5 Regex, (non-)deterministic automata
7 Ch3: Intro, 3.1, 3.2, 3.8, 3.9, 3.10, 3.11, Summary, Notes
8 Morfology, stem, affix, form words from stems, porterstemmer, spelling, minimal
11 Ch4: Intro, 4.1, 4.2, 4.3, 4.4, 4.5, 4.6, 4.7.intro, 4.8, 4.9, 4.10, 4.11, Summary, Notes
12 NGrams, smoothing, perplexity, entropy
15 POS-tagging, rulebased, hmm, viterbi, table, noisy channel, noisy channel
18 Ch6: Intro, 6.1, 6.2, 6.3, 6.4, 6.5, 6.6, 6.7, 6.8, Summary, Notes
19 hmm, forward, viterbi, forwardbackward, mem (hypothesis, iterate),
21 Ch7: Intro, 7.1, 7.3, 7.4, Summary
22 Phonetics, features, voicing, spectogram, IPA
25 Synthesis, (norm-phonetic-prosody-repr-make), diphone, unit selection
28 asr, cepstralfeature-model,likelihood-viterbi/codebook(distance), worderrorrate
30 Ch12: Intro, 12.1, 12.2, 12.3, 12.4, 12.5, 12.6, 12.7.intro, 12.7.1, 12.8, Summary, Notes
31 Grammar, CFG, sample grammars, head(most important), chomsky nf, spoken(disfl)
34 Syntax parsing, top down(cky), bottomup(early), partial(IOB)
36 Ch14: Intro, 14.2, 14.3, 14.4, 14.5, 14.6, 14.7, 14.8, 14.9, 14.10, Summary, Notes
37 Statistical parsing, PCFG, PCKY, rule calculation, problems, improvements,
38 lexicalized PCFG, collins, evaluation(rec/prec), human parsing(gardenpath)
40 Ch15: Intro, 15.1, 15.2, 15.3, 15.5.intro, 15.5.1, 15.6.intro, 15.6.1, Summary, Notes
41 Features, unification, structures, grammar addition, typing
43 Ch16: Intro, 16.1, 16.3, Summary
44 Complexity, chomsky hierarchy, nl not cfg
47 Meaning, ambiguity, fologin, canonical form, inference, expressiveness.
48 first order logic, lambda notation. event/state notation(time,aspect
49 description subsumption
51 Ch18: Intro, 18.1, 18.2, 18.6, Summary
52 Computational semantics, syntax driven, idioms and compositionality
55 Lexical semantics, word sense, relations(synonym...), wordnet, roles, propbank,
56 framenet, component analysis, metaphors
59 Computational lexical semantics, sense disambiguation, supervised method,
60 evaluation, dictionary method(lesk), bootstrapping, similarity(thesaurus,
61 distributional), vector distances, hyponymy, role labeling
64 Ch21: Intro, 21.1, 21.3, 21.4, 21.5, 21.6, 21.7, Summary
65 Computational discourse, dialogue, coherence, segmentation, reference
66 resolution, reference phenomena, pronom anaphora resolution, coreference
69 Information extraction, named entities(rec/prec), relations
70 ((lightly)supervised),, temporal/event(normalization, timebank) template
73 Ch23: Intro, 23.1, 23.2, 23.3, 23.6, Summary
74 question answering, summarization, information retrieval(vectorspace), factoid
75 answering(query formulation, classification, passage retrieval, answer
76 processing, evaluation), summarization, focussed summarization/qa
79 Dialogue, conversational agents, human conversation(turn taking, speech acts,
80 grounding, structure, implicature),
81 basic: dialogue system(asr, nul, ttl, dialogue manager,
82 confirmation/rejection), ds design/evaluation, information state(dialacts)
83 marko decision, plan based
86 Machine translation, difficulties(typology, structural divergence, lexical
88 classical mt: vauquois triangle, direct, syntactic transfer, semantic transfer
89 statistical mt: phrase based, alignment, IBM model, HMM alignment, EM training,