JPH0531188B2 - - Google Patents

Info

Publication number
JPH0531188B2
JPH0531188B2 JP61204886A JP20488686A JPH0531188B2 JP H0531188 B2 JPH0531188 B2 JP H0531188B2 JP 61204886 A JP61204886 A JP 61204886A JP 20488686 A JP20488686 A JP 20488686A JP H0531188 B2 JPH0531188 B2 JP H0531188B2
Authority
JP
Japan
Prior art keywords
verb
value
storage means
successor
word
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.)
Expired - Lifetime
Application number
JP61204886A
Other languages
Japanese (ja)
Other versions
JPS6359665A (en
Inventor
Hideo Shimazu
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.)
NEC Corp
Original Assignee
Nippon Electric Co Ltd
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 Nippon Electric Co Ltd filed Critical Nippon Electric Co Ltd
Priority to JP61204886A priority Critical patent/JPS6359665A/en
Publication of JPS6359665A publication Critical patent/JPS6359665A/en
Publication of JPH0531188B2 publication Critical patent/JPH0531188B2/ja
Granted legal-status Critical Current

Links

Landscapes

  • Machine Translation (AREA)

Description

【発明の詳細な説明】 (産業上の利用分野) 本発明は、自然言語処理においてある動作と別
の動作の間の時間的連続性を判定する装置に関す
る。
DETAILED DESCRIPTION OF THE INVENTION (Field of Industrial Application) The present invention relates to an apparatus for determining temporal continuity between a certain action and another action in natural language processing.

(従来技術とその問題点) 従来自然言語解析の手法は、機械翻訳を含めて
単文単位の処理が一般的であつた。しかし、自然
言語の深い理解は文を超えた文脈解析処理をしな
くては実現されない。本発明の目的は、文脈理解
の一つとしてある動作者のした2つの動作の間の
時間的連続性を判定する方法と装置を提供するこ
とにある。
(Prior art and its problems) Conventional natural language analysis methods, including machine translation, have generally processed single sentences. However, deep understanding of natural language cannot be achieved without context analysis that goes beyond sentences. An object of the present invention is to provide a method and apparatus for determining temporal continuity between two actions performed by a certain operator as part of context understanding.

(問題点を解決するための手段) また、本願の発明になる動作連続性検査装置
は:入力された動詞単語を格納する前方動詞格納
手段と;前記入力された動詞単語の次に入力され
た動詞単語を格納する後方動詞格納手段と;動詞
単位に各動詞の示す動作を中止させるか終了させ
る後継動詞の候補が登録され動詞が入力されると
前記入力される動詞の後継動詞の候補を出力する
単語辞書と;カウンタと;前記前方動詞格納手段
の値と前記後方動詞格納手段の値を比較して一致
すれば処理が終了したことを通知し一致しなけれ
ば前記カウンタの値を1減じ、前記カウンタの値
が0になれば処理の中断を通知し、0でなければ
前記前方動詞格納手段の値を前記単語辞書に渡し
て、前記単語辞書から出力される前記前方動詞格
納手段が格納する動詞単語の後継動詞の候補をす
べて取り込み、前記前方動詞格納手段が格納する
動詞単語の後継動詞の候補のそれぞれを前記後方
動詞格納手段が格納する動詞単語と比較し、一致
すれば処理が終了したことを通知し一致しなけれ
ば前記カウンタの値を1減じ前記カウンタの値が
0になれば処理の中断を通知し、0でなければ前
記後継動詞の候補を前記単語辞書に渡して前記単
語辞書の出力を取り込み再び一致検査を繰り返す
手段とからなる。
(Means for Solving the Problems) Further, the motion continuity testing device according to the invention of the present application includes: forward verb storage means for storing an input verb word; a backward verb storage means for storing verb words; candidates for successor verbs that cancel or terminate the action indicated by each verb are registered for each verb; when a verb is input, candidates for successor verbs of the input verb are outputted; a word dictionary; a counter; comparing the value of the forward verb storage means and the value of the backward verb storage means; if they match, it is notified that the processing has been completed; if they do not match, the value of the counter is decreased by 1; If the value of the counter becomes 0, it is notified that the process is interrupted, and if it is not 0, the value of the forward verb storage means is passed to the word dictionary, and the forward verb storage means output from the word dictionary stores it. All successor verb candidates for the verb word are taken in, and each of the successor verb candidates for the verb word stored in the forward verb storage means is compared with the verb word stored in the backward verb storage means, and if they match, the process is terminated. If they do not match, the value of the counter is decremented by 1. If the value of the counter becomes 0, an interruption of the process is notified, and if the value of the counter is not 0, the successor verb candidate is passed to the word dictionary. and means to take in the output of and repeat the matching check again.

(作用と原理) 本願の発明は上記の手段により従来技術の問題
点を解決した。次に図面を参照してこれら本願発
明の作用を説明する。次の例で説明する。
(Operation and Principle) The invention of the present application has solved the problems of the prior art by the above means. Next, the functions of the present invention will be explained with reference to the drawings. This will be explained with the following example.

「うさぎは、走つています。」 「うさぎは、寝る。」 この例で、文脈解析の1つとして、うさぎが、
「走る」と「寝る」の間にどういう動作をしたの
かを明らかにしなくてはならない。第3図は本発
明の持つ単語辞書をグラフ的に記述した図であ
る。これは、例えば、「走る」を中止させるか終
了させる後継動詞は、止まる、当たる、飛ぶ、で
あることを示している。本発明方式では、「走る」
という動詞を受け取ると、まず、その後継動詞の
中に「寝る」があるかどうか調べ、あれば処理を
終了し、なければ後継動詞の後継動詞を調べる、
ということをする。これは、第3図では、進行す
る、寝る、座る、こわす、倒れる、当たる、落ち
る、降りる、の各動詞である。この中には「寝
る」という動詞が存在するので、これで処理が終
了する。この例では、1段の中間動作を介して
「走る」と「寝る」が接続することが確認された
が、入力される動詞によつては2つの動詞の間に
時間的連続性がないときもあるので、本願発明で
は利用者があらかじめ一致検査の段数の最大数を
設定できるようになつている。本願発明では、設
定された段数の最大数を超えたら一致検査を中止
する。
``The rabbit is running.'' ``The rabbit is sleeping.'' In this example, as part of the context analysis, the rabbit is
It is necessary to clarify what movements were performed between ``running'' and ``sleeping''. FIG. 3 is a diagram graphically describing the word dictionary of the present invention. This indicates, for example, that the successor verbs that stop or end ``run'' are ``stop'', ``hit'', and ``fly''. In the method of the present invention, "running"
When we receive a verb, we first check to see if there is a ``sleep'' in its successor verbs, and if there is, we end the process, and if not, we check the successor verb of the successor verb.
That's what I do. In Figure 3, these are the verbs to advance, to lie down, to sit, to break, to fall, to hit, to fall, and to get down. This includes the verb "sleep", so the process ends here. In this example, it was confirmed that "run" and "sleep" are connected through one intermediate action, but depending on the input verb, there may be no temporal continuity between the two verbs. Therefore, in the present invention, the user can set in advance the maximum number of stages for the matching check. In the present invention, the matching check is stopped when the set maximum number of stages is exceeded.

(実施例) 以下、本発明の詳細を実施例を挙げて説明す
る。
(Example) Hereinafter, the details of the present invention will be explained with reference to Examples.

第1図は本願の発明の第1の一実施例を示すブ
ロツク図である。第1図において、1は動詞単語
を格納する前方動詞格納手段、2は動詞単語を格
納する後方動詞格納手段、4はカウンタ、5は動
詞を格納し動詞単位に各動詞の示す動作を中止さ
せるか終了させる後継動詞の候補が登録された単
語辞書、3は内部に格納しているデータと後方動
詞格納手段2との一致を調べ、一致すれば終了
し、一致しないときには単語辞書5から後方動詞
格納手段2と一致しなかつた前記データの後継動
詞の候補を単語辞書3から取り出して内部に取り
込み、再び前記データの後継動詞の候補を後方動
詞格納手段2との一致検査を、一致するかまたは
あらかじめ指定された一致検査の繰り返しの段数
の最大数に達するまで繰り返す探索器である。
FIG. 1 is a block diagram showing a first embodiment of the invention of the present application. In FIG. 1, 1 is forward verb storage means for storing verb words, 2 is backward verb storage means for storing verb words, 4 is a counter, and 5 is for storing verbs and stopping the action indicated by each verb in units of verbs. A word dictionary 3 in which candidates for successor verbs to be terminated are registered; 3 checks whether the internally stored data matches the backward verb storage means 2; if they match, the process ends; if they do not match, a backward verb is selected from the word dictionary 5; The successor verb candidates of the data that do not match with the storage means 2 are retrieved from the word dictionary 3 and imported into the memory, and the candidates of the successor verbs of the data that do not match with the backward verb storage means 2 are again checked to see if they match or This is a searcher that repeats the matching test until it reaches the maximum number of repetition stages specified in advance.

利用者は、はじめに前方動詞格納器1と後方動
詞格納器2に動詞を、カウンタ4に一致検査の段
数の最大数を設定する。動詞単語が格納されてい
る前方動詞格納器1の値は探索器3に入力され、
そこで別の動詞単語が格納されている後方動詞格
納手段2の値と比較され、一致していれば正常終
了し、一致しないときは、カウンタ4の値を1減
じカウンタ4の値が0になれば制限段数に達した
ことを通知して処理を中断し、そうでなければ単
語辞書5から前方動詞格納器1の動詞の後継動詞
の候補を取り出して探索器3に格納し、前記後継
動詞の候補を1つずつ後方動詞格納器2の値と比
較し、一致すれば処理を正常終了する。1つも一
致しなければ、カウンタ4の値を1減じ、カウン
タ4の値が0になれば制限段数に達したことを通
知して処理を中断し、そうでなければ前記後継動
詞の候補の後継動詞の候補を単語辞書5から取り
出して探索器3に格納して、再び前記後継動詞の
候補の後継動詞の候補の1つ1つを後方動詞格納
器2の値と比較する検査を、一致するかまたはあ
らかじめ指定された一致検査の繰り返しの段数の
最大数に達するまで繰り返す。
The user first sets verbs in the forward verb storage 1 and backward verb storage 2, and sets the maximum number of steps for the coincidence check in the counter 4. The value of the forward verb store 1 in which the verb word is stored is input to the searcher 3,
There, it is compared with the value of the backward verb storage means 2 in which another verb word is stored, and if they match, the process ends normally, and if they do not match, the value of the counter 4 is subtracted by 1 and the value of the counter 4 becomes 0. If the limit number of stages has been reached, the process is interrupted, and if not, candidates for the successor verb of the verb in the forward verb storage 1 are retrieved from the word dictionary 5 and stored in the searcher 3, and the candidate of the successor verb is retrieved from the word dictionary 5. The candidates are compared one by one with the value in the backward verb storage 2, and if they match, the process ends normally. If there is no match, the value of counter 4 is decremented by 1, and if the value of counter 4 becomes 0, it is notified that the limit number of stages has been reached and the process is interrupted. If not, the successor of the successor verb candidate is The verb candidates are retrieved from the word dictionary 5 and stored in the searcher 3, and each of the successor verb candidates is again compared with the value of the backward verb storage 2 to find a match. or until a pre-specified maximum number of matching check repetition stages is reached.

次に、第1図実施例を一層具体化した本願の第
2の発明の第2の実施例を、図面を用いて説明す
る。第2図はその第2の実施例を示すブロツク図
である。第2図に示す動作連続検査装置は、動詞
を格納するレジスタ100,101と、先入れ先
出しの格納または取り出し機能を持つキユー10
2と2つの入力の一致を調べる一致検出器10
3,104と、カウンタ105と、動詞単語と前
記動詞単語の示す動作を中止させるか終了させる
後継動詞の候補を格納し動詞単語をキーとして渡
されると前記キーとして渡された動詞の後継動詞
の候補を出力する連想記憶106と、連想記憶1
06に格納されたすべてのデータと区別のつくデ
リミタを出力する定数発生器107と、キユー1
02への入力を選択するマルチプレクサ108と
からなる。
Next, a second embodiment of the second invention of the present application, which is a further embodiment of the embodiment shown in FIG. 1, will be described with reference to the drawings. FIG. 2 is a block diagram showing the second embodiment. The operation continuous testing device shown in FIG.
2 and a match detector 10 that checks for a match between two inputs.
3, 104, a counter 105, which stores a verb word and a candidate for a successor verb that stops or terminates the action indicated by the verb word; Associative memory 106 that outputs candidates and associative memory 1
A constant generator 107 outputs a delimiter that is distinguishable from all the data stored in 06, and
multiplexer 108 that selects the input to 02.

利用者は、前もつてレジスタ100と101に
動詞を、カウンタ105に一致検査の段数の最大
数を格納する。
The user previously stores the verb in the registers 100 and 101 and the maximum number of stages of the match check in the counter 105.

第2図の詳細な説明の前に、第4図を使つて第
2図で示す実施例の大まかな流れを説明する。説
明の例として第3図で示す「走る」と「寝る」を
意味的に結びつける例を使う。第4図において、
aは、第4図におけるレジスタ101とキユー1
02を表している。処理の初期状態として、レジ
スタ101には「寝る」が、キユー102には
「走る」と第2図における定数発生器107の生
成するデリミタが格納されている。以後、定数発
生器107の出力する定数値を#と表現する。ま
ず、キユー102の先頭の値、ここでは「走る」、
をレジスタ101の値と比較する。これは一致し
ないので「走る」はキユーから捨てられ、「走る」
の後継動詞の候補がキユー102の後尾に加えら
れる。これを示すのがbである。次に、キユー1
02の先頭の値を調べると#である。キユー10
2の先頭の値が#のときには#をキユー102の
後尾に加える。これを示すのがcである。このよ
うにキユー102の先頭の値をレジスタ101と
比較する処理が繰り返される、#が検出される度
に「走る」から始まつてその後継動詞の候補の探
索の段数が一つ進むことになる。第3図の例で
は、「走る」と「寝る」の接続をする間に2回
#を検出しているが、これは、第3図からもわか
るように「走る」と「寝る」の間は2段の距離が
あることを意味している。
Before detailed explanation of FIG. 2, the general flow of the embodiment shown in FIG. 2 will be explained using FIG. 4. As an example of explanation, we will use the example shown in FIG. 3 in which "run" and "sleep" are semantically linked. In Figure 4,
a is the register 101 and queue 1 in FIG.
It represents 02. As the initial state of the process, "sleep" is stored in the register 101, "run" is stored in the queue 102, and the delimiter generated by the constant generator 107 in FIG. 2 is stored. Hereinafter, the constant value output from the constant generator 107 will be expressed as #. First, the first value of Q102, here "run",
is compared with the value of register 101. Since this does not match, "running" is discarded from Kyuu, and "running" is discarded from Kyuu.
A successor verb candidate is added to the end of queue 102. b shows this. Next, Kyu 1
If you check the value at the beginning of 02, it is #. Kyu 10
When the first value of 2 is #, # is added to the tail of queue 102. This is shown by c. In this way, the process of comparing the first value of queue 102 with register 101 is repeated, and each time # is detected, the search for candidates for its successor verb, starting with "run", advances by one stage. . In the example in Figure 3, # is detected twice between the connection between "run" and "sleep", but as can be seen from Figure 3, this is because the # is detected between "run" and "sleep". means that there is a distance of two steps.

第2図の説明に戻る。まず、マルチプレクサ1
08はレジスタ100の値を選択して信号線20
0に出力し、キユー102は信号線200の値を
取り込む。次に、マルチプレクサ108は定数発
生器107の値を選択して信号線200に出力
し、キユー102は信号線200の値を取り込
む。キユー102は、内部に1つ以上のデータが
格納されていると、最も古く格納されたデータを
信号線202に出力する。信号線202の値が一
致検出器103に受け取られると、その値がキユ
ー102から捨てられる。一致検出器103は信
号線202で渡された値と信号線203を介して
入力される#との一致を調べる。一致すればカウ
ンタ105の値を1減じ信号線204に#を出力
しマルチプレクサ108は信号線204を選択し
信号線200に出力しキユー102が信号線20
0の値を取り込むが、一致しなければ信号線20
2の値をそのまま信号線205を介して一致検出
器104に渡す。カウンタ105は0になると処
理が制限回数に達したことを信号線201に通知
する。一致検出器104は、信号線205の値と
信号線206を介して渡されるレジスタ101の
値を比較し、一致すれば処理が終了したことを信
号線209に出力する。一致しなければ信号線2
07に信号線205の値をそのまま出力する。連
想記憶106は、信号線207の値をキーとして
対応する値を信号線208に出力し、マルチプレ
クサ108は信号線208の値を選択し信号線2
00に出力しキユー102が信号線200の値を
取り込む。
Returning to the explanation of FIG. First, multiplexer 1
08 selects the value of register 100 and connects it to signal line 20
0, and the queue 102 takes in the value of the signal line 200. Next, the multiplexer 108 selects the value of the constant generator 107 and outputs it to the signal line 200, and the queue 102 takes in the value of the signal line 200. When the queue 102 stores one or more pieces of data, it outputs the oldest stored data to the signal line 202. When the value on signal line 202 is received by match detector 103, the value is discarded from queue 102. The coincidence detector 103 checks whether the value passed on the signal line 202 and # input via the signal line 203 match. If they match, the value of the counter 105 is decremented by 1 and # is output to the signal line 204. The multiplexer 108 selects the signal line 204 and outputs it to the signal line 200, and the cue 102 selects the signal line 204.
The value of 0 is taken in, but if it does not match, the signal line 20
The value of 2 is passed as is to the coincidence detector 104 via the signal line 205. When the counter 105 reaches 0, it notifies the signal line 201 that the processing has reached the limit number of times. The coincidence detector 104 compares the value of the signal line 205 with the value of the register 101 passed through the signal line 206, and if they match, outputs to the signal line 209 that the processing has ended. If they do not match, signal line 2
07, the value of the signal line 205 is output as is. The associative memory 106 uses the value of the signal line 207 as a key and outputs the corresponding value to the signal line 208, and the multiplexer 108 selects the value of the signal line 208 and outputs the corresponding value to the signal line 208.
00, and the queue 102 takes in the value of the signal line 200.

(発明の効果) 以上に詳しく説明したように、本願の発明によ
れば、自然言語処理においてある動作と別の動作
の間の時間的連続性を判定することにより、アニ
メーシヨンにおいては複雑な動作列をスムーズな
流れで実現することが可能になり、文書理解シス
テムにおいては、入力文章中に陽に記述されなか
つた内容を推測するという文脈理解機能の一部と
なり、理解度の向上を図ることができる。
(Effects of the Invention) As explained in detail above, according to the invention of the present application, by determining the temporal continuity between a certain motion and another motion in natural language processing, complex motions in animation can be This makes it possible to realize a smooth flow of columns, and in document understanding systems, it becomes part of the context understanding function that infers content that is not explicitly stated in the input text, improving comprehension. I can do it.

【図面の簡単な説明】[Brief explanation of the drawing]

第1図は本願の発明の第1の実施例を示すブロ
ツク図、第2図は本願の第2の発明の第2の実施
例を示すブロツク図、第3図は本願の発明で用い
る単語辞書をグラフ的に表現した図、第4図は第
2図実施例における処理の概念を示す図である。 第1図において、1は前方動詞格納手段、2は
後方動詞格納手段、3は探索器、4はカウンタ、
5は単語辞書である。第2図において、100,
101はレジスタ、102はキユー、103,1
04は一致検出器、105はカウンタ、106は
連想記憶、107は定数発生器、108はマルチ
プレクサ、200,201,202,203,2
04,205,206,207,208,209
は信号線である。
Figure 1 is a block diagram showing a first embodiment of the invention of the present application, Figure 2 is a block diagram of a second embodiment of the second invention of the present application, and Figure 3 is a word dictionary used in the invention of the present application. FIG. 4 is a diagram illustrating the concept of processing in the embodiment of FIG. 2. In FIG. 1, 1 is a forward verb storage means, 2 is a backward verb storage means, 3 is a searcher, 4 is a counter,
5 is a word dictionary. In FIG. 2, 100,
101 is a register, 102 is a queue, 103,1
04 is a coincidence detector, 105 is a counter, 106 is an associative memory, 107 is a constant generator, 108 is a multiplexer, 200, 201, 202, 203, 2
04, 205, 206, 207, 208, 209
is a signal line.

Claims (1)

【特許請求の範囲】[Claims] 1 入力された動詞単語を格納する前方動詞格納
手段と;前記入力された動詞単語の次に入力され
た動詞単語を格納する後方動詞格納手段と;動詞
単位に各動詞の示す動作を中止させるか終了させ
る後継動詞の候補が登録され動詞が入力されると
前記入力される動詞の後継動詞の候補を出力する
単語辞書と;カウンタと;前記前方動詞格納手段
の値と前記後方動詞格納手段の値を比較して一致
すれば処理が終了したことを通知し一致しなけれ
ば前記カウンタの値を1減じ、前記カウンタの値
が0になれば処理の中断を通知し、0でなければ
前記前方動詞格納手段の値を前記単語辞書に渡し
て前記単語辞書から出力される前記前方動詞格納
手段が格納する動詞単語の後継動詞の候補をすべ
て取り込み、前記前方動詞格納手段が格納する動
詞単語の後継動詞の候補のそれぞれを前記後方動
詞格納手段が格納する動詞単語と比較し、一致す
れば処理が終了したことを通知し一致しなければ
前記カウンタの値を1減じ前記カウンタの値が0
になれば処理の中断を通知し、0でなければ前記
後継動詞の候補を前記単語辞書に渡して前記単語
辞書の出力を取り込み再び一致検査を繰り返す手
段とからなる動作連続検査装置。
1. Forward verb storage means for storing an input verb word; Backward verb storage means for storing a verb word input next to the input verb word; and whether to stop the action indicated by each verb on a verb basis a word dictionary that outputs candidates for successor verbs of the input verb when a candidate for a successor verb to be terminated is registered and a verb is input; a counter; a value in the forward verb storage means and a value in the backward verb storage means. If they match, it will be notified that the process has ended; if they do not match, the value of the counter will be decremented by 1; if the value of the counter becomes 0, it will be notified that the process is interrupted; if it is not 0, the forward verb The value of the storage means is passed to the word dictionary, and all successor verb candidates of the verb word stored in the forward verb storage means outputted from the word dictionary are taken in, and the successor verb of the verb word stored in the forward verb storage means is taken in. Each of the candidates is compared with the verb word stored in the backward verb storage means, and if they match, it is notified that the processing has ended, and if they do not match, the value of the counter is decremented by 1 and the value of the counter is 0.
If the verb becomes 0, it notifies the interruption of processing, and if it is not 0, the successor verb candidate is passed to the word dictionary, the output of the word dictionary is taken in, and the matching test is repeated again.
JP61204886A 1986-08-29 1986-08-29 Method and device for inspecting action consecutiveness Granted JPS6359665A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
JP61204886A JPS6359665A (en) 1986-08-29 1986-08-29 Method and device for inspecting action consecutiveness

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
JP61204886A JPS6359665A (en) 1986-08-29 1986-08-29 Method and device for inspecting action consecutiveness

Publications (2)

Publication Number Publication Date
JPS6359665A JPS6359665A (en) 1988-03-15
JPH0531188B2 true JPH0531188B2 (en) 1993-05-11

Family

ID=16498023

Family Applications (1)

Application Number Title Priority Date Filing Date
JP61204886A Granted JPS6359665A (en) 1986-08-29 1986-08-29 Method and device for inspecting action consecutiveness

Country Status (1)

Country Link
JP (1) JPS6359665A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH0650286U (en) * 1991-12-04 1994-07-08 京セラエルコ株式会社 Connector suction plate and connector having transport suction plate

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH0650286U (en) * 1991-12-04 1994-07-08 京セラエルコ株式会社 Connector suction plate and connector having transport suction plate

Also Published As

Publication number Publication date
JPS6359665A (en) 1988-03-15

Similar Documents

Publication Publication Date Title
Woods Augmented Transition Networks for Natural Language Analysis.
TW201032085A (en) Pattern-recognition processor with matching-data reporting module
JPS6359660A (en) Information processor
CN106874294A (en) A kind of information matching method and device
EP0575066A2 (en) Error handling in a state-free system
JPH0531188B2 (en)
Agarwal et al. Sentence formation in NLP engine on the basis of indian sign language using hand gestures
Meurers et al. A computational treatment of HPSG lexical rules as covariation in lexical entries
KR0151902B1 (en) Morpheme analysis device using recursive method
JPH0535906B2 (en)
JPS59221732A (en) Kana (japanese syllabary)/kanji (chinese character) conversion processor
JPH0293765A (en) Character retrieving device
JPH0540654A (en) Optional instruction tracing system
JP2797304B2 (en) Morphological analysis system
JPS63104133A (en) Tree searching system for logical language processing system
JP2644219B2 (en) Interaction processing method
JP2586172B2 (en) Table search device with learning function
JPS62206670A (en) Context analysis system for natural language
JPH01180040A (en) System and device for detecting phrase
Grammar EDRS PRICE
JPH04167176A (en) Speech recognition device
JPS6277677A (en) Grammar retrieval system for natural language syntax analysis
JPH02202673A (en) Sentence analyzing device
Kennedy et al. A comparison of retrieval and location operations in active and passive sentences
JPH0215372A (en) Electronic dictionary device and method for retrieving electronic dictionary