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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 11 of 11 1 ParaMor: Finding Paradigms across Morphology ... Monson, Christian; Carbonell, Jaime G.; Lavie, Alon. - : Figshare, 2018 BASE Show details 2 ParaMor: Minimally-Supervised Induction of Paradigm Structure and Morphological Analysis ... Monson, Christian; Carbonell, Jaime G.; Lavie, Alon. - : Figshare, 2018 BASE Show details 3 ParaMor: Finding Paradigms across Morphology ... Monson, Christian; Carbonell, Jaime G.; Lavie, Alon. - : Figshare, 2018 BASE Show details 4 Evaluating an Agglutinative Segmentation Model for ParaMor ... Monson, Christian; Lavie, Alon; Carbonell, Jaime G.. - : Carnegie Mellon University, 2008 BASE Show details 5 Evaluating an Agglutinative Segmentation Model for ParaMor ... Monson, Christian; Lavie, Alon; Carbonell, Jaime G.; Levin, Lori. - : Carnegie Mellon University, 2008 Abstract: This paper describes and evaluates a modification to the segmentation model used in the unsupervised morphology induction system, ParaMor. Our improved segmentation model permits multiple morpheme boundaries in a single word. To prepare ParaMor to effectively apply the new agglutinative segmentation model, two heuristics improve ParaMor’s precision. These precision-enhancing heuristics are adaptations of those used in other unsupervised morphology induction systems, including work by Hafer and Weiss (1974) and Goldsmith (2006). By reformulating the segmentation model used in ParaMor, we significantly improve ParaMor’s performance in all language tracks and in both the linguistic evaluation as well as in the task based information retrieval (IR) evaluation of the peer operated competition Morpho Challenge 2007. ParaMor’s improved morpheme recall in the linguistic evaluations of German, Finnish, and Turkish is higher than that of any system which competed in the Challenge. In the three languages of the IR ... Keyword: 80399 Computer Software not elsewhere classified; FOS Computer and information sciences URL: https://kilthub.cmu.edu/articles/Evaluating_an_Agglutinative_Segmentation_Model_for_ParaMor/6622136 https://dx.doi.org/10.1184/r1/6622136 BASE Hide details 6 Linguistic Structure and Bilingual Informants to Induce Machine Translation of Lesser-Resourced Languages ... Monson, Christian; Llitjós, Ariadna Font; Vamshi Ambati. - : Carnegie Mellon University, 2008 BASE Show details 7 Linguistic Structure and Bilingual Informants to Induce Machine Translation of Lesser-Resourced Languages ... Monson, Christian; Llitjós, Ariadna Font; Vamshi Ambati. - : Carnegie Mellon University, 2008 BASE Show details 8 Data Collection and Analysis of Mapudungun Morphology for Spelling Correction ... Monson, Christian; Levin, Lori; Vega, Rodolfo. - : Carnegie Mellon University, 2004 BASE Show details 9 Data Collection and Analysis of Mapudungun Morphology for Spelling Correction ... Monson, Christian; Levin, Lori; Vega, Rodolfo. - : Carnegie Mellon University, 2004 BASE Show details 10 Unsupervised Induction of Natural Language Morphology Inflection Classes ... Monson, Christian; Lavie, Alon; Carbonell, Jaime G.. - : Carnegie Mellon University, 2004 BASE Show details 11 Unsupervised Induction of Natural Language Morphology Inflection Classes ... Monson, Christian; Lavie, Alon; Carbonell, Jaime G.. - : Carnegie Mellon University, 2004 BASE Show details

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