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Two pointers :

Yoko Hasegawa, Against marking accent locations in japanese textbooksAgainst marking accent locations in japanese textbooks, Japanese-Language Education Around the Globe.

柴田{しばた} 武{たけし}・柴田{しばた} 里程{りてい}, アクセントは同音語{どうおんご}をどの程度{ていど}弁別{べんべつ}しうるか ---日本語{にほんご}・英語{えいご}・中国語{ちゅうごくご}の場合{ばあい} (Is Word-Accent Significant in Differentiating Homonyms in Japanese, English and Chinese?)

Abstract : To answer the question if word-accent is significant for differentiating homonyms, a probabilistic model is constructed and applied for real data. It is a binominal model for the number of key words in a set of homonyms, each of which generates a group of words with the same accent. The common probability of a keyword occurrence indicates how strongly homonyms are differentiated with word-accent, although the model fitting is good for Japanese but not so for either English or Chinese. The estimated probabilities are 0.1357, 0.0047 and 0.71 respectively for Japanese, English and Chinese, which are significantly different.

Two pointers :

Yoko Hasegawa, Against marking accent locations in japanese textbooks, Japanese-Language Education Around the Globe.

柴田{しばた} 武{たけし}・柴田{しばた} 里程{りてい}, アクセントは同音語{どうおんご}をどの程度{ていど}弁別{べんべつ}しうるか ---日本語{にほんご}・英語{えいご}・中国語{ちゅうごくご}の場合{ばあい} (Is Word-Accent Significant in Differentiating Homonyms in Japanese, English and Chinese?)

Abstract : To answer the question if word-accent is significant for differentiating homonyms, a probabilistic model is constructed and applied for real data. It is a binominal model for the number of key words in a set of homonyms, each of which generates a group of words with the same accent. The common probability of a keyword occurrence indicates how strongly homonyms are differentiated with word-accent, although the model fitting is good for Japanese but not so for either English or Chinese. The estimated probabilities are 0.1357, 0.0047 and 0.71 respectively for Japanese, English and Chinese, which are significantly different.

Two pointers :

Yoko Hasegawa, Against marking accent locations in japanese textbooks, Japanese-Language Education Around the Globe.

柴田{しばた} 武{たけし}・柴田{しばた} 里程{りてい}, アクセントは同音語{どうおんご}をどの程度{ていど}弁別{べんべつ}しうるか ---日本語{にほんご}・英語{えいご}・中国語{ちゅうごくご}の場合{ばあい} (Is Word-Accent Significant in Differentiating Homonyms in Japanese, English and Chinese?)

Abstract : To answer the question if word-accent is significant for differentiating homonyms, a probabilistic model is constructed and applied for real data. It is a binominal model for the number of key words in a set of homonyms, each of which generates a group of words with the same accent. The common probability of a keyword occurrence indicates how strongly homonyms are differentiated with word-accent, although the model fitting is good for Japanese but not so for either English or Chinese. The estimated probabilities are 0.1357, 0.0047 and 0.71 respectively for Japanese, English and Chinese, which are significantly different.

Two pointers :

Yoko Hasegawa, Against marking accent locations in japanese textbooks, Japanese-Language Education Around the Globe.

柴田{しばた}・柴田{たけし}・柴田{しばた} 里程{りてい}, アクセントは同音語をどの{どうおんご}をどの程度{ていど}弁別{べんべつ}しうるか ---日本語{にほんご}・英語{えいご}中国語中国語{ちゅうごくご}の場合{ばあい} (Is Word-Accent Significant in Differentiating Homonyms in Japanese, English and Chinese?)

Abstract : To answer the question if word-accent is significant for differentiating homonyms, a probabilistic model is constructed and applied for real data. It is a binominal model for the number of key words in a set of homonyms, each of which generates a group of words with the same accent. The common probability of a keyword occurrence indicates how strongly homonyms are differentiated with word-accent, although the model fitting is good for Japanese but not so for either English or Chinese. The estimated probabilities are 0.1357, 0.0047 and 0.71 respectively for Japanese, English and Chinese, which are significantly different.

Two pointers :

Yoko Hasegawa, Against marking accent locations in japanese textbooks, Japanese-Language Education Around the Globe.

柴田 武・柴田 里程, アクセントは同音語をどの程度弁別しうるか ---日本語・英語・中国語の場合 (Is Word-Accent Significant in Differentiating Homonyms in Japanese, English and Chinese?)

Abstract : To answer the question if word-accent is significant for differentiating homonyms, a probabilistic model is constructed and applied for real data. It is a binominal model for the number of key words in a set of homonyms, each of which generates a group of words with the same accent. The common probability of a keyword occurrence indicates how strongly homonyms are differentiated with word-accent, although the model fitting is good for Japanese but not so for either English or Chinese. The estimated probabilities are 0.1357, 0.0047 and 0.71 respectively for Japanese, English and Chinese, which are significantly different.

Two pointers :

Yoko Hasegawa, Against marking accent locations in japanese textbooks, Japanese-Language Education Around the Globe.

柴田{しばた}{たけし}・柴田{しばた} 里程{りてい}, アクセントは同音語{どうおんご}をどの程度{ていど}弁別{べんべつ}しうるか ---日本語{にほんご}・英語{えいご}中国語{ちゅうごくご}の場合{ばあい} (Is Word-Accent Significant in Differentiating Homonyms in Japanese, English and Chinese?)

Abstract : To answer the question if word-accent is significant for differentiating homonyms, a probabilistic model is constructed and applied for real data. It is a binominal model for the number of key words in a set of homonyms, each of which generates a group of words with the same accent. The common probability of a keyword occurrence indicates how strongly homonyms are differentiated with word-accent, although the model fitting is good for Japanese but not so for either English or Chinese. The estimated probabilities are 0.1357, 0.0047 and 0.71 respectively for Japanese, English and Chinese, which are significantly different.

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Two pointers :

Yoko Hasegawa, Against marking accent locations in japanese textbooks, Japanese-Language Education Around the Globe.

柴田 武・柴田 里程, アクセントは同音語をどの程度弁別しうるか ---日本語・英語・中国語の場合 (Is Word-Accent Significant in Differentiating Homonyms in Japanese, English and Chinese?)

Abstract : To answer the question if word-accent is significant for differentiating homonyms, a probabilistic model is constructed and applied for real data. It is a binominal model for the number of key words in a set of homonyms, each of which generates a group of words with the same accent. The common probability of a keyword occurrence indicates how stronlystrongly homonyms are differentiated with word-accent, although the model fitting is good for Japanese but not so for othereither English or Chinese. The estimated probabilities are 0.1357, 0.0047 and 0.71 respectively for Japanese, English and Chinese, which are significantly different.

Two pointers :

Yoko Hasegawa, Against marking accent locations in japanese textbooks, Japanese-Language Education Around the Globe.

柴田 武・柴田 里程, アクセントは同音語をどの程度弁別しうるか ---日本語・英語・中国語の場合 (Is Word-Accent Significant in Differentiating Homonyms in Japanese, English and Chinese?)

Abstract : To answer the question if word-accent is significant for differentiating homonyms, a probabilistic model is constructed and applied for real data. It is a binominal model for the number of key words in a set of homonyms, each of which generates a group of words with the same accent. The common probability of a keyword occurrence indicates how stronly homonyms are differentiated with word-accent, although the model fitting is good for Japanese but not so for other English or Chinese. The estimated probabilities are 0.1357, 0.0047 and 0.71 respectively for Japanese, English and Chinese, which are significantly different.

Two pointers :

Yoko Hasegawa, Against marking accent locations in japanese textbooks, Japanese-Language Education Around the Globe.

柴田 武・柴田 里程, アクセントは同音語をどの程度弁別しうるか ---日本語・英語・中国語の場合 (Is Word-Accent Significant in Differentiating Homonyms in Japanese, English and Chinese?)

Abstract : To answer the question if word-accent is significant for differentiating homonyms, a probabilistic model is constructed and applied for real data. It is a binominal model for the number of key words in a set of homonyms, each of which generates a group of words with the same accent. The common probability of a keyword occurrence indicates how strongly homonyms are differentiated with word-accent, although the model fitting is good for Japanese but not so for either English or Chinese. The estimated probabilities are 0.1357, 0.0047 and 0.71 respectively for Japanese, English and Chinese, which are significantly different.

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