustic models
US10269345B2 (en) 2016-06-11 2019-04-23 Apple Inc. Intelligent task discovery
US10276170B2 (en) 2010-01-18 2019-04-30 Apple Inc. Intelligent automated assistant
US10283110B2 (en) 2009-07-02 2019-05-07 Apple Inc. Methods and apparatuses for automatic speech recognition
US10289433B2 (en) 2014-05-30 2019-05-14 Apple Inc. Domain specific language for encoding assistant dialog
US10296160B2 (en) 2013-12-06 2019-05-21 Apple Inc. Method for extracting salient dialog usage from live data
US10297253B2 (en) 2016-06-11 2019-05-21 Apple Inc. Application integration with a digital assistant
US10318871B2 (en) 2005-09-08 2019-06-11 Apple Inc. Method and apparatus for building an intelligent automated assistant
US10348654B2 (en) 2003-05-02 2019-07-09 Apple Inc. Method and apparatus for displaying information during an instant messaging session
US10354011B2 (en) 2016-06-09 2019-07-16 Apple Inc. Intelligent automated assistant in a home environment
US10366158B2 (en) 2015-09-29 2019-07-30 Apple Inc. Efficient word encoding for recurrent neural network language models
US10381016B2 (en) 2008-01-03 2019-08-13 Apple Inc. Methods and apparatus for altering audio output signals
US10417037B2 (en) 2012-05-15 2019-09-17 Apple Inc. Systems and methods for integrating third party services with a digital assistant
US10446143B2 (en) 2016-03-14 2019-10-15 Apple Inc. Identification of voice inputs providing credentials
US10446141B2 (en) 2014-08-28 2019-10-15 Apple Inc. Automatic speech recognition based on user feedback
US10446167B2 (en) 2010-06-04 2019-10-15 Apple Inc. User-specific noise suppression for voice quality improvements
US10490187B2 (en) 2016-06-10 2019-11-26 Apple Inc. Digital assistant providing automated status report
US10496753B2 (en) 2010-01-18 2019-12-03 Apple Inc. Automatically adapting user interfaces for hands-free interaction
US10509862B2 (en) 2016-06-10 2019-12-17 Apple Inc. Dynamic phrase expansion of language input
US10515147B2 (en) 2010-12-22 2019-12-24 Apple Inc. Using statistical language models for contextual lookup
US10521466B2 (en) 2016-06-11 2019-12-31 Apple Inc. Data driven natural language event detection and classification
US10540976B2 (en) 2009-06-05 2020-01-21 Apple Inc. Contextual voice commands
US10552013B2 (en) 2014-12-02 2020-02-04 Apple Inc. Data detection
US10553209B2 (en) 2010-01-18 2020-02-04 Apple Inc. Systems and methods for hands-free notification summaries
US10567477B2 (en) 2015-03-08 2020-02-18 Apple Inc. Virtual assistant continuity
US10572476B2 (en) 2013-03-14 2020-02-25 Apple Inc. Refining a search based on schedule items
US10592095B2 (en) 2014-05-23 2020-03-17 Apple Inc. Instantaneous speaking of content on touch devices
US10593346B2 (en) 2016-12-22 2020-03-17 Apple Inc. Rank-reduced token representation for automatic speech recognition
US10607141B2 (en) 2010-01-25 2020-03-31 Newvaluexchange Ltd. Apparatuses, methods and systems for a digital conversation management platform
US10643611B2 (en) 2008-10-02 2020-05-05 Apple Inc. Electronic devices with voice command and contextual data processing capabilities
US10642574B2 (en) 2013-03-14 2020-05-05 Apple Inc. Device, method, and graphical user interface for outputting captions
US10659851B2 (en) 2014-06-30 2020-05-19 Apple Inc. Real-time digital assistant knowledge updates
US10672399B2 (en) 2011-06-03 2020-06-02 Apple Inc. Switching between text data and audio data based on a mapping
US10671428B2 (en) 2015-09-08 2020-06-02 Apple Inc. Distributed personal assistant
US10679605B2 (en) 2010-01-18 2020-06-09 Apple Inc. Hands-free list-reading by intelligent automated assistant
US10691473B2 (en) 2015-11-06 2020-06-23 Apple Inc. Intelligent automated assistant in a messaging environment
US10705794B2 (en) 2010-01-18 2020-07-07 Apple Inc. Automatically adapting user interfaces for hands-free interaction
US10706841B2 (en) 2010-01-18 2020-07-07 Apple Inc. Task flow identification based on user intent
US10733993B2 (en) 2016-06-10 2020-08-04 Apple Inc. Intelligent digital assistant in a multi-tasking environment
US10747498B2 (en) 2015-09-08 2020-08-18 Apple Inc. Zero latency digital assistant
US10748529B1 (en) 2013-03-15 2020-08-18 Apple Inc. Voice activated device for use with a voice-based digital assistant
US10762293B2 (en) 2010-12-22 2020-09-01 Apple Inc. Using parts-of-speech tagging and named entity recognition for spelling correction
US10791216B2 (en) 2013-08-06 2020-09-29 Apple Inc. Auto-activating smart responses based on activities from remote devices
US10789041B2 (en) 2014-09-12 2020-09-29 Apple Inc. Dynamic thresholds for always listening speech trigger
US10791176B2 (en) 2017-05-12 2020-09-29 Apple Inc. Synchronization and task delegation of a digital assistant
US10810274B2 (en) 2017-05-15 2020-10-20 Apple Inc. Optimizing dialogue policy decisions for digital assistants using implicit feedback
US11010550B2 (en) 2015-09-29 2021-05-18 Apple Inc. Unified language modeling framework for word prediction, auto-completion and auto-correction
US11025565B2 (en) 2015-06-07 2021-06-01 Apple Inc. Personalized prediction of responses for instant messaging
US11151899B2 (en) 2013-03-15 2021-10-19 Apple Inc. User training by intelligent digital assistant
US11388291B2 (en) 2013-03-14 2022-07-12 Apple Inc. System and method for processing voicemail
US11587559B2 (en) 2015-09-30 2023-02-21 Apple Inc. Intelligent device identification

Cited By (171)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9646614B2 (en) 2000-03-16 2017-05-09 Apple Inc. Fast, language-independent method for user authentication by voice
US10348654B2 (en) 2003-05-02 2019-07-09 Apple Inc. Method and apparatus for displaying information during an instant messaging session
US10623347B2 (en) 2003-05-02 2020-04-14 Apple Inc. Method and apparatus for displaying information during an instant messaging session
US8447775B2 (en) 2003-06-13 2013-05-21 Microsoft Corporation Database query user interface to assist in efficient and accurate query construction
JP2007500408A (en) * 2003-06-13 2007-01-11 マイクロソフト コーポレーション Database query user interface
US10318871B2 (en) 2005-09-08 2019-06-11 Apple Inc. Method and apparatus for building an intelligent automated assistant
US9958987B2 (en) 2005-09-30 2018-05-01 Apple Inc. Automated response to and sensing of user activity in portable devices
US9619079B2 (en) 2005-09-30 2017-04-11 Apple Inc. Automated response to and sensing of user activity in portable devices
US11023513B2 (en) 2007-12-20 2021-06-01 Apple Inc. Method and apparatus for searching using an active ontology
US10002189B2 (en) 2007-12-20 2018-06-19 Apple Inc. Method and apparatus for searching using an active ontology
US10381016B2 (en) 2008-01-03 2019-08-13 Apple Inc. Methods and apparatus for altering audio output signals
US11126326B2 (en) 2008-01-06 2021-09-21 Apple Inc. Portable multifunction device, method, and graphical user interface for viewing and managing electronic calendars
US10503366B2 (en) 2008-01-06 2019-12-10 Apple Inc. Portable multifunction device, method, and graphical user interface for viewing and managing electronic calendars
US9330381B2 (en) 2008-01-06 2016-05-03 Apple Inc. Portable multifunction device, method, and graphical user interface for viewing and managing electronic calendars
US9626955B2 (en) 2008-04-05 2017-04-18 Apple Inc. Intelligent text-to-speech conversion
US9865248B2 (en) 2008-04-05 2018-01-09 Apple Inc. Intelligent text-to-speech conversion
US9946706B2 (en) 2008-06-07 2018-04-17 Apple Inc. Automatic language identification for dynamic text processing
US9535906B2 (en) 2008-07-31 2017-01-03 Apple Inc. Mobile device having human language translation capability with positional feedback
US10108612B2 (en) 2008-07-31 2018-10-23 Apple Inc. Mobile device having human language translation capability with positional feedback
US9691383B2 (en) 2008-09-05 2017-06-27 Apple Inc. Multi-tiered voice feedback in an electronic device
US11348582B2 (en) 2008-10-02 2022-05-31 Apple Inc. Electronic devices with voice command and contextual data processing capabilities
US10643611B2 (en) 2008-10-02 2020-05-05 Apple Inc. Electronic devices with voice command and contextual data processing capabilities
US9959870B2 (en) 2008-12-11 2018-05-01 Apple Inc. Speech recognition involving a mobile device
US10795541B2 (en) 2009-06-05 2020-10-06 Apple Inc. Intelligent organization of tasks items
US10540976B2 (en) 2009-06-05 2020-01-21 Apple Inc. Contextual voice commands
US11080012B2 (en) 2009-06-05 2021-08-03 Apple Inc. Interface for a virtual digital assistant
US10475446B2 (en) 2009-06-05 2019-11-12 Apple Inc. Using context information to facilitate processing of commands in a virtual assistant
US9858925B2 (en) 2009-06-05 2018-01-02 Apple Inc. Using context information to facilitate processing of commands in a virtual assistant
US10283110B2 (en) 2009-07-02 2019-05-07 Apple Inc. Methods and apparatuses for automatic speech recognition
US10276170B2 (en) 2010-01-18 2019-04-30 Apple Inc. Intelligent automated assistant
US11423886B2 (en) 2010-01-18 2022-08-23 Apple Inc. Task flow identification based on user intent
US10679605B2 (en) 2010-01-18 2020-06-09 Apple Inc. Hands-free list-reading by intelligent automated assistant
US10553209B2 (en) 2010-01-18 2020-02-04 Apple Inc. Systems and methods for hands-free notification summaries
US10705794B2 (en) 2010-01-18 2020-07-07 Apple Inc. Automatically adapting user interfaces for hands-free interaction
US10706841B2 (en) 2010-01-18 2020-07-07 Apple Inc. Task flow identification based on user intent
US10496753B2 (en) 2010-01-18 2019-12-03 Apple Inc. Automatically adapting user interfaces for hands-free interaction
US10607141B2 (en) 2010-01-25 2020-03-31 Newvaluexchange Ltd. Apparatuses, methods and systems for a digital conversation management platform
US11410053B2 (en) 2010-01-25 2022-08-09 Newvaluexchange Ltd. Apparatuses, methods and systems for a digital conversation management platform
US10607140B2 (en) 2010-01-25 2020-03-31 Newvaluexchange Ltd. Apparatuses, methods and systems for a digital conversation management platform
US10984327B2 (en) 2010-01-25 2021-04-20 New Valuexchange Ltd. Apparatuses, methods and systems for a digital conversation management platform
US10984326B2 (en) 2010-01-25 2021-04-20 Newvaluexchange Ltd. Apparatuses, methods and systems for a digital conversation management platform
US9633660B2 (en) 2010-02-25 2017-04-25 Apple Inc. User profiling for voice input processing
US10049675B2 (en) 2010-02-25 2018-08-14 Apple Inc. User profiling for voice input processing
US10446167B2 (en) 2010-06-04 2019-10-15 Apple Inc. User-specific noise suppression for voice quality improvements
US10762293B2 (en) 2010-12-22 2020-09-01 Apple Inc. Using parts-of-speech tagging and named entity recognition for spelling correction
US10515147B2 (en) 2010-12-22 2019-12-24 Apple Inc. Using statistical language models for contextual lookup
US10102359B2 (en) 2011-03-21 2018-10-16 Apple Inc. Device access using voice authentication
US10672399B2 (en) 2011-06-03 2020-06-02 Apple Inc. Switching between text data and audio data based on a mapping
US10706373B2 (en) 2011-06-03 2020-07-07 Apple Inc. Performing actions associated with task items that represent tasks to perform
US11120372B2 (en) 2011-06-03 2021-09-14 Apple Inc. Performing actions associated with task items that represent tasks to perform
US10057736B2 (en) 2011-06-03 2018-08-21 Apple Inc. Active transport based notifications
US10241644B2 (en) 2011-06-03 2019-03-26 Apple Inc. Actionable reminder entries
US10255566B2 (en) 2011-06-03 2019-04-09 Apple Inc. Generating and processing task items that represent tasks to perform
US9798393B2 (en) 2011-08-29 2017-10-24 Apple Inc. Text correction processing
US10241752B2 (en) 2011-09-30 2019-03-26 Apple Inc. Interface for a virtual digital assistant
US10134385B2 (en) 2012-03-02 2018-11-20 Apple Inc. Systems and methods for name pronunciation
US9953088B2 (en) 2012-05-14 2018-04-24 Apple Inc. Crowd sourcing information to fulfill user requests
US10417037B2 (en) 2012-05-15 2019-09-17 Apple Inc. Systems and methods for integrating third party services with a digital assistant
US10079014B2 (en) 2012-06-08 2018-09-18 Apple Inc. Name recognition system
US9721563B2 (en) 2012-06-08 2017-08-01 Apple Inc. Name recognition system
US10019994B2 (en) 2012-06-08 2018-07-10 Apple Inc. Systems and methods for recognizing textual identifiers within a plurality of words
US9971774B2 (en) 2012-09-19 2018-05-15 Apple Inc. Voice-based media searching
US10199051B2 (en) 2013-02-07 2019-02-05 Apple Inc. Voice trigger for a digital assistant
US10978090B2 (en) 2013-02-07 2021-04-13 Apple Inc. Voice trigger for a digital assistant
US10642574B2 (en) 2013-03-14 2020-05-05 Apple Inc. Device, method, and graphical user interface for outputting captions
US11388291B2 (en) 2013-03-14 2022-07-12 Apple Inc. System and method for processing voicemail
US9977779B2 (en) 2013-03-14 2018-05-22 Apple Inc. Automatic supplementation of word correction dictionaries
US9368114B2 (en) 2013-03-14 2016-06-14 Apple Inc. Context-sensitive handling of interruptions
US9733821B2 (en) 2013-03-14 2017-08-15 Apple Inc. Voice control to diagnose inadvertent activation of accessibility features
US10572476B2 (en) 2013-03-14 2020-02-25 Apple Inc. Refining a search based on schedule items
US10748529B1 (en) 2013-03-15 2020-08-18 Apple Inc. Voice activated device for use with a voice-based digital assistant
US11151899B2 (en) 2013-03-15 2021-10-19 Apple Inc. User training by intelligent digital assistant
US9697822B1 (en) 2013-03-15 2017-07-04 Apple Inc. System and method for updating an adaptive speech recognition model
US10078487B2 (en) 2013-03-15 2018-09-18 Apple Inc. Context-sensitive handling of interruptions
US9922642B2 (en) 2013-03-15 2018-03-20 Apple Inc. Training an at least partial voice command system
US9633674B2 (en) 2013-06-07 2017-04-25 Apple Inc. System and method for detecting errors in interactions with a voice-based digital assistant
US9620104B2 (en) 2013-06-07 2017-04-11 Apple Inc. System and method for user-specified pronunciation of words for speech synthesis and recognition
US9966060B2 (en) 2013-06-07 2018-05-08 Apple Inc. System and method for user-specified pronunciation of words for speech synthesis and recognition
US9582608B2 (en) 2013-06-07 2017-02-28 Apple Inc. Unified ranking with entropy-weighted information for phrase-based semantic auto-completion
US10657961B2 (en) 2013-06-08 2020-05-19 Apple Inc. Interpreting and acting upon commands that involve sharing information with remote devices
US9966068B2 (en) 2013-06-08 2018-05-08 Apple Inc. Interpreting and acting upon commands that involve sharing information with remote devices
US10185542B2 (en) 2013-06-09 2019-01-22 Apple Inc. Device, method, and graphical user interface for enabling conversation persistence across two or more instances of a digital assistant
US10176167B2 (en) 2013-06-09 2019-01-08 Apple Inc. System and method for inferring user intent from speech inputs
US9300784B2 (en) 2013-06-13 2016-03-29 Apple Inc. System and method for emergency calls initiated by voice command
US10791216B2 (en) 2013-08-06 2020-09-29 Apple Inc. Auto-activating smart responses based on activities from remote devices
JP2015052745A (en) * 2013-09-09 2015-03-19 Necパーソナルコンピュータ株式会社 Information processor, control method and program
JP2015052744A (en) * 2013-09-09 2015-03-19 Necパーソナルコンピュータ株式会社 Information processor, control method and program
US10296160B2 (en) 2013-12-06 2019-05-21 Apple Inc. Method for extracting salient dialog usage from live data
US9620105B2 (en) 2014-05-15 2017-04-11 Apple Inc. Analyzing audio input for efficient speech and music recognition
US10592095B2 (en) 2014-05-23 2020-03-17 Apple Inc. Instantaneous speaking of content on touch devices
US9502031B2 (en) 2014-05-27 2016-11-22 Apple Inc. Method for supporting dynamic grammars in WFST-based ASR
US9966065B2 (en) 2014-05-30 2018-05-08 Apple Inc. Multi-command single utterance input method
US11257504B2 (en) 2014-05-30 2022-02-22 Apple Inc. Intelligent assistant for home automation
US10289433B2 (en) 2014-05-30 2019-05-14 Apple Inc. Domain specific language for encoding assistant dialog
US9430463B2 (en) 2014-05-30 2016-08-30 Apple Inc. Exemplar-based natural language processing
US9842101B2 (en) 2014-05-30 2017-12-12 Apple Inc. Predictive conversion of language input
US10078631B2 (en) 2014-05-30 2018-09-18 Apple Inc. Entropy-guided text prediction using combined word and character n-gram language models
US10083690B2 (en) 2014-05-30 2018-09-25 Apple Inc. Better resolution when referencing to concepts
US10497365B2 (en) 2014-05-30 2019-12-03 Apple Inc. Multi-command single utterance input method
US10169329B2 (en) 2014-05-30 2019-01-01 Apple Inc. Exemplar-based natural language processing
US9633004B2 (en) 2014-05-30 2017-04-25 Apple Inc. Better resolution when referencing to concepts
US10170123B2 (en) 2014-05-30 2019-01-01 Apple Inc. Intelligent assistant for home automation
US9734193B2 (en) 2014-05-30 2017-08-15 Apple Inc. Determining domain salience ranking from ambiguous words in natural speech
US9760559B2 (en) 2014-05-30 2017-09-12 Apple Inc. Predictive text input
US11133008B2 (en) 2014-05-30 2021-09-28 Apple Inc. Reducing the need for manual start/end-pointing and trigger phrases
US9715875B2 (en) 2014-05-30 2017-07-25 Apple Inc. Reducing the need for manual start/end-pointing and trigger phrases
US9785630B2 (en) 2014-05-30 2017-10-10 Apple Inc. Text prediction using combined word N-gram and unigram language models
US9668024B2 (en) 2014-06-30 2017-05-30 Apple Inc. Intelligent automated assistant for TV user interactions
US10659851B2 (en) 2014-06-30 2020-05-19 Apple Inc. Real-time digital assistant knowledge updates
US9338493B2 (en) 2014-06-30 2016-05-10 Apple Inc. Intelligent automated assistant for TV user interactions
US10904611B2 (en) 2014-06-30 2021-01-26 Apple Inc. Intelligent automated assistant for TV user interactions
US10446141B2 (en) 2014-08-28 2019-10-15 Apple Inc. Automatic speech recognition based on user feedback
US9818400B2 (en) 2014-09-11 2017-11-14 Apple Inc. Method and apparatus for discovering trending terms in speech requests
US10431204B2 (en) 2014-09-11 2019-10-01 Apple Inc. Method and apparatus for discovering trending terms in speech requests
US10789041B2 (en) 2014-09-12 2020-09-29 Apple Inc. Dynamic thresholds for always listening speech trigger
US10127911B2 (en) 2014-09-30 2018-11-13 Apple Inc. Speaker identification and unsupervised speaker adaptation techniques
US9668121B2 (en) 2014-09-30 2017-05-30 Apple Inc. Social reminders
US9886432B2 (en) 2014-09-30 2018-02-06 Apple Inc. Parsimonious handling of word inflection via categorical stem + suffix N-gram language models
US10074360B2 (en) 2014-09-30 2018-09-11 Apple Inc. Providing an indication of the suitability of speech recognition
US9646609B2 (en) 2014-09-30 2017-05-09 Apple Inc. Caching apparatus for serving phonetic pronunciations
US9986419B2 (en) 2014-09-30 2018-05-29 Apple Inc. Social reminders
US10552013B2 (en) 2014-12-02 2020-02-04 Apple Inc. Data detection
US11556230B2 (en) 2014-12-02 2023-01-17 Apple Inc. Data detection
US9711141B2 (en) 2014-12-09 2017-07-18 Apple Inc. Disambiguating heteronyms in speech synthesis
US9865280B2 (en) 2015-03-06 2018-01-09 Apple Inc. Structured dictation using intelligent automated assistants
US10311871B2 (en) 2015-03-08 2019-06-04 Apple Inc. Competing devices responding to voice triggers
US11087759B2 (en) 2015-03-08 2021-08-10 Apple Inc. Virtual assistant activation
US9721566B2 (en) 2015-03-08 2017-08-01 Apple Inc. Competing devices responding to voice triggers
US10567477B2 (en) 2015-03-08 2020-02-18 Apple Inc. Virtual assistant continuity
US9886953B2 (en) 2015-03-08 2018-02-06 Apple Inc. Virtual assistant activation
US9899019B2 (en) 2015-03-18 2018-02-20 Apple Inc. Systems and methods for structured stem and suffix language models
US9842105B2 (en) 2015-04-16 2017-12-12 Apple Inc. Parsimonious continuous-space phrase representations for natural language processing
US10083688B2 (en) 2015-05-27 2018-09-25 Apple Inc. Device voice control for selecting a displayed affordance
US10127220B2 (en) 2015-06-04 2018-11-13 Apple Inc. Language identification from short strings
US10101822B2 (en) 2015-06-05 2018-10-16 Apple Inc. Language input correction
US11025565B2 (en) 2015-06-07 2021-06-01 Apple Inc. Personalized prediction of responses for instant messaging
US10255907B2 (en) 2015-06-07 2019-04-09 Apple Inc. Automatic accent detection using acoustic models
US10186254B2 (en) 2015-06-07 2019-01-22 Apple Inc. Context-based endpoint detection
US11500672B2 (en) 2015-09-08 2022-11-15 Apple Inc. Distributed personal assistant
US10747498B2 (en) 2015-09-08 2020-08-18 Apple Inc. Zero latency digital assistant
US10671428B2 (en) 2015-09-08 2020-06-02 Apple Inc. Distributed personal assistant
US9697820B2 (en) 2015-09-24 2017-07-04 Apple Inc. Unit-selection text-to-speech synthesis using concatenation-sensitive neural networks
US11010550B2 (en) 2015-09-29 2021-05-18 Apple Inc. Unified language modeling framework for word prediction, auto-completion and auto-correction
US10366158B2 (en) 2015-09-29 2019-07-30 Apple Inc. Efficient word encoding for recurrent neural network language models
US11587559B2 (en) 2015-09-30 2023-02-21 Apple Inc. Intelligent device identification
US10691473B2 (en) 2015-11-06 2020-06-23 Apple Inc. Intelligent automated assistant in a messaging environment
US11526368B2 (en) 2015-11-06 2022-12-13 Apple Inc. Intelligent automated assistant in a messaging environment
US10049668B2 (en) 2015-12-02 2018-08-14 Apple Inc. Applying neural network language models to weighted finite state transducers for automatic speech recognition
US10223066B2 (en) 2015-12-23 2019-03-05 Apple Inc. Proactive assistance based on dialog communication between devices
US10446143B2 (en) 2016-03-14 2019-10-15 Apple Inc. Identification of voice inputs providing credentials
US9934775B2 (en) 2016-05-26 2018-04-03 Apple Inc. Unit-selection text-to-speech synthesis based on predicted concatenation parameters
US9972304B2 (en) 2016-06-03 2018-05-15 Apple Inc. Privacy preserving distributed evaluation framework for embedded personalized systems
US10249300B2 (en) 2016-06-06 2019-04-02 Apple Inc. Intelligent list reading
US10049663B2 (en) 2016-06-08 2018-08-14 Apple, Inc. Intelligent automated assistant for media exploration
US11069347B2 (en) 2016-06-08 2021-07-20 Apple Inc. Intelligent automated assistant for media exploration
US10354011B2 (en) 2016-06-09 2019-07-16 Apple Inc. Intelligent automated assistant in a home environment
US10067938B2 (en) 2016-06-10 2018-09-04 Apple Inc. Multilingual word prediction
US10192552B2 (en) 2016-06-10 2019-01-29 Apple Inc. Digital assistant providing whispered speech
US10509862B2 (en) 2016-06-10 2019-12-17 Apple Inc. Dynamic phrase expansion of language input
US10490187B2 (en) 2016-06-10 2019-11-26 Apple Inc. Digital assistant providing automated status report
US10733993B2 (en) 2016-06-10 2020-08-04 Apple Inc. Intelligent digital assistant in a multi-tasking environment
US11037565B2 (en) 2016-06-10 2021-06-15 Apple Inc. Intelligent digital assistant in a multi-tasking environment
US11152002B2 (en) 2016-06-11 2021-10-19 Apple Inc. Application integration with a digital assistant
US10089072B2 (en) 2016-06-11 2018-10-02 Apple Inc. Intelligent device arbitration and control
US10269345B2 (en) 2016-06-11 2019-04-23 Apple Inc. Intelligent task discovery
US10297253B2 (en) 2016-06-11 2019-05-21 Apple Inc. Application integration with a digital assistant
US10521466B2 (en) 2016-06-11 2019-12-31 Apple Inc. Data driven natural language event detection and classification
US10593346B2 (en) 2016-12-22 2020-03-17 Apple Inc. Rank-reduced token representation for automatic speech recognition
US10791176B2 (en) 2017-05-12 2020-09-29 Apple Inc. Synchronization and task delegation of a digital assistant
US11405466B2 (en) 2017-05-12 2022-08-02 Apple Inc. Synchronization and task delegation of a digital assistant
US10810274B2 (en) 2017-05-15 2020-10-20 Apple Inc. Optimizing dialogue policy decisions for digital assistants using implicit feedback

Similar Documents

Publication Publication Date Title
JPH0619965A (en) Natural language processor
JP2783558B2 (en) Summary generation method and summary generation device
EP0971294A2 (en) Method and apparatus for automated search and retrieval processing
JPH03278174A (en) Translation method and system for communication between different language
US4953088A (en) Sentence translator with processing stage indicator
JP3123836B2 (en) Text type database device
JP4007630B2 (en) Bilingual example sentence registration device
JPH07325826A (en) Japanese language processing system
JPS61187077A (en) Japanese language analyzer
JP2817497B2 (en) Dictionary editing device
JPH0628396A (en) Electronic dictionary
JP2000242643A (en) Device and method for supporting english sentence preparation and storage medium
JPS60112175A (en) Abbreviation conversion system of kana (japanese syllabary)/kanji (chinese character) convertor
JPS613267A (en) Kana to kanji conversion processor
JPH09179865A (en) Machine translation device with deciding function for translation object area
JPH0314162A (en) Document processor
JPH06187370A (en) Document read assisting device
JPH02278368A (en) Machine translation input processing system
JPH0368074A (en) Context processing system dependent upon area designation
JPS62226270A (en) Sentence preparing device
JPH03225468A (en) Machine translation device
JPH0844722A (en) Kana-kanji conversion device
JPH02184961A (en) Dictionary retrieve method
JPH09231226A (en) Maintenance device for dictionary for machine translation
JPH0460754A (en) Kana/kanji (chinese character) conversion system

Legal Events

Date Code Title Description
A300 Application deemed to be withdrawn because no request for examination was validly filed

Free format text: JAPANESE INTERMEDIATE CODE: A300

Effective date: 19991005