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[abb-1996-abstraction-underspecification-semantic-transfer](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/abb-1996-abstraction-underspecification-semantic-transfer/) — Who cites «Abstraction and underspecification in semantic transfer» - [abend-2013-universal-conceptual-cognitive-annotation-ucca](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/abend-2013-universal-conceptual-cognitive-annotation-ucca/) — Who cites «Universal Conceptual Cognitive Annotation (UCCA)» - [abend-2013-universal-conceptual-cognitive-annotation-ucca-2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/abend-2013-universal-conceptual-cognitive-annotation-ucca-2/) — Who cites «Universal Conceptual Cognitive Annotation (UCCA)» · page 2 - [abend-2020-cross-lingual-semantic-representation-nlp](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/abend-2020-cross-lingual-semantic-representation-nlp/) — Who cites «Cross-lingual Semantic Representation for NLP with UCCA» - [abrusan-2013-experimenting-king-france-topics-verifiability](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/abrusan-2013-experimenting-king-france-topics-verifiability/) — Who cites «Experimenting with the king of France: Topics, verifiability and definite descriptions» - [abulimiti-2023-when-generate-hedges-peer-tutoring](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/abulimiti-2023-when-generate-hedges-peer-tutoring/) — Who cites «When to generate hedges in peer-tutoring interactions» - [abzianidze-2017-parallel-meaning-bank-multilingual-corpus](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/abzianidze-2017-parallel-meaning-bank-multilingual-corpus/) — Who cites «The Parallel Meaning Bank: Towards a Multilingual Corpus of Translations Annotated with Compositional Meaning Representations» - [abzianidze-2017-parallel-meaning-bank-multilingual-corpus-2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/abzianidze-2017-parallel-meaning-bank-multilingual-corpus-2/) — Who cites «The Parallel Meaning Bank: Towards a Multilingual Corpus of Translations Annotated with Compositional Meaning Representations» · page 2 - [abzianidze-2019-first-shared-task-discourse-representation](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/abzianidze-2019-first-shared-task-discourse-representation/) — Who cites «The First Shared Task on Discourse Representation Structure Parsing» - [abzianidze-2020-drs-mrp-2020-dressing-up](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/abzianidze-2020-drs-mrp-2020-dressing-up/) — Who cites «DRS at MRP 2020: Dressing up Discourse Representation Structures as Graphs» - [abzianidze-2020-parallel-meaning-bank-framework-semantically](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/abzianidze-2020-parallel-meaning-bank-framework-semantically/) — Who cites «The Parallel Meaning Bank: A Framework for Semantically Annotating Multiple Languages» - [acl-2018-joshi-extending-parser-distant-domains-few](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/acl-2018-joshi-extending-parser-distant-domains-few/) — Who cites «Extending a Parser to Distant Domains Using a Few Dozen Partially Annotated Examples» - [acl-2019-flachs-historical-text-normalization-delayed-rewards](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/acl-2019-flachs-historical-text-normalization-delayed-rewards/) — Who cites «Historical Text Normalization with Delayed Rewards» - [acl-2019-fried-cross-domain-generalization-neural-constituency](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/acl-2019-fried-cross-domain-generalization-neural-constituency/) — Who cites «Cross-Domain Generalization of Neural Constituency Parsers» - [acl-2019-luo-neural-decipherment-minimum-cost-flow](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/acl-2019-luo-neural-decipherment-minimum-cost-flow/) — Who cites «Neural Decipherment via Minimum-Cost Flow: From Ugaritic to Linear B» - [acl-2019-zalmout-adversarial-multitask-learning-joint-multi](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/acl-2019-zalmout-adversarial-multitask-learning-joint-multi/) — Who cites «Adversarial Multitask Learning for Joint Multi-Feature and Multi-Dialect Morphological Modeling» - [acl-2020-alqahtani-multitask-learning-approach-diacritic-restoration](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/acl-2020-alqahtani-multitask-learning-approach-diacritic-restoration/) — Who cites «A Multitask Learning Approach for Diacritic Restoration» - [acl-2020-kitaev-tetra-tagging-word-synchronous-parsing](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/acl-2020-kitaev-tetra-tagging-word-synchronous-parsing/) — Who cites «Tetra-Tagging: Word-Synchronous Parsing with Linear-Time Inference» - [acl-2020-makarov-semi-supervised-contextual-historical-text](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/acl-2020-makarov-semi-supervised-contextual-historical-text/) — Who cites «Semi-supervised Contextual Historical Text Normalization» - [acl-2020-shi-extracting-headless-mwes-dependency-parse](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/acl-2020-shi-extracting-headless-mwes-dependency-parse/) — Who cites «Extracting Headless MWEs from Dependency Parse Trees: Parsing, Tagging, and Joint Modeling Approaches» - [acl-2020-zalmout-joint-diacritization-lemmatization-normalization-fine](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/acl-2020-zalmout-joint-diacritization-lemmatization-normalization-fine/) — Who cites «Joint Diacritization, Lemmatization, Normalization, and Fine-Grained Morphological Tagging» - [acl-2020-zhang-efficient-second-order-treecrf-neural](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/acl-2020-zhang-efficient-second-order-treecrf-neural/) — Who cites «Efficient Second-Order TreeCRF for Neural Dependency Parsing» - [acl-2021-qin-improving-arabic-diacritization-regularized-decoding](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/acl-2021-qin-improving-arabic-diacritization-regularized-decoding/) — Who cites «Improving Arabic Diacritization with Regularized Decoding and Adversarial Training» - [acl-2021-wicks-unified-approach-sentence-segmentation-punctuated](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/acl-2021-wicks-unified-approach-sentence-segmentation-punctuated/) — Who cites «A unified approach to sentence segmentation of punctuated text in many languages» - [acl-2022-seker-alephbert-language-model-pre-training](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/acl-2022-seker-alephbert-language-model-pre-training/) — Who cites «AlephBERT: Language Model Pre-training and Evaluation from Sub-Word to Sentence Level» - [acl-2023-amini-hexatagging-projective-dependency-parsing-as](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/acl-2023-amini-hexatagging-projective-dependency-parsing-as/) — Who cites «Hexatagging: Projective Dependency Parsing as Tagging» - [acl-2023-testa-we-understand-elliptical-sentences-language](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/acl-2023-testa-we-understand-elliptical-sentences-language/) — Who cites «We Understand Elliptical Sentences, and Language Models should Too: A New Dataset for Studying Ellipsis and its Interaction with Thematic Fit» - [acl-2024-kheir-beyond-orthography-automatic-recovery-short](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/acl-2024-kheir-beyond-orthography-automatic-recovery-short/) — Who cites «Beyond Orthography: Automatic Recovery of Short Vowels and Dialectal Sounds in Arabic» - [aclbulk-1988-kataja-finite-state-description-semitic-morphology](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/aclbulk-1988-kataja-finite-state-description-semitic-morphology/) — Who cites «Finite-state Description of Semitic Morphology: A Case Study of Ancient Accadian» - [aclbulk-1992-webster-tokenization-as-initial-phase-nlp](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/aclbulk-1992-webster-tokenization-as-initial-phase-nlp/) — Who cites «Tokenization as the Initial Phase in NLP» - [aclbulk-1994-kiraz-multi-tape-two-level-morphology](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/aclbulk-1994-kiraz-multi-tape-two-level-morphology/) — Who cites «Multi-Tape Two-Level Morphology: A Case Study in Semitic Non-Linear Morphology» - [aclbulk-1994-palmer-adaptive-sentence-boundary-disambiguation](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/aclbulk-1994-palmer-adaptive-sentence-boundary-disambiguation/) — Who cites «Adaptive Sentence Boundary Disambiguation» - [aclbulk-1994-ratnaparkhi-maximum-entropy-model-prepositional-phrase](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/aclbulk-1994-ratnaparkhi-maximum-entropy-model-prepositional-phrase/) — Who cites «A Maximum Entropy Model for Prepositional Phrase Attachment» - [aclbulk-1995-collins-prepositional-phrase-attachment-through-backed](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/aclbulk-1995-collins-prepositional-phrase-attachment-through-backed/) — Who cites «Prepositional Phrase Attachment through a Backed-off Model» - [aclbulk-1995-lauer-corpus-statistics-meet-noun-compound](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/aclbulk-1995-lauer-corpus-statistics-meet-noun-compound/) — Who cites «Corpus Statistics Meet the Noun Compound: Some Empirical Results» - [aclbulk-1998-barthelemy-morphological-analyzer-akkadian-verbal-forms](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/aclbulk-1998-barthelemy-morphological-analyzer-akkadian-verbal-forms/) — Who cites «A Morphological Analyzer for Akkadian Verbal Forms with a Model of Phonetic Transformations» - [aclbulk-1998-beesley-arabic-morphology-only-finite-state](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/aclbulk-1998-beesley-arabic-morphology-only-finite-state/) — Who cites «Arabic Morphology Using Only Finite-State Operations» - [aclbulk-1998-netzer-generating-determiners-quantifiers-hebrew](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/aclbulk-1998-netzer-generating-determiners-quantifiers-hebrew/) — Who cites «Generating Determiners and Quantifiers in Hebrew» - [aclbulk-1998-wintner-linguistically-motivated-computational-grammar-hebrew](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/aclbulk-1998-wintner-linguistically-motivated-computational-grammar-hebrew/) — Who cites «Towards a linguistically motivated computational grammar for Hebrew» - [aclbulk-2000-minnen-robust-applied-morphological-generation](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/aclbulk-2000-minnen-robust-applied-morphological-generation/) — Who cites «Robust, applied morphological generation» - [aclbulk-2000-pantel-unsupervised-approach-prepositional-phrase-attachment](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/aclbulk-2000-pantel-unsupervised-approach-prepositional-phrase-attachment/) — Who cites «An Unsupervised Approach to Prepositional Phrase Attachment using Contextually Similar Words» - [aclbulk-2000-roeck-morphologically-sensitive-clustering-algorithm-identifying](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/aclbulk-2000-roeck-morphologically-sensitive-clustering-algorithm-identifying/) — Who cites «A Morphologically Sensitive Clustering Algorithm for Identifying Arabic Roots» - [aclbulk-2000-stevenson-experiments-sentence-boundary-detection](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/aclbulk-2000-stevenson-experiments-sentence-boundary-detection/) — Who cites «Experiments on Sentence Boundary Detection» - [aclbulk-2001-copestake-algebra-semantic-construction-constraint-based](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/aclbulk-2001-copestake-algebra-semantic-construction-constraint-based/) — Who cites «An Algebra for Semantic Construction in Constraint-based Grammars» - [aclbulk-2001-gildea-corpus-variation-parser-performance](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/aclbulk-2001-gildea-corpus-variation-parser-performance/) — Who cites «Corpus Variation and Parser Performance» - [aclbulk-2001-gildea-corpus-variation-parser-performance-2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/aclbulk-2001-gildea-corpus-variation-parser-performance-2/) — Who cites «Corpus Variation and Parser Performance» · page 2 - [aclbulk-2001-hardt-generation-vp-ellipsis-corpus-based](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/aclbulk-2001-hardt-generation-vp-ellipsis-corpus-based/) — Who cites «Generation of VP Ellipsis: A Corpus-Based Approach» - [aclbulk-2001-rosario-classifying-semantic-relations-noun-compounds](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/aclbulk-2001-rosario-classifying-semantic-relations-noun-compounds/) — Who cites «Classifying the Semantic Relations in Noun Compounds via a Domain-Specific Lexical Hierarchy» - [aclbulk-2001-schone-knowledge-free-induction-inflectional-morphologies](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/aclbulk-2001-schone-knowledge-free-induction-inflectional-morphologies/) — Who cites «Knowledge-Free Induction of Inflectional Morphologies» - [aclbulk-2002-baroni-unsupervised-discovery-morphologically-related-words](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/aclbulk-2002-baroni-unsupervised-discovery-morphologically-related-words/) — Who cites «Unsupervised discovery of morphologically related words based on orthographic and semantic similarity» - [aclbulk-2002-darwish-building-shallow-arabic-morphological-analyser](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/aclbulk-2002-darwish-building-shallow-arabic-morphological-analyser/) — Who cites «Building a Shallow Arabic Morphological Analyser in One Day» - [aclbulk-2002-gal-hmm-approach-vowel-restoration-arabic](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/aclbulk-2002-gal-hmm-approach-vowel-restoration-arabic/) — Who cites «An HMM Approach to Vowel Restoration in Arabic and Hebrew» - [aclbulk-2002-kamir-comprehensive-nlp-system-modern-standard](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/aclbulk-2002-kamir-comprehensive-nlp-system-modern-standard/) — Who cites «A Comprehensive NLP System for Modern Standard Arabic and Modern Hebrew» - [aclbulk-2002-macks-parsing-akkadian-verbs-prolog](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/aclbulk-2002-macks-parsing-akkadian-verbs-prolog/) — Who cites «Parsing Akkadian Verbs with Prolog» - [aclbulk-2002-volk-combining-unsupervised-supervised-methods-pp](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/aclbulk-2002-volk-combining-unsupervised-supervised-methods-pp/) — Who cites «Combining Unsupervised and Supervised Methods for PP Attachment Disambiguation» - [aclbulk-2003-ciaramita-supersense-tagging-unknown-nouns-wordnet](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/aclbulk-2003-ciaramita-supersense-tagging-unknown-nouns-wordnet/) — Who cites «Supersense Tagging of Unknown Nouns in WordNet» - [aclbulk-2003-klein-accurate-unlexicalized-parsing](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/aclbulk-2003-klein-accurate-unlexicalized-parsing/) — Who cites «Accurate Unlexicalized Parsing» - [aclbulk-2003-klein-accurate-unlexicalized-parsing-10](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/aclbulk-2003-klein-accurate-unlexicalized-parsing-10/) — Who cites «Accurate Unlexicalized Parsing» · page 10 - [aclbulk-2003-klein-accurate-unlexicalized-parsing-2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/aclbulk-2003-klein-accurate-unlexicalized-parsing-2/) — Who cites «Accurate Unlexicalized Parsing» · page 2 - [aclbulk-2003-klein-accurate-unlexicalized-parsing-3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/aclbulk-2003-klein-accurate-unlexicalized-parsing-3/) — Who cites «Accurate Unlexicalized Parsing» · page 3 - [aclbulk-2003-klein-accurate-unlexicalized-parsing-4](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/aclbulk-2003-klein-accurate-unlexicalized-parsing-4/) — Who cites «Accurate Unlexicalized Parsing» · page 4 - [aclbulk-2003-klein-accurate-unlexicalized-parsing-5](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/aclbulk-2003-klein-accurate-unlexicalized-parsing-5/) — Who cites «Accurate Unlexicalized Parsing» · page 5 - [aclbulk-2003-klein-accurate-unlexicalized-parsing-6](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/aclbulk-2003-klein-accurate-unlexicalized-parsing-6/) — Who cites «Accurate Unlexicalized Parsing» · page 6 - [aclbulk-2003-klein-accurate-unlexicalized-parsing-7](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/aclbulk-2003-klein-accurate-unlexicalized-parsing-7/) — Who cites «Accurate Unlexicalized Parsing» · page 7 - [aclbulk-2003-klein-accurate-unlexicalized-parsing-8](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/aclbulk-2003-klein-accurate-unlexicalized-parsing-8/) — Who cites «Accurate Unlexicalized Parsing» · page 8 - [aclbulk-2003-klein-accurate-unlexicalized-parsing-9](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/aclbulk-2003-klein-accurate-unlexicalized-parsing-9/) — Who cites «Accurate Unlexicalized Parsing» · page 9 - [aclbulk-2004-buckwalter-issues-arabic-orthography-morphology-analysis](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/aclbulk-2004-buckwalter-issues-arabic-orthography-morphology-analysis/) — Who cites «Issues in Arabic Orthography and Morphology Analysis» - [aclbulk-2004-clark-importance-supertagging-wide-coverage-ccg](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/aclbulk-2004-clark-importance-supertagging-wide-coverage-ccg/) — Who cites «The Importance of Supertagging for Wide-Coverage CCG Parsing» - [aclbulk-2004-daya-learning-hebrew-roots-machine-learning](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/aclbulk-2004-daya-learning-hebrew-roots-machine-learning/) — Who cites «Learning Hebrew Roots: Machine Learning with Linguistic Constraints» - [aclbulk-2004-mccarthy-automatic-identification-infrequent-word-senses](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/aclbulk-2004-mccarthy-automatic-identification-infrequent-word-senses/) — Who cites «Automatic Identification of Infrequent Word Senses» - [aclbulk-2004-mcshane-ontosem-methods-processing-semantic-ellipsis](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/aclbulk-2004-mcshane-ontosem-methods-processing-semantic-ellipsis/) — Who cites «OntoSem Methods for Processing Semantic Ellipsis» - [aclbulk-2004-nielsen-robust-vpe-detection-automatically-parsed](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/aclbulk-2004-nielsen-robust-vpe-detection-automatically-parsed/) — Who cites «Robust VPE Detection using Automatically Parsed Text» - [aclbulk-2004-nielsen-verb-phrase-ellipsis-detection-automatically](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/aclbulk-2004-nielsen-verb-phrase-ellipsis-detection-automatically/) — Who cites «Verb Phrase Ellipsis detection using Automatically Parsed Text» - [aclbulk-2004-nivre-deterministic-dependency-parsing-english-text](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/aclbulk-2004-nivre-deterministic-dependency-parsing-english-text/) — Who cites «Deterministic Dependency Parsing of English Text» - [aclbulk-2005-curran-supersense-tagging-unknown-nouns-semantic](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/aclbulk-2005-curran-supersense-tagging-unknown-nouns-semantic/) — Who cites «Supersense Tagging of Unknown Nouns using Semantic Similarity» - [aclbulk-2005-habash-arabic-tokenization-part-speech-tagging](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/aclbulk-2005-habash-arabic-tokenization-part-speech-tagging/) — Who cites «Arabic Tokenization, Part-of-Speech Tagging and Morphological Disambiguation in One Fell Swoop» - [aclbulk-2005-habash-arabic-tokenization-part-speech-tagging-2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/aclbulk-2005-habash-arabic-tokenization-part-speech-tagging-2/) — Who cites «Arabic Tokenization, Part-of-Speech Tagging and Morphological Disambiguation in One Fell Swoop» · page 2 - [aclbulk-2005-habash-morphological-analysis-generation-arabic-dialects](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/aclbulk-2005-habash-morphological-analysis-generation-arabic-dialects/) — Who cites «Morphological Analysis and Generation for Arabic Dialects» - [aclbulk-2005-haim-choosing-optimal-architecture-segmentation-pos](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/aclbulk-2005-haim-choosing-optimal-architecture-segmentation-pos/) — Who cites «Choosing an Optimal Architecture for Segmentation and POS-Tagging of Modern Hebrew» - [aclbulk-2005-kim-automatic-interpretation-noun-compounds-wordnet](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/aclbulk-2005-kim-automatic-interpretation-noun-compounds-wordnet/) — Who cites «Automatic Interpretation of Noun Compounds Using WordNet Similarity» - [aclbulk-2005-marsi-memory-based-morphological-analysis-generation](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/aclbulk-2005-marsi-memory-based-morphological-analysis-generation/) — Who cites «Memory-Based Morphological Analysis Generation and Part-of-Speech Tagging of Arabic» - [aclbulk-2005-miyao-probabilistic-disambiguation-models-wide-coverage](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/aclbulk-2005-miyao-probabilistic-disambiguation-models-wide-coverage/) — Who cites «Probabilistic Disambiguation Models for Wide-Coverage HPSG Parsing» - [aclbulk-2005-nelken-arabic-diacritization-weighted-finite-state](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/aclbulk-2005-nelken-arabic-diacritization-weighted-finite-state/) — Who cites «Arabic Diacritization Using Weighted Finite-State Transducers» - [aclbulk-2005-yona-finite-state-morphological-grammar-hebrew](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/aclbulk-2005-yona-finite-state-morphological-grammar-hebrew/) — Who cites «A Finite-State Morphological Grammar of Hebrew» - [aclbulk-2006-adler-unsupervised-morpheme-based-hmm-hebrew](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/aclbulk-2006-adler-unsupervised-morpheme-based-hmm-hebrew/) — Who cites «An Unsupervised Morpheme-Based HMM for Hebrew Morphological Disambiguation» - [aclbulk-2006-chiang-parsing-arabic-dialects](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/aclbulk-2006-chiang-parsing-arabic-dialects/) — Who cites «Parsing Arabic Dialects» - [aclbulk-2006-goldberg-noun-phrase-chunking-hebrew-influence](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/aclbulk-2006-goldberg-noun-phrase-chunking-hebrew-influence/) — Who cites «Noun Phrase Chunking in Hebrew: Influence of Lexical and Morphological Features» - [aclbulk-2006-habash-magead-morphological-analyzer-generator-arabic](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/aclbulk-2006-habash-magead-morphological-analyzer-generator-arabic/) — Who cites «MAGEAD: A Morphological Analyzer and Generator for the Arabic Dialects» - [aclbulk-2006-mcclosky-effective-self-training-parsing](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/aclbulk-2006-mcclosky-effective-self-training-parsing/) — Who cites «Effective Self-Training for Parsing» - [aclbulk-2006-mcclosky-effective-self-training-parsing-2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/aclbulk-2006-mcclosky-effective-self-training-parsing-2/) — Who cites «Effective Self-Training for Parsing» · page 2 - [aclbulk-2006-mcclosky-effective-self-training-parsing-3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/aclbulk-2006-mcclosky-effective-self-training-parsing-3/) — Who cites «Effective Self-Training for Parsing» · page 3 - [aclbulk-2006-mcclosky-reranking-self-training-parser-adaptation](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/aclbulk-2006-mcclosky-reranking-self-training-parser-adaptation/) — Who cites «Reranking and Self-Training for Parser Adaptation» - [aclbulk-2006-mcclosky-reranking-self-training-parser-adaptation-2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/aclbulk-2006-mcclosky-reranking-self-training-parser-adaptation-2/) — Who cites «Reranking and Self-Training for Parser Adaptation» · page 2 - [aclbulk-2006-petrov-learning-accurate-compact-interpretable-tree](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/aclbulk-2006-petrov-learning-accurate-compact-interpretable-tree/) — Who cites «Learning Accurate, Compact, and Interpretable Tree Annotation» - [aclbulk-2006-petrov-learning-accurate-compact-interpretable-tree-2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/aclbulk-2006-petrov-learning-accurate-compact-interpretable-tree-2/) — Who cites «Learning Accurate, Compact, and Interpretable Tree Annotation» · page 2 - [aclbulk-2006-petrov-learning-accurate-compact-interpretable-tree-3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/aclbulk-2006-petrov-learning-accurate-compact-interpretable-tree-3/) — Who cites «Learning Accurate, Compact, and Interpretable Tree Annotation» · page 3 - [aclbulk-2006-petrov-learning-accurate-compact-interpretable-tree-4](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/aclbulk-2006-petrov-learning-accurate-compact-interpretable-tree-4/) — Who cites «Learning Accurate, Compact, and Interpretable Tree Annotation» · page 4 - [aclbulk-2006-petrov-learning-accurate-compact-interpretable-tree-5](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/aclbulk-2006-petrov-learning-accurate-compact-interpretable-tree-5/) — Who cites «Learning Accurate, Compact, and Interpretable Tree Annotation» · page 5 - [aclbulk-2006-tsarfaty-integrated-morphological-syntactic-disambiguation-modern](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/aclbulk-2006-tsarfaty-integrated-morphological-syntactic-disambiguation-modern/) — Who cites «Integrated Morphological and Syntactic Disambiguation for Modern Hebrew» - [aclbulk-2006-volk-how-bad-is-problem-pp](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/aclbulk-2006-volk-how-bad-is-problem-pp/) — Who cites «How Bad is the Problem of PP-Attachment? A Comparison of English, German and Swedish» **1**[2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/page/2/)[3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/page/3/)[4](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/page/4/)[5](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/page/5/)[6](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/page/6/)[7](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/page/7/)[8](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/page/8/)[9](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/page/9/)[10](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/page/10/)[11](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/page/11/)[12](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/page/12/)[13](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/page/13/)[14](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/page/14/)[15](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/page/15/)[16](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/page/16/)[17](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/page/17/)[18](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/page/18/)[19](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/page/19/)[20](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/page/20/)