Concordance

Query P99-1036 20 (640.3 per million)

model,3-1-P99-1036,ak	We present a <term> statistical model </term> of <term> Japanese unknown words </term> consisting of a set of <term> length and spelling models </term> classified by the <term> character types </term> that constitute a <term> word </term> .	#30749 We present astatistical model of Japanese unknown words consisting of a set of length and spelling models classified by the character types that constitute a word.
other,6-1-P99-1036,ak	We present a <term> statistical model </term> of <term> Japanese unknown words </term> consisting of a set of <term> length and spelling models </term> classified by the <term> character types </term> that constitute a <term> word </term> .	#30752 We present a statistical model ofJapanese unknown words consisting of a set of length and spelling models classified by the character types that constitute a word.
model,14-1-P99-1036,ak	We present a <term> statistical model </term> of <term> Japanese unknown words </term> consisting of a set of <term> length and spelling models </term> classified by the <term> character types </term> that constitute a <term> word </term> .	#30760 We present a statistical model of Japanese unknown words consisting of a set oflength and spelling models classified by the character types that constitute a word.
other,21-1-P99-1036,ak	We present a <term> statistical model </term> of <term> Japanese unknown words </term> consisting of a set of <term> length and spelling models </term> classified by the <term> character types </term> that constitute a <term> word </term> .	#30767 We present a statistical model of Japanese unknown words consisting of a set of length and spelling models classified by thecharacter types that constitute a word.
other,26-1-P99-1036,ak	We present a <term> statistical model </term> of <term> Japanese unknown words </term> consisting of a set of <term> length and spelling models </term> classified by the <term> character types </term> that constitute a <term> word </term> .	#30772 We present a statistical model of Japanese unknown words consisting of a set of length and spelling models classified by the character types that constitute aword.
other,7-2-P99-1036,ak	The point is quite simple : different <term> character sets </term> should be treated differently and the changes between <term> character types </term> are very important because <term> Japanese script </term> has both <term> ideograms </term> like <term> Chinese </term> ( <term> kanji </term> ) and <term> phonograms </term> like <term> English </term> ( <term> katakana </term> ) .	#30781 The point is quite simple: differentcharacter sets should be treated differently and the changes between character types are very important because Japanese script has both ideograms like Chinese (kanji) and phonograms like English (katakana).
other,17-2-P99-1036,ak	The point is quite simple : different <term> character sets </term> should be treated differently and the changes between <term> character types </term> are very important because <term> Japanese script </term> has both <term> ideograms </term> like <term> Chinese </term> ( <term> kanji </term> ) and <term> phonograms </term> like <term> English </term> ( <term> katakana </term> ) .	#30791 The point is quite simple: different character sets should be treated differently and the changes betweencharacter types are very important because Japanese script has both ideograms like Chinese (kanji) and phonograms like English (katakana).
other,23-2-P99-1036,ak	The point is quite simple : different <term> character sets </term> should be treated differently and the changes between <term> character types </term> are very important because <term> Japanese script </term> has both <term> ideograms </term> like <term> Chinese </term> ( <term> kanji </term> ) and <term> phonograms </term> like <term> English </term> ( <term> katakana </term> ) .	#30797 The point is quite simple: different character sets should be treated differently and the changes between character types are very important becauseJapanese script has both ideograms like Chinese (kanji) and phonograms like English (katakana).
other,27-2-P99-1036,ak	The point is quite simple : different <term> character sets </term> should be treated differently and the changes between <term> character types </term> are very important because <term> Japanese script </term> has both <term> ideograms </term> like <term> Chinese </term> ( <term> kanji </term> ) and <term> phonograms </term> like <term> English </term> ( <term> katakana </term> ) .	#30801 The point is quite simple: different character sets should be treated differently and the changes between character types are very important because Japanese script has bothideograms like Chinese (kanji) and phonograms like English (katakana).
other,29-2-P99-1036,ak	The point is quite simple : different <term> character sets </term> should be treated differently and the changes between <term> character types </term> are very important because <term> Japanese script </term> has both <term> ideograms </term> like <term> Chinese </term> ( <term> kanji </term> ) and <term> phonograms </term> like <term> English </term> ( <term> katakana </term> ) .	#30803 The point is quite simple: different character sets should be treated differently and the changes between character types are very important because Japanese script has both ideograms likeChinese (kanji) and phonograms like English (katakana).
other,31-2-P99-1036,ak	The point is quite simple : different <term> character sets </term> should be treated differently and the changes between <term> character types </term> are very important because <term> Japanese script </term> has both <term> ideograms </term> like <term> Chinese </term> ( <term> kanji </term> ) and <term> phonograms </term> like <term> English </term> ( <term> katakana </term> ) .	#30805 The point is quite simple: different character sets should be treated differently and the changes between character types are very important because Japanese script has both ideograms like Chinese (kanji) and phonograms like English (katakana).
other,34-2-P99-1036,ak	The point is quite simple : different <term> character sets </term> should be treated differently and the changes between <term> character types </term> are very important because <term> Japanese script </term> has both <term> ideograms </term> like <term> Chinese </term> ( <term> kanji </term> ) and <term> phonograms </term> like <term> English </term> ( <term> katakana </term> ) .	#30808 The point is quite simple: different character sets should be treated differently and the changes between character types are very important because Japanese script has both ideograms like Chinese (kanji) andphonograms like English (katakana).
other,36-2-P99-1036,ak	The point is quite simple : different <term> character sets </term> should be treated differently and the changes between <term> character types </term> are very important because <term> Japanese script </term> has both <term> ideograms </term> like <term> Chinese </term> ( <term> kanji </term> ) and <term> phonograms </term> like <term> English </term> ( <term> katakana </term> ) .	#30810 The point is quite simple: different character sets should be treated differently and the changes between character types are very important because Japanese script has both ideograms like Chinese (kanji) and phonograms likeEnglish (katakana).
other,38-2-P99-1036,ak	The point is quite simple : different <term> character sets </term> should be treated differently and the changes between <term> character types </term> are very important because <term> Japanese script </term> has both <term> ideograms </term> like <term> Chinese </term> ( <term> kanji </term> ) and <term> phonograms </term> like <term> English </term> ( <term> katakana </term> ) .	#30812 The point is quite simple: different character sets should be treated differently and the changes between character types are very important because Japanese script has both ideograms like Chinese (kanji) and phonograms like English (katakana).
measure(ment),1-3-P99-1036,ak	Both <term> word segmentation accuracy </term> and <term> part of speech tagging accuracy </term> are improved by the proposed <term> model </term> .	#30816 Bothword segmentation accuracy and part of speech tagging accuracy are improved by the proposed model.
measure(ment),5-3-P99-1036,ak	Both <term> word segmentation accuracy </term> and <term> part of speech tagging accuracy </term> are improved by the proposed <term> model </term> .	#30820 Both word segmentation accuracy andpart of speech tagging accuracy are improved by the proposed model.
model,15-3-P99-1036,ak	Both <term> word segmentation accuracy </term> and <term> part of speech tagging accuracy </term> are improved by the proposed <term> model </term> .	#30830 Both word segmentation accuracy and part of speech tagging accuracy are improved by the proposedmodel.
model,1-4-P99-1036,ak	The <term> model </term> can achieve 96.6 % <term> tagging accuracy </term> if <term> unknown words </term> are correctly segmented .	#30833 Themodel can achieve 96.6% tagging accuracy if unknown words are correctly segmented.
measure(ment),6-4-P99-1036,ak	The <term> model </term> can achieve 96.6 % <term> tagging accuracy </term> if <term> unknown words </term> are correctly segmented .	#30838 The model can achieve 96.6%tagging accuracy if unknown words are correctly segmented.
other,9-4-P99-1036,ak	The <term> model </term> can achieve 96.6 % <term> tagging accuracy </term> if <term> unknown words </term> are correctly segmented .	#30841 The model can achieve 96.6% tagging accuracy ifunknown words are correctly segmented.


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