| model,7-1-H01-1070,ak | This paper proposes a practical approach employing <term> n-gram models </term> and <term> error-correction rules </term> for <term> Thai key prediction </term> and <term> Thai-English language identification </term> . | #1248 This paper proposes a practical approach employingn-gram models and error-correction rules for Thai key prediction and Thai-English language identification. | |
| model,10-1-H01-1070,ak | This paper proposes a practical approach employing <term> n-gram models </term> and <term> error-correction rules </term> for <term> Thai key prediction </term> and <term> Thai-English language identification </term> . | #1251 This paper proposes a practical approach employing n-gram models anderror-correction rules for Thai key prediction and Thai-English language identification. | |
| tech,13-1-H01-1070,ak | This paper proposes a practical approach employing <term> n-gram models </term> and <term> error-correction rules </term> for <term> Thai key prediction </term> and <term> Thai-English language identification </term> . | #1254 This paper proposes a practical approach employing n-gram models and error-correction rules forThai key prediction and Thai-English language identification. | |
| tech,17-1-H01-1070,ak | This paper proposes a practical approach employing <term> n-gram models </term> and <term> error-correction rules </term> for <term> Thai key prediction </term> and <term> Thai-English language identification </term> . | #1258 This paper proposes a practical approach employing n-gram models and error-correction rules for Thai key prediction andThai-English language identification. | |
| tech,4-2-H01-1070,ak | The paper also proposes <term> rule-reduction algorithm </term> applying <term> mutual information </term> to reduce the <term> error-correction rules </term> . | #1266 The paper also proposesrule-reduction algorithm applying mutual information to reduce the error-correction rules. | |
| measure(ment),7-2-H01-1070,ak | The paper also proposes <term> rule-reduction algorithm </term> applying <term> mutual information </term> to reduce the <term> error-correction rules </term> . | #1269 The paper also proposes rule-reduction algorithm applyingmutual information to reduce the error-correction rules. | |
| model,12-2-H01-1070,ak | The paper also proposes <term> rule-reduction algorithm </term> applying <term> mutual information </term> to reduce the <term> error-correction rules </term> . | #1274 The paper also proposes rule-reduction algorithm applying mutual information to reduce theerror-correction rules. | |
| tech,1-3-H01-1070,ak | Our <term> algorithm </term> reported more than 99 % <term> accuracy </term> in both <term> language identification </term> and <term> key prediction </term> . | #1278 Ouralgorithm reported more than 99% accuracy in both language identification and key prediction. | |
| measure(ment),7-3-H01-1070,ak | Our <term> algorithm </term> reported more than 99 % <term> accuracy </term> in both <term> language identification </term> and <term> key prediction </term> . | #1284 Our algorithm reported more than 99%accuracy in both language identification and key prediction. | |
| tech,10-3-H01-1070,ak | Our <term> algorithm </term> reported more than 99 % <term> accuracy </term> in both <term> language identification </term> and <term> key prediction </term> . | #1287 Our algorithm reported more than 99% accuracy in bothlanguage identification and key prediction. | |
| tech,13-3-H01-1070,ak | Our <term> algorithm </term> reported more than 99 % <term> accuracy </term> in both <term> language identification </term> and <term> key prediction </term> . | #1290 Our algorithm reported more than 99% accuracy in both language identification andkey prediction. |
